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000-N09 exam Dumps Source : IBM LotusLive Technical Sales Mastery(R) Test v2
Test Code : 000-N09
Test cognomen : IBM LotusLive Technical Sales Mastery(R) Test v2
Vendor cognomen : IBM
: 40 real Questions
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IBM IBM LotusLive Technical Sales
Some investors behold loads of cost in Oracle (NYSE: ORCL) shares. The database-utility tremendous's personal administration, for one, lately called it "an superb purchase" and certified a further $10 billion of stock buybacks.
that's now not necessarily incorrect, but you should not maintain to loom too some distance afield to locate a higher cost inventory within the tech sector. at the moment, it live complicated to beat the lengthy-term value you are going to snare from IBM (NYSE: IBM) shares.
A stack of cash, topped with a bundle of rolled-up $10 bills. there's a shadow of this arrangement on the wall behind it that feels like a rocket in flight.
image source: Getty pictures.
Oracle is a former titan of enterprise on its manner down. a brand unusual breed of database systems has arrived, difficult now not best Oracle's enterprise mannequin however additionally the technical foundations of its flagship product line. the longer term belongs to so-known as NoSQL databases, that can disarrange and control unstructured facts at a scale and speed it really is fully alien to Oracle-style relational databases.
Even Oracle knows it and is taking allotment in catch-up with its own cloud-based mostly NoSQL platform. nevertheless it's too little, too late, and Oracle comes with the wrong variety of road cred to drag off that transformation.
IBM discovered itself in a similar situation five years in the past. Ex-CEO Sam Palmisano had pulled huge Blue up by its bootstraps, making a celebrated enterprise model the position one industry supplied the entire hardware, application, and associated functions it could engage to race a successful IT operation at industry scale. Oracle changed into one of the many would-be IBM clones that tried to reproduction Palmisano's incredible template.
but markets trade, and organizations like IBM and Oracle maintain to change together with the ambiance in the event that they want to reside principal and a hit. massive Blue's existing CEO Ginni Rometty stepped in with a lucid imaginative and prescient of melodramatic market adjustments and a mandate to accomplish anything changed into integral to dwell abreast with the brand unusual instances. Rometty did not simply observe that alternate however started spearheading the change confiscate away.
Half-a-decade later, cloud computing is the buzzword of alternative across the entire IT industry; here is precisely the position Rometty become aiming impeccable along. The enterprise has sacrificed billions of greenbacks in annual revenues by shedding out of date computing-hardware instruments to refocus on cloud-based facts analytics and administration. artificial intelligence plays a vast half in IBM's unusual strategy. So does company mobility, and the enterprise is a number one provider of blockchain applied sciences for company consumers.
when you are playing buzzword bingo at domestic, your gaming card need to live pretty complete with the aid of now. it is great. As I mentioned, IBM is driving many of these trends as opposed to just following alongside.
These so-referred to as strategic imperatives accounted for more than half of IBM's total earnings in 2018 and should most effective proceed to outgrow the remaining legacy operations over time. We're a hockey-stick second for IBM's long-term income boom, the position the annual raises should birth stacking up very promptly after a yoke of years of falling revenue. The identical tendencies should too extend IBM's earnings margins over the next few years.
The upshot: great Blue is successful -- and the stock is low-priced!
IBM's radical approach shift has been tough on its inventory prices. Its shares maintain lost 24% of their value over the remaining five years, or a much less hair-elevating 9% in case you account for its beneficiant dividend payouts along the way. nowadays, IBM shares are buying and selling at simply 9.5 times ahead salary and 12 instances trailing free money flows. that's a pleasant prick cost for a long-running turnaround account that is bouncing off the rock-backside deep finish of a 5-yr trough.
Glancing over at Oracle, I behold a corporation struggling to sustain with the changing markets instead of atmosphere the tone for a unusual period. Its shares are trading for 14 instances forward revenue and 16.6 times trailing cash flows. You simply cannot induce me that Oracle's shares are a stronger purchase than IBM's presently.
more From The Motley fool
Anders Bylund owns shares of IBM. The Motley fool owns shares of Oracle. The Motley fool is short shares of IBM and has birthright here alternatives: lengthy January 2020 $30 calls on Oracle. The Motley fool has a disclosure policy.
February 11, 2019 Timothy Prickett Morgan
If nothing else, the IBM i platform has exhibited marvelous longevity. One might even advertise legendary sturdiness, in case you wish to engage its history the entire manner again to the device/three minicomputer from 1969. this is the actual genesis point within the AS/four hundred household tree and here is when huge Blue, for very sound felony and technical and marketing reasons, determined to fork its products to address the wonderful needs of huge firms (with the gadget/360 mainframe and its follow-ons) and wee and medium agencies (starting with the system/3 and affecting on through the gadget/34, device/32, system/38, and system/36 in the 1970s and early Eighties and passing during the AS/four hundred, AS/400e, iSeries, device i, and then IBM i on vigour programs systems.
It has been a long race indeed, and a lot of valued clientele who maintain invested in the platform impeccable started manner back then and there with the early types of RPG and moved their applications forward and altered them as their agencies evolved and the depth and breadth of company computing changed, affecting on up via RPG II, RPG III, RPG IV, ILE RPG, and now RPG free kind. Being on this platform for even three many years makes you a relative newcomer.
there's a longer race forward, due to the fact that they disagree with that the businesses that are nevertheless working IBM i techniques are the real diehards, the ones who haven't any intent of leaving the platform and that, at least based on the survey statistics we've been privy too, are aspiring to proceed investing in, or even expand their investments in, the IBM i platform.
to this point, they aren't in a recession and heaven willing there should not one, so the priorities that IBM i shops maintain are not the ones that that they had a decade in the past impeccable through the height of the extremely pleasant Recession. again then, as became the case in essentially impeccable IT corporations, IBM i shops were hunkering down and had been trying to reduce fees in impeccable ways feasible, including deferring gadget enhancements and migrations as well as reducing back on other initiatives. most effective 29 percent of the 750 IBM i shops that participated in the 2019 IBM i industry Survey, which HelpSystems did again in October 2018, maintain been concerned about cutting back IT spending. here is a remarkably low stage, and i mediate is indicative of how particularly sturdy the economic climate is – excepting one of the fits and starts they saw on the conclusion of 2018 and birthright here in early 2019 that bear us anxious and will delivery putting favor on issues. here are the pleasant considerations as culled from the survey:
dealing with the augment in statistics and in determining the analytics to champ on that facts ranked a dinky bit better on the 2019 IBM i industry Survey than did reducing prices, and i feel over the long haul these concerns will gyrate into greater vital than modernizing applications and dealing with the IBM i knowledge shortages which are a perennial live concerned. both of those issues are being solved as unusual programmers and unusual tools to bear unusual interfaces to database functions maintain become greater regular and as technologies corresponding to free profile RPG, which looks more like Java, Python, and php, are being greater widely deployed and, importantly, will too live picked up more at once via programmers experienced with these other languages.
Given the nature of the client base, it looks unlikely to me that protection and tall availability will now not continue to live simple issues, despite the fact that the IBM i platform is among the many most relaxed systems in the world (and never simply because it is vague, however since it is tremendously difficult to hack) and it has quite a number tall availability and catastrophe recovery tools (from IBM, Syncsort, Maxava, and HelpSystems) attainable for those that wish to double up their methods and give protection to their functions and information. The bar is frequently larger than primary backup and recuperation for a lot of IBM i retail outlets in the banking, coverage, manufacturing, and distribution industries that dominate the platform. These agencies can’t maintain safety breaches, and they can’t maintain downtime.
there's a surprising volume of poise within the IBM i customer ground that they believe, at this element, is reflective in the stability of the IBM i platform and massive Blue’s own perception that it wants a match IBM i platform to maintain an usual vigorous dash systems business. they impeccable know that the power systems hardware industry has simply turned in five quarters of earnings augment – whatever thing they discussed recently in constructing their own profits model for the energy techniques company – but what they didn't understand, and what bethink to understand, is that in the second and third quarters of 2018, the IBM i component of the enterprise grew vastly quicker than the universal energy methods company, and the only antecedent that this did not gyrate up in the closing quarter of 2018 is that earnings of IBM i outfit in q4 2017 become reasonably mighty and represented a extremely difficult examine. The factor is, the IBM i company has been raising the power systems class regular. (These hints about the IBM i enterprise approach compliments of Steve Sibley, vice chairman and offering manager of Cognitive methods at IBM.)
IBM’s own fiscal steadiness of the vigour platform – which has been bolstered by pass of a rush into Linux clusters for analytics and exorbitant efficiency computing simulation and modeling in addition to via the adoption of the HANA in-reminiscence database by pass of SAP shoppers on massive iron machines including Power8 and now Power9 systems – helps IBM i purchasers believe extra assured in investing in the current IBM i platform. The simultaneous evidence from a yoke of different surveys, no longer just the one performed with the aid of HelpSystems each year, means that groups are by means of and massive both carrying on with to invest in the platform or even in some instances are planning to augment their spending on the IBM i platform in 2019.
As you could see, the pattern of investment plans for the IBM i platform, as proven within the chart above, has no longer changed very a whole lot in any respect in the past 4 years. it is a remarkably dependable pattern with however a dinky wiggling here and there that may too now not even live statistically large. just below a quarter of IBM i stores maintain reported during the past 4 years that they intent to enhance their funding in the platform in each yr, and just beneath half advertise that they are preserving consistent. This does not imply that the identical businesses, year after year, are investing more and other organizations are staying pat, yr after 12 months. it is much more seemingly that each handful of years – more like four or five – consumers improve their systems and extend their means, and that they then engage a seat tight. The prodigy is that the atomize up isn’t displaying some distance fewer corporations investing and far greater sitting tight. That greater than a tenth of the stores don’t understand what their intent is as every prior year involves a proximate is a dinky traumatic, but it surely is honest and shows that a significant portion of shops bear other priorities apart from hardware and operating device improvements. they maintain observed this earlier than and they can advertise it once more: They believe that the people who respond to surveys and browse weekly publications concentrated on the IBM i platform are probably the most lively retail outlets – the ones greater likely to dwell incredibly current on hardware and software. So the tempo of adoption for brand unusual applied sciences, and the cost of funding, should live bigger than in the specific base, an terrible lot of which doesn't exchange a lot at all.
So if they had to adjust this records to tackle the entire base, there might live a long pass fewer websites which are investing extra cash, much more companies which are sitting tight, and perhaps fewer sites which are considering affecting off the IBM i platform. I consider the distribution of information is doubtless some thing like 10 % of outlets maintain no conception what they are doing funding sensible with IBM this year, 5 p.c are pondering relocating some or impeccable of their applications to an extra platform, maybe 10 percent are investing extra this yr, and the eventual seventy five % are sitting tight. here is just a bet, of course. so far as they can inform, the cost of attrition – how many sites they really lose every 12 months – just a tad over 1 %. So the expense of movement of purposes off the platform, or incidences of unplugging IBM i databases and functions, may no longer live anywhere proximate as exorbitant in the ordinary ground as the data above suggests. what is alarming, in impeccable probability, is that the expense of relocating some or impeccable functions off the platform is balanced towards those that advertise they will enhance investments. perhaps these are hopeful survey takers, and those who believe it's convenient to circulation locate it isn't and people who suppose they're going to locate the money to bear investments will now not.
What they accomplish comprehend is that if the expense of software attrition became any position near as exorbitant as these surveys imply, then the IBM i enterprise would not live growing to be, but shrinking. And they comprehend it isn't shrinking, so they mediate there's a disconnect between planning and fact, each on the upside and the downside.
in case you drill down into the facts for the 2019 IBM i marketplace Survey, there were 13 percent of outlets that talked about they would live relocating some purposes to a unusual platform, and one more 9 p.c that mentioned they maintain been going to circulation impeccable of their purposes off IBM i. (This number is in step with the simultaneous ALL400s survey finished by pass of John Rockwell.)
Anyway, respectable pleasant fortune with that.
Porting applications from one platform to an extra, of purchasing a unusual suite on that unusual platform, is an enormously problematic project. It isn't like trying to exchange a tire while riding down the highway, as is a typical metaphor, but rather like attempting to engage the tire off one vehicle relocating down the toll road and installation it on yet another car using beside it within the adjoining lane without crashing either vehicle or smashing into any one else on the road. Optimism abounds, but when propel comes to shove, very few organizations try this sort of maneuver, and when they do, it's constantly as a result of there is a company mandate, extra instances than now not caused by means of a merger or acquisition, that pits some other platform against IBM i operating on power systems. groups that advertise they're making such a circulation off IBM i are sanguine for his or her personal personal motives, in impeccable probability, but they aren't necessarily sensible about how lengthy it might take, what disruption it is going to charge, and what optimum improvement, if any, may live realized.
if you accomplish the maths on the chart above, eight-tenths of the bottom has no thought how lengthy a circulate will take, another 1.7 p.c thinks it will engage greater than five years, and three p.c advertise it's going to engage between two years and five years. only 3.4 percent of the whole ground advertise they can accomplish it in under two years. They believe impeccable of these numbers are confident, and the agencies who might without vicissitude leave OS/four hundred and IBM i already did a long time ago and people that are remain maintain a tougher time, now not a simpler time, moving. If this maintain been no longer real, the IBM i ground can live a hell of lots smaller than the a hundred and twenty,000 valued clientele they consider are out there, in line with what huge Blue has advised us during the past. this is the change between worry or favor or pass of life and the fact of attempting to rush a company off one platform and onto a different. These strikes are always an terrible lot more durable than they spy on the entrance end, and they suspect many of the benefits too don’t materialize for those who accomplish soar systems.
at the ordinary attrition cost cautioned via this survey facts – 9 % circulation off the platform in someplace between three hundred and sixty five days and greater than 5 years, with most corporations not being able to behold more than 5 years into the long race this is a dapper trick – the installed ground would prick back dramatically. it is tough to pretense how a ways as a result of the wide selection of timeframes within the survey. If it was 9 % of the ground inside two years – summon it four.5 percent of the ground per yr – then within a decade the equitable ground would prick back from 120,000 IBM i websites global birthright down to about seventy two,000. this could melodramatic indeed. but at a 1 % attrition cost per 12 months, the bottom continues to live at 107,500 entertaining consumers (now not sites and not deliver in machines, both of which can live higher) through 2029. They feel there is every occasion that the attrition fee will in fact gradual and drop underneath 1 p.c as IBM demonstrates dedication to the vigour systems platform and its IBM i operating equipment. There are impeccable the time some unusual customers being brought in unusual markets, to bear certain, but the bleed cost (even if it is small) remains likely an order of magnitude bigger than the feed fee.
after they accomplish consider about making the movement, IBM i retail outlets know exactly where they are looking to go, and this reply has been regularly altering over the years: Linux as an alternative altenative to IBM i is on the upward propel and windows Server as an option is on the wane. within the newest survey, fifty two % of the corporations that said they maintain been affecting impeccable or some of their purposes to yet another platform said they had been making a altenative on home windows Server, while 34 % chose Linux. This reflects the relative popularity of windows Server and Linux in the datacenters of the realm at tremendous, and can live tipped simply a bit extra heavily towards Linux in comparison to the comfort of the realm. apparently, 10 percent of those polled who talked about they maintain been relocating were taking a spy at AIX structures, and yet another 4 % were going upscale to device z mainframes – as not likely as this may seem to be. systems are likely to roll downhill; they don't continually physiognomy gravity like that.
The factor about such surveys is that they exhibit intent, not motion. They commonly intend to accomplish much more than they basically can accomplish, and affecting structures after spending decades of building up knowledge isn't continually a really sapient rush until the platform is in precise problem – just like the Itanium systems from Hewlett Packard commercial enterprise working OpenVMS or HP-UX or the HP 3000s working MPE or the Sparc techniques from Oracle running Solaris. These maintain been as soon as first rate structures with huge deliver in bases and colossal salary streams, but now, IBM is the remaining of these Unix and proprietary systems with its vigour methods line. And it is via a ways the biggest and for bound the only one displaying any boom.
The IBM i ground Did indeed movement On Up
The IBM i ground Is ready to stream On Up
funding And Integration symptoms For IBM i
protection nonetheless Dominates IBM i dialogue, HelpSystems’ 2018 Survey displays
The IBM i ground no longer As Jumpy because it Has Been
The Feeds And Speeds Of The IBM i Base
IBM i Priorities For 2017: Pivot To defense
IBM i developments, issues, And Observations
IBM i Survey receives more advantageous As Numbers grow
where accomplish these IBM i Machines Work?
finding IBM i: A game Of 40 Questions
it is time to declare Us What you're up to
IBM i market Survey: The significance Of Being Earnest
What’s Up in the IBM i marketplace?
IBM i marketplace Survey Fills within the Blanks
In September 2018, IBM introduced a unusual product, IBM Db2 AI for z/OS. This artificial intelligence engine monitors information entry patterns from executing SQL statements, uses computer getting to know algorithms to decide upon most dependable patterns and passes this counsel to the Db2 query optimizer to live used by subsequent statements.
machine gaining knowledge of on the IBM z Platform
In may of 2018, IBM announced version 1.2 of its machine getting to know for z/OS (MLz) product. here's a hybrid zServer and cloud software suite that ingests efficiency records, analyzes and builds models that symbolize the health status of numerous symptoms, monitors them over time and provides real-time scoring capabilities.
a yoke of elements of this product offering are geared toward helping a community of mannequin builders and executives. for instance:
It helps multiple programming languages equivalent to Python, Scala and R. This allows for records modelers and scientists to exhaust a language with which they're ordinary;
A graphical consumer interface called the visual mannequin Builder courses mannequin builders devoid of requiring tremendously-technical programming advantage;
It comprises diverse dashboards for monitoring model effects and scoring features, as well as controlling the gadget configuration.
This computer getting to know suite became initially geared toward zServer-based analytics purposes. one of the crucial first evident selections changed into zSystem efficiency monitoring and tuning. device management Facility (SMF) records which are immediately generated by the operating outfit give the uncooked statistics for system resource consumption similar to valuable processor utilization, I/O processing, reminiscence paging and so forth. IBM MLz can compile and deliver these statistics over time, and construct and educate models of gadget conduct, ranking those behaviors, identify patterns no longer effortlessly foreseen through people, advance key efficiency symptoms (KPIs) after which feed the mannequin effects again into the device to touch system configuration adjustments that can enhance performance.
The next step become to implement this suite to resolve Db2 performance records. One answer, called the IBM Db2 IT Operational Analytics (Db2 ITOA) reply template, applies the computer discovering know-how to Db2 operational statistics to benefit an knowing of Db2 subsystem health. it could actually dynamically build baselines for key performance indicators, provide a dashboard of those KPIs and provides operational team of workers real-time insight into Db2 operations.
while widely wide-spread Db2 subsystem efficiency is an Important component in common utility fitness and efficiency, IBM estimates that the DBA aid group of workers spends 25% or greater of its time, " ... combating access course complications which antecedent performance degradation and repair maintain an repercussion on.". (See Reference 1).
AI involves Db2
trust the plight of modern DBAs in a Db2 atmosphere. In today's IT world they should assist one or greater huge statistics purposes, cloud utility and database functions, utility setting up and configuration, Db2 subsystem and software performance tuning, database definition and management, catastrophe restoration planning, and extra. query tuning has been in being in view that the origins of the database, and DBAs are constantly tasked with this as smartly.
The heart of question path analysis in Db2 is the Optimizer. It accepts SQL statements from applications, verifies authority to access the statistics, reviews the places of the objects to live accessed and develops an inventory of candidate statistics entry paths. These access paths can embrace indexes, desk scans, a lot of table live allotment of strategies and others. within the facts warehouse and massive statistics environments there are always further selections purchasable. One of those is the being of abstract tables (now and again called materialized query tables) that embrace pre-summarized or aggregated data, consequently allowing Db2 to evade re-aggregation processing. one other alternative is the starjoin access course, simple in the statistics warehouse, where the order of table joins is changed for performance explanations.
The Optimizer then reviews the candidate entry paths and chooses the access direction, "with the bottom can charge." can freight during this context capability a weighted summation of aid utilization including CPU, I/O, reminiscence and different supplies. at last, the Optimizer takes the lowest cost entry route, retailers it in reminiscence (and, optionally, in the Db2 listing) and starts access course execution.
big facts and records warehouse operations now encompass utility suites that permit the industry analyst to bear exhaust of a graphical interface to build and maneuver a miniature records model of the records they want to analyze. The applications then generate SQL statements in keeping with the users’ requests.
The vicissitude for the DBA
as a pass to accomplish decent analytics to your diverse facts outlets you need a fine knowing of the records requirements, an realizing of the analytical capabilities and algorithms accessible and a excessive-performance information infrastructure. unluckily, the number and placement of facts sources is increasing (each in dimension and in geography), information sizes are growing, and applications continue to proliferate in number and complexity. How should IT managers champion this atmosphere, especially with essentially the most experienced and ripen staff nearing retirement?
remember too that a huge allotment of cutting back the whole cost of ownership of these systems is to snare Db2 functions to race quicker and more correctly. This usually translates into using fewer CPU cycles, doing fewer I/Os and transporting much less statistics throughout the network. due to the fact that it is frequently complicated to even determine which applications could improvement from performance tuning, one mode is to automate the detection and correction of tuning considerations. here is the position computing device learning and synthetic intelligence can live used to exceptional effect.
Db2 12 for z/OS and artificial Intelligence
Db2 edition 12 on z/OS makes exhaust of the computer learning amenities outlined above to collect and deliver SQL query textual content and access path details, as well as exact performance-linked ancient assistance equivalent to CPU time used, elapsed times and result set sizes. This providing, described as Db2 AI for z/OS, analyzes and stores the statistics in computer researching fashions, with the model analysis outcomes then being scored and made attainable to the Db2 Optimizer. The next time a scored SQL remark is encountered, the Optimizer can then exhaust the model scoring data as input to its access route option algorithm.
The influence should live a discount in CPU consumption because the Optimizer uses model scoring enter to select superior access paths. This then lowers CPU prices and speeds application response instances. a significant talents is that the exhaust of AI software does not require the DBA to maintain statistics science talents or deep insights into query tuning methodologies. The Optimizer now chooses the top-quality entry paths based mostly no longer best on SQL question syntax and facts distribution facts but on modelled and scored historical efficiency.
This may too live particularly crucial in case you shop records in divorce locations. for example, many analytical queries against huge information require concurrent access to positive records warehouse tables. These tables are commonly referred to as dimension tables, and that they embrace the facts facets usually used to wield subsetting and aggregation. as an instance, in a retail environment accept as redress with a desk called StoreLocation that enumerates each shop and its vicinity code. Queries towards deliver earnings statistics may additionally want to mixture or summarize sales through location; therefore, the StoreLocation desk could live used by some great information queries. during this environment it's typical to engage the dimension tables and duplicate them continuously to the great information application. within the IBM world this location is the IBM Db2 Analytics Accelerator (IDAA).
Now feel about SQL queries from both operational applications, facts warehouse users and massive data industry analysts. From Db2's standpoint, impeccable these queries are equal, and are forwarded to the Optimizer. although, within the case of operational queries and warehouse queries they may soundless most likely live directed to entry the StoreLocation table in the warehouse. in spite of this, the query from the industry analyst against huge facts tables should doubtless entry the replica of the table there. This results in a proliferations of potential entry paths, and extra drudgery for the Optimizer. thankfully, Db2 AI for z/OS can deliver the Optimizer the suggestions it must bear smart access course selections.
how it Works
The sequence of events in Db2 AI for z/OS (See Reference 2) is commonly the following:
all over a bind, rebind, prepare or clarify operation, an SQL statement is passed to the Optimizer;
The Optimizer chooses the records entry direction; because the altenative is made, Db2 AI captures the SQL syntax, entry course option and query performance information (CPU used, and many others.) and passes it to a "researching project";
The getting to know project, which will too live done on a zIIP processor (a non-popular-goal CPU core that doesn't component into application licensing costs), interfaces with the machine researching application (MLz mannequin features) to deliver this counsel in a mannequin;
as the quantity of information in each model grows, the MLz Scoring carrier (which too can live accomplished on a zIIP processor) analyzes the mannequin statistics and rankings the conduct;
right through the next bind, rebind, prepare or explain, the Optimizer now has entry to the scoring for SQL fashions, and makes applicable changes to access direction decisions.
There are too numerous person interfaces that give the administrator visibility to the repute of the collected SQL observation efficiency statistics and mannequin scoring.
IBM's computer researching for zOS (MLz) providing is being used to notable upshot in Db2 edition 12 to augment the efficiency of analytical queries in addition to operational queries and their linked functions. This requires administration attention, as you must verify that your industry is ready to consume these ML and AI conclusions. How will you measure the charges and benefits of the usage of computing device learning? Which IT usher group of workers should live tasked to reviewing the outcomes of mannequin scoring, and perhaps approving (or overriding) the effects? How will you review and warrant the assumptions that the utility makes about entry path decisions?
In different phrases, how smartly accomplish you know your records, its distribution, its integrity and your present and proposed access paths? this could assess where the DBAs expend their time in supporting analytics and operational application performance.
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John Campbell, IBM Db2 unique EngineerFrom "IBM Db2 AI for z/OS: augment IBM Db2 software efficiency with laptop getting to know"https://www.worldofdb2.com/hobbies/ibm-db2-ai-for-z-os-enhance-ibm-db2-application-efficiency-with-ma
Db2 AI for z/OShttps://www.ibm.com/support/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html
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I recently finished Stanford’s excellent free on-line course Introduction to Databases with Jennifer Widom. The course is a broad survey of database technology including XML, Relational Database Management Systems (RDBMS) from many angles (SQL forms the centerpiece of the course), OLAP (OnLine Analytical Processing) and NoSQL.
I was very impressed with the breadth of Widom’s approach to the subject: it was a major intuition I decided to expend time on the course. Another might is its nuts-n-bolts approach: some theoretical topics are covered but for the most allotment this is a course for practitioners. Finally, I particularly appreciated the extensive exhaust of FOSS (Free and Open Source Software) in the course.
Why study databases? I will merely advertise that data is a core tool pervading the information resources of modern civilization. Databases are where data is housed. For example, the data constituting this blog is stored in a database and the selfsame can live said for much (if not all) of the Internet. Databases are a profoundly vital, vast picture subject.
Widom’s course is soundless open for enrollment in “archival mode” signification you can watch the videos, drudgery through the exercises, quizzes and exams, and track your progress, but the deadlines maintain expired and no more “Statements of Accomplishment” will live awarded (at least until the course is offered again). To complete the simple enrollment fade to db-class.org and start learning about databases with FOSS today!
Although the course is broadly useful for anyone wanting to learn the basics of databases from a broad perspective, I establish it to live particularly pleasant for learning about the FOSS tools that can champion database systems. So let’s start there.
FOSS Tools Covered
For traditional RDBMS, the course uses PostgreSQL, SQLite, and MySQL. Widom mentions some limitations of each database (DB) in regards to the SQL (Structured Query Language) standard including Important distinctions about using each system with triggers, transactions (PostgreSQL has the best support), Views (MySQL uses updatable views whereas PostgreSQL & SQLite exhaust triggers to modify views), recursion (only PostgreSQL and only in newer versions), and OLAP (only MySQL supports with rollup).
On the XML side, I scholarly xmllint and SAXON for XML validation, querying and transformation. The course covers the basics of DTDs, XML Schema, XPath, XQuery and XSLT. I used xmllint, saxonb-xquery, and saxonb-xslt to drudgery through the exercises (the searchable mp;A forum provides usage details).
Finally, for NoSQL there are two videos which survey the situation of the art. There is some depth on the Map Reduce framework provided by Hadoop. Several other FOSS systems are briefly discussed: Cassandra, Voldemort, CouchDB, MongoDB, and more. The NoSQL portion of the course is a pleasant overview of the technology, but there are no exercises and hence dinky depth of a concrete nature.
From a FOSS perspective, the course is exquisite: FOSS utilities were front and heart for the duration and some guidance in using these tools is provided. assist was readily available: I answered a few questions in the mp;A forum to assist people overcome hurdles and I used its search feature to overcome some of my own. In sum, studying this course will give you the lay of the land for FOSS database technology including some counsel about the limitations and strengths of its best database tools.
Stanford’s innovative platform for free on-line video courses
I am a vast fan of so-called Open Educational Resources (OER) including free on-line video courses. Stanford’s Databases course is the 12th I’ve completed, but only the second in which I did a “deep dive” by reinforcing learning with exercises, quizzes and exams. In general, I exhaust OER video courses as edutainment as I usually find the extra drudgery too time-consuming: my goal is to broadly understand how the world works, not to build expertise in every subject I study! So, conceptually, I prefer the traditional profile of video courses pioneered by MIT’s OpenCourseWare which in contrast with Stanford’s unusual approach might live called archived courses. Archived courses bear the material available without (m)any sociable tools. So, working through the materials in traditional OER courses usually requires extra self-discipline and commitment (unless you just watch the videos for fun as I often do).
Stanford’s OER system, online at coursera.org, builds on the basic concept of OER video courses by adding deadlines, interactive feedback from automatically evaluated work, and some, including the Databases course, present the competence to merit a “Statement of Accomplishment” for demonstrating basic proficiency. It is precisely these sociable enhancements that makes Stanford’s initiative so noteworthy. Together these sociable tools provide a shared savor with a lucid set of tasks for a cohort of students working through the course at the selfsame time.
The extra interactivity and the focus of deadlines give the Stanford approach to OER a special excitement and sense of goal accomplishment which is absent in archived courses. Even though I prefer the archived courses whose videos can live more entertaining than Stanford’s tutorial-focused approach, I maintain to admit I was enthralled by the deadlines: they kept me focused. It should live emphasized that Stanford’s courses like the more traditional OER archival courses can live pursued at a pace that suits your time and interest: there’s no imperative to result the deadlines or merit kudos for accomplishments.
How I used the course materials
Although I maintain been using databases professionally for many years, I had not read nor studied the subject in any depth previously. I decided to engage this occasion for a deep dive. Widom’s Databases course includes a simple enrollment process, tutorial-style videos (for download or in a browser with twinkle support), automatically graded exercises, quizzes, and exams each with arduous deadlines, a Course Materials section with many goodies, Optional Exercises, a FAQ, a mp;A forum, and a “Statement of Accomplishment” from the instructor if you completed a substantial portion of the coursework by the deadline (6,513 of the 91,000 students enrolled in the Fall 2011 Databases course earned one; here is mine).
First, I watched each video twice taking circumstantial handwritten notes on the second viewing (22 pages worth!). I then checked the twinkle version of the videos which often included inline questions that were very useful (Stanford’s twinkle video viewer is the best I’ve seen: it even supports speeding up the video by 1.2 or 1.5 times while automatically adjusting the pitch!).
Then I worked through the quizzes and exercises. One nice feature of both was that you could attempt them many times. Different variants were provided to many of the quiz questions to bear it harder to apply a blind crucible and oversight approach and you can continue to drudgery on them after getting them impeccable redress (which might live useful as a pass to exercise for the exams or to behold if you bethink anything of the course when you check back in 1 or 10 years). I establish the quizzes and exams to live very challenging and not so rewarding. Of course some mastery is required and acquired from the quizzes and for other learning styles they may prove more valuable than they were for me: referee for yourself.
The course included many supplementary exercises to provide extra practice. I used them for Relational Algebra and they were very helpful. However due to time constraints, I was unable to exhaust them further. Most of my time was spent working through the exercises. I did impeccable the exercises in an xterm window running sqlite, psql, xmllint, saxonb-xquery, or saxonb-xslt and pasting the results into the query workbench. This allowed me to really savor the FOSS tools “in the wild” which gave me a sturdy sense of their ins and outs. For me the interactive exercises were fantastic: they really helped me learn the material by directly engaging my problem solving faculty. They were like a real project with deadlines! Although I occasionally got ruffled with some of the difficult ones, they were engaging and fun!
Although the course web site is very simple and well-designed, it was soundless workable to maintain vicissitude finding some of the gems provided for the students. For example, it took me awhile to find the code used in the demos (which was extremely useful by the way): the Course Materials section of the site has impeccable the goodies you need but you maintain to mouse over the icons to behold treasures that loom hidden at first (remember to birthright click to download). too spy carefully at the prescripts or postscripts affixed to some sections: more treasures.
The mp;A forum was helpful for finding things that were not at first apparent. A yoke of times I scoured the Internet or Wikipedia looking for other angles on the material to understand a point I was struggling with. impeccable drudgery for the class is “open book”, so I only prepared for the exams by simply reviewing my notes.
Advice for students
I recommend taking the course now even though the deadlines maintain expired. Feel free to skip any allotment of the course that your interests, time constraints, and patience warrant. If the course is ever offered again, you will already know much of the material which should assist you merit a “Statement of Accomplishment”. If not, you will better understand a broadly useful, Important and keen subject.
If you want to accomplish a “lite” version of the course, I recommend skipping the quizzes and exams. In addition, many of the topics can live skipped if you are short on time or find them uninteresting. To her credit Jennifer Widom recommended as much in her screen side chats which provided a wonderful human dimension to the course. Although some of the material is cumulative, there are several parts of the course for which skipping is a real option. For example, the Relational Algebra (I thoroughly enjoyed doing those exercises!!!) and the Relational Design Theory topics are, I think, less Important especially if you just want to acquire basic DBA skills. I deal with enough XML, that I establish that allotment of the course extremely useful, but I can imagine someone who just needs SQL might skip those parts. This is a free course: you can live creative in how you exhaust the materials so that you snare what you want out of it!
I recommend doing the exercises associated with each topic (some did not maintain exercises). Some of them are quite challenging and some took me quite a bit of time. If necessary, skip some of the harder ones. If time is really pressing, just watch the videos that particularly interest you: bethink this is a free resource: you can tailor your drudgery on the course in whatever pass suits your interests and time.
I did not buy nor borrow a textbook for the course (I was very impressed that Widom prepared reading assignments for four divorce texts in the Course Materials sections of the site. Wow, that must maintain been a lot of work!). Having been through the course, I mediate a text is unnecessary for most students. You may find a few topics that are arduous for you or for which the videos were insufficient to master the material. Since textbooks are more comprehensive and more detailed, they could assist fill in the gaps. In particular diligent students may want a text. I prefer to learn iteratively, that is, I would prefer a shallow course today and another later that goes in more depth (I might even prefer to engage two lite courses to build my mastery of a subject by degrees). But if you want a more complete savor now, then by impeccable means snare a textbook and dig in!
Other OER Database Resources
In addition to the OER resources below, I establish occasion to reference Widom’s course site for Stanford students in the allied CS145 Introduction to Databases and her colleague Jeff Ullman’s offering of CS145 from Autumn 2002. MIT OCW has 6.814/6.830 on Database Systems which looks a bit too advanced for an introductory course and MIT OCW has 1.264J/ESD.264J Database, Internet, and Systems Integration Technologies which I establish useful to supplement Widom’s course (especially for Relational Design Theory). Finally, the Indian Institutes of Technology (IIT) has a complete video course (with 43 videos totaling 40 hours and 17 minutes) on Database Management Systems or watch its YouTube playlist (I did not spy at these videos, but I’ve seen other IIT material and they are usually very informative and accurate).
Stanford’s exciting unusual system for on-line courses is remarkable in its exhaust of sociable tools to engage students. This is a boon to the OER movement! In today’s rapidly changing world, refreshing and expanding one’s skills is essential to apprehending the needs and opportunities that abound if you are nosy enough!
I’m hooked! Although I soundless treasure and will continue to exhaust archived courses, I will live checking to behold if Stanford has any courses of interest regularly from now on! I’ve signed up for several of Stanford’s offerings (there are 16 of them!) for Winter term with the intent of “dropping” or doing a “shallow dive” (maybe just watch a few videos and accomplish some exercises as interest permits). But I am eying the Model Thinking course for a workable deep dive. To behold the complete list of offerings fade to Class Central: Summary of Stanford’s online course offerings and intent your learning for the Winter term which starts next Monday, January 23rd!
Stanford’s Fall 2011 edition of Introduction to Databases was a worthy course! Kudos to Jennifer Widom and everyone at Stanford who made this possible.
If you haven’t started or finished it yet, head over to db-class.org now and snare to it! It is one of the best resources on the Internet for learning about databases. Moreover, it includes the special benefit of covering a broad range of Important FOSS database tools.
Other Reviews of Widom’s Databases Course