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GENEVA and ARMONK, N.Y., Feb. 20, 2019 /PRNewswire/ -- COFCO alien (CIL) has chosen IBM (NYSE: IBM) to integrate and digitally radically change its trade processes with the implementation of a brand unique SAP platform, including SAP S/4HANA®, SAP® Ariba®, SAP® SuccessFactors® and SAP grasp records Governance.
CIL is the alien places agriculture company platform for COFCO service provider, China's largest food and agriculture company. With $34B in annual income and over 100 million heaps shipped in 2017, CIL has at once become a leading, global agribusiness.
Standardizing strategies across CIL's monetary, procurement, and production actions will enable the trade to integrate its enterprise operations with other essential activities equivalent to its core commodity buying and selling system. This digital transformation will provide CIL with the platform it must additional develop its agribusiness.
Over a two-year duration, CIL and IBM will accomplice to design and check a worldwide template, pilot the solution, after which roll it out to over 30 countries. IBM functions will set up IBM's influence options and Agile methods, utilising essentially the most advanced set of pre-configured options for SAP S/4HANA and SAP Ariba accessible within the trade to jumpstart the design aspect and precipitate up implementation. With SAP Ariba, CIL will espy a quick transition from legacy, analogue procurement, to digital tactics, improved stakeholder experiences, greater possibility management, and decreased prices.
"IBM functions will assist us hastily digitally seriously change their business, standardize and simplify their processes, and vertically integrate their operations," said Mr. Andre Schneiter COFCO international CIO.
"IBM is overjoyed to be able to uphold COFCO international obtain their vision of standardized end-to-end procedures across their operations. With their Have an impact on solution, they can straight away aid to build a good, built-in give chain and matching lower back End trade procedures in order to supply COFCO overseas's leadership visibility and manage across their whole give chain," said Cathy Rogerson, IBM features vice president for the CPG, Agribusiness and Retail industries in Europe.
ABOUT COFCO overseas LTD.
With 12,000 americans in 35 countries, COFCO alien is the remote places agriculture enterprise platform for COFCO enterprise, China's biggest meals and agriculture business. COFCO alien is concentrated on being a pacesetter within the global grains, oilseeds and sugar give chains, with property across the Americas, Europe and Asia-Pacific. The trade trades with over 50 international locations, while featuring farmers exciting direct entry to the turning out to be chinese market. In 2017, COFCO alien dealt with over a hundred million tonnes of related commodities with revenues of $34bn. The trade is accelerating its growth to create a world-type integrated global agriculture provide chain, anchored in China and competing globally.
For more, argue with: www.cofcointernational.com
For additional assistance on IBM tickle argue with www.ibm.com/capabilities
SAP, SAP S/4HANA and other SAP products and capabilities mentioned herein in addition to their respective trademarks are trademarks or registered trademarks of SAP SE (or an SAP affiliate company) in Germany and other international locations. totality different product and service names outlined are the trademarks of their respective agencies. tickle see http://www.sap.com/trademark for further trademark assistance and notices.
Allan VirtanenDirector Communications, COFCO Internationalpress@cofcointernational.com
Ken SaundersExternal family members, IBM global trade Servicessaundken@uk.ibm.com +447887830036
View long-established content to download multimedia:http://www.prnewswire.com/news-releases/cofco-international-selects-ibm-functions-for-global-digital-transformation-300798791.html
Copyright (C) 2019 PR Newswire. totality rights reserved
The IBM InfoSphere assistance Server for facts Integration comprises a few application and records integration products that allow agencies to cleanse, radically change, convey and monitor facts.
The device, which is a component of IBM's InfoSphere suggestions Server platform, makes it practicable for groups to combine statistics from disparate systems, together with database administration programs, mammoth records constructions, enterprise aid planning and CRM techniques, in addition to on-premises and cloud sources. These integration capabilities additionally lengthen to messaging methods; net services; companionable media; and proprietary techniques equivalent to mainframes, midrange techniques and statistics home equipment.
products during this single, unified platform consist of InfoSphere DataStage, InfoSphere exchange statistics seize, InfoSphere information Architect, InfoSphere information Replication, InfoSphere Blueprint Director, InfoSphere guidance Governance Catalog and InfoSphere suggestions services Director.
The newest version, 11.5, offers the following updates:
better scalability and performance and the skill to utilize a vastly parallel processing (MPP) query engine that runs natively on Hadoop
stronger interactivity with the Hadoop dispensed File gadget
extra prebuilt connectors to a whole lot of enterprise applications
The capability to set up integration procedures with an extract, load and transform structure the utilize of push-down optimization.
Who merits from the usage of the IBM InfoSphere assistance Server?
IBM's items are oriented to immense businesses, specially these with numerous integration uses and projects and those that arrangement to continue to expand ensuing integration purposes. InfoSphere tips Server, along with its statistics Integration bundle, offers capabilities helping software integration, cloud integration, statistics best, grasp facts management and hybrid integration uses.
What variations of IBM InfoSphere tips Server are available?
it be offered as a standalone product bundle or is included within the InfoSphere guidance Server trade version. The enterprise edition besides comprises the IBM InfoSphere suggestions Server for facts trait and IBM InfoSphere tips Server for assistance Governance Catalog bundles.
The information Integration bundle can besides be deployed on AIX, Linux and windows, in addition to on Hadoop using MPP. The repository can invent the most of numerous database administration programs.
Contact IBM for the quite a lot of product bundling and pricing alternate options.
Which database performance tackle does your organization want?
The future of statistics curation
How statistics exceptional metrics measure up for facts governance
ny--(company WIRE)--Kingland programs, a premier issuer of financial capabilities software and statistics solutions, today introduced it'll embed IBM’s InfoSphere grasp records management Server and different IBM application into its 360 records™ line of commercial enterprise facts management options for the financial features trade through an common machine brand (OEM) agreement with IBM. This agreement marks a selection of Kingland’s relationship with IBM, focusing on global grasp statistics management (MDM) software and records options, optimized for immense fiscal features institutions.
David Kingland, President and CEO of Kingland programs, says that, “during this era of chance sensitivity, mergers and acquisitions, and evolving compliance regulations, the want for highly correct records and enterprise-category MDM application has not ever been superior. Their years of experience Have shown us that monetary capabilities enterprise facts problems require customizing the solution to the actual needs of the customer, so they chose to group with IBM, whose unique MDM application items are built for customization and will enable us remedy their shoppers’ issues much faster and more exactly.”
“during the technologies and trade-certain competencies we're bringing collectively, Kingland and IBM can carry grasp records management solutions which are tailored to the exciting wants of monetary associations,” talked about Rob Thomas, vice chairman, information management, IBM. “by incorporating IBM applied sciences into its own choices, Kingland can greater rapidly convey springy and scalable economic features grasp records and application solutions.”
To tackle customers’ needs for custom-made MDM options, IBM these days delivered grasp counsel Hub, an not obligatory component of InfoSphere grasp facts management Server 9.0. master counsel Hub turned into created for corporations seeking to construct a master statistics administration system that contains custom-constructed statistics domains apart from IBM’s pre-built domains for customer, product and account. These purchasers can utilize grasp counsel Hub to enhance a custom MDM atmosphere to set up a trusted view of any class of grasp assistance. for instance, the usage of Kingland's “securities and company hierarchy” domains together with IBM’s MDM Server, a financial institution's chance operation would profit entry to a comprehensive view of totality enterprise holdings, purchasers, subsidiaries, and complicated enterprise relationships from across assorted traces of business.
Kingland’s 360 DataTMincludes two styles of outsourced reference records solutions, 360 information master File and 360 facts Reference Desk. 360 records grasp File is a managed facts respond that offers purchasers with a tremendously correct database of trade entities, securities, complex relationships, movements and different sorts of economic capabilities statistics. This grasp file is managed with customer-specific trade rules and includes a concordance to diverse trade and client-particular identifiers, and may be supplied by way of file or net services. The 360 data Reference Desk solution provides ”on demand” facts cleaning, augmentation, and validation for vital trade techniques corresponding to client on-boarding, chance analysis, and compliance functions.
both solutions are supported with the aid of Kingland’s proprietary suite of facts management utility, IBM’s unique grasp tips Hub, and Kingland’s extensive database of greater than 4 million world securities and 5.25 million titillating trade identifiers with linkages to greater than 900,000 company entity information and company hierarchies.
Kingland will even be launching a brand unique monetary features optimized MDM platform in 360 records enterprise Hub. Developed using IBM’s InfoSphere grasp data management Server, 360 facts trade Hub will give monetary institutions with trade specific data domains, feed handlers, trade manner and facts management workflows, consumer interfaces, statistics protection and first-class techniques which are totality optimized to uphold the wide purview of records essential to mammoth banking, capital markets, and other financial features establishments.
Tony Brownlee, head of economic capabilities MDM at Kingland says, “the blend of IBM’s funding in MDM and Kingland’s monetary features information expertise could be effectual for their shoppers. Their heart of attention with 360 DataTMis enterprise scalability, customizable statistics fashions, springy structure, and as always, enormously correct records.” The 360 facts suite of solutions helps companies power pass-organizational revenue increase, control enterprise risk and compliance, and in the reduction of basic IT prices in their commercial enterprise facts administration initiatives.
About Kingland methods
Kingland methods is a full service technology functions company and a number one provider of outsourced reference statistics management, statistics cleaning, and other master information management solutions; serving huge banks, insurance businesses, broker dealers, and accounting establishments considering 1992. Kingland operates probably the most greatest information cleansing operations in the trade, discovered on-shore within the US and gives particularly correct, commercial enterprise statistics administration solutions, statistics management software, and knowledgeable functions. Kingland’s information options assist greater than 500,000 knowledgeable users in over a hundred and forty countries.
For extra suggestions about Kingland methods and its corporations, tickle search advice from: www.kingland.com
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This year has already been marked as the year of “big data” in the cloud, with major PaaS players, such as Amazon, Google, Heroku, IBM and Microsoft, getting a lot of publicity. But which providers actually proffer the most complete Apache Hadoop implementations in the public cloud?
It’s becoming pellucid that Apache Hadoop, along with HDFS, MapReduce, Hive, Pig and other subcomponents, are gaining momentum for mammoth data analytics as enterprises increasingly adopt Platform as a Service (PaaS) cloud models for enterprise data warehousing. To betoken Hadoop has matured and is ready for utilize in production analytics cloud environments, the Apache Foundation upgraded to Hadoop v1.0.
The capability to create highly scalable, pay-as-you-go Hadoop clusters in providers’ data centers for batch processing with hosted MapReduce processing allows enterprise IT departments to avoid capital expenses for on-premises servers that are used sporadically. As a result, Hadoop has become de rigueur for deep-pocketed PaaS providers -- Amazon, Google, IBM and Microsoft -- to package Hadoop, MapReduce or both as prebuilt services.
AWS Elastic MapReduceAmazon Web Services (AWS) was first out of the gate with Elastic MapReduce (EMR) in April 2009. EMR handles Hadoop cluster provisioning, runs and terminates jobs and transfers data between Amazon EC2 and Amazon S3 (Simple Storage Service). EMR besides offers Apache Hive, which is built on Hadoop for data warehousing services.
EMR is failing tolerant for slave failures; Amazon recommends running only the job Instance Group on spot instances to bewitch advantage of the lower cost while noiseless maintaining availability. However, AWS didn’t add uphold for spot instances until August 2011.
Amazon applies surcharges of $0.015 per hour to $0.50 per hour for EMR to its rates for little to Cluster Compute Eight Extra big EC2 instances. According to AWS: Once you start a job flow, Amazon Elastic MapReduce handles Amazon EC2 instance provisioning, security settings, Hadoop configuration and set-up, log collection, health monitoring and other hardware-related complexities, such as automatically removing faulty instances from your running job flow. AWS recently announced free CloudWatch metrics for EMR instances (Figure 1).
Google AppEngine-MapReduce According to Google developer Mike Aizatskyi, totality Google teams utilize MapReduce, which it first introduced in 2004. Google released an AppEngine-MapReduce API as an “early experimental release of the MapReduce API” to uphold running Hadoop 0.20 programs on Google App Engine. The team later released low-level files API v1.4.3 in March 2011 to provide a file-like system for intermediate results for storage in Blobs and improved open-source User-Space Shuffler functionality (Figure 2).
The Google AppEngine-MapReduce API orchestrates the Map, Shuffle and Reduce operations via a Google Pipeline API. The company decribed AppEngine-MapReduce’s current status in a video presentation for I/O 2012. However, Google hadn’t changed the “early experimental release” description as of Spring 2012. AppEngine-MapReduce is targeted at Java and Python coders, rather than mammoth data scientists and analytics specialists. Shuffler is limited to approximately 100 MB data sets, which doesn’t qualify as mammoth data. You can request access to Google’s BigShuffler for larger data sets.
Heroku Treasure Data Hadoop add-onHeroku’s Treasure Data Hadoop add-on enables DevOps workers to utilize Hadoop and Hive to anatomize hosted application logs and events, which is one of the primary functions for the technology. Other Heroku mammoth data add-ons comprehend Cloudant’s implementation of Apache CouchBase, MongoDB from MongoLab and MongoHQ, Redis To Go, Neo4j (public beta of a graph database for Java) and RESTful Metrics. AppHarbor, called by some “Heroku for .NET,” offers a similar add-on lineup with Cloudant, MongoLab, MongoHQ and Redis To Go, plus RavenHQ NoSQL database add-ins. Neither Heroku nor AppHarbor host general-purpose Hadoop implementations.
IBM Apache Hadoop in SmartCloudIBM began offering Hadoop-based data analytics in the figure of InfoSphere BigInsights Basic on IBM SmartCloud Enterprise in October 2011. BigInsights Basic, which can manage up to 10 TB of data, is besides available as a free download for Linux systems; BigInsights Enterprise is a fee-based download. Both downloadable versions proffer Apache Hadoop, HDFS and the MapReduce framework, as well as a complete set of Hadoop subprojects. The downloadable Enterprise edition includes an Eclipse-based plug-in for writing text-based analytics, spreadsheet-like data discovery and exploration tools as well as JDBC connectivity to Netezza and DB2. Both editions provide integrated installation and administration tools (Figure 3).
My Test-Driving IBM’s SmartCloud Enterprise Infrastructure as a Service: Part 1 and Part 2 tutorials portray the administrative features of a free SmartCloud Enterprise trial version offered in Spring 2011. It’s not pellucid from IBM’s technical publications what features from downloadable BigInsight versions are available in the public cloud. Their Cloud Computing: Community resources for IT professionals page lists only one BigInsights Basic 1.1: Hadoop Master and Data Nodes software image; an IBM representative confirmed the SmartCloud version doesn’t comprehend MapReduce or other Hadoop subprojects. Available Hadoop tutorials for SmartCloud interpret how to provision and test a three-node cluster on SmartCloud Enterprise. It appears IBM is missing elements captious for data analytics in its current BigInsights cloud version.Microsoft Apache Hadoop on Windows AzureMicrosoft hired Hortonworks, a Yahoo! spinoff that specializes in Hadoop consulting, to uphold implement Apache Hadoop on Windows Azure, or Hadoop on Azure (HoA). HoA has been in an invitation-only community technical preview (CTP or private beta) stage since December 14, 2011.
Before joining the Hadoop bandwagon, Microsoft relied on Dryad, a graph database developed by Microsoft Research, and a High-Performance Computing add-in (LINQ to HPC) to ply mammoth data analytics. The Hadoop on Azure CTP offers a preference of predefined Hadoop clusters ranging from little (four computing nodes with 4 TB of storage) to Extra big (32 nodes with 16 TB), simplifing MapReduce operations. There’s no freight to associate the CTP for prerelease compute nodes or storage.
HoA is due for an upgrade in the “Spring Wave” of unique and improved features scheduled for Windows Azure in mid-2012. The upgrade will enable the HoA team to admit more testers to the CTP and probably comprehend a promised Apache Hadoop on Windows Server 2008 R2 for on-premises or private cloud and hybrid cloud implementations. Microsoft has aggressively reduced charges for Windows Azure compute instances and storage during late 2011 and early 2012; pricing for Hadoop on Azure’s release version probably will be competitive with Amazon Elastic MapReduce.
Big data will import more than Hadoop and MapReduceI agree with Forrester Research analyst James Kobielus, who blogged, “Within the mammoth data cosmos, Hadoop/MapReduce will be a key progress framework, but not the only one.” Microsoft besides offers its Codename “Cloud Numerics” CTP for the .NET Framework, which allows DevOps teams to discharge numerically intensive computations on big distributed data sets in Windows Azure.
Microsoft Research has posted source code for implementing outdo cloud data analysis in Windows Azure with its Project “Daytona” iterative MapReduce implementation. However, it appears open source Apache Hadoop and related subprojects will dominate cloud-hosted scenarios for the foreseeable future.
PaaS providers who proffer the most automated Hadoop, MapReduce and Hive implementations will gain the greatest following of mammoth data scientists and data analytics practitioners. Microsoft provisioning the outdo front End for trade intelligence (BI) applications gives the company’s mammoth data offerings a head start among the growing number of self-service BI users. Amazon and Microsoft currently provide the most complete and automated cloud-based Hadoop mammoth data analytics services.
Roger Jennings is a data-oriented .NET developer and writer, a Windows Azure MVP, principal consultant of OakLeaf Systems and curator of the OakLeaf Systems blog. He's besides the author of 30+ books on the Windows Azure Platform, Microsoft operating systems (Windows NT and 2000 Server), databases (SQL Azure, SQL Server and Access), .NET data access, Web services and InfoPath 2003. His books Have more than 1.25 million English copies in print and Have been translated into 20+ languages.
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