SAS and Pivotal (Formerly EMC Greenplum)

Total Page:16

File Type:pdf, Size:1020Kb

SAS and Pivotal (Formerly EMC Greenplum) SAS and Pivotal (formerly EMC Greenplum) Big Data Analytics Faster on The SAS and Pivotal Partnership Flexible, Scalable Analytics Platform SAS and Pivotal are strategically part- Analytics is one of the most compel- nered so you can build deep insights ling competitive differentiators today. rapidly, create competitive advantage As data volumes grow in size, variety and become truly data-driven. Our Top Challenges and speed, deriving insights from partnership combines engineering data becomes complex. To address know-how to offer flexible architectures • Analytic complexity is growing exponentially due to increases in data this complexity, you must ensure that that meet growing data demands with volume, variety and velocity, which your technology infrastructure can a combination of SAS® Analytics, a slows data movement and analytical keep pace with the need for business Pivotal massively parallel database and computations. insights and ensure flexibility and scal- a variety of hardware options. • Disjointed analytic and IT ability as data grows. infrastructures hamper analytics- The solution uses HAWQ – a powerful supported decision making. Organizations must step out of data query engine with the parallel database • The need to improve agility and and analytics environments that were technology of Pivotal Analytic Database speed in analytical development and designed long before the era of big – to analyze massive amounts of data in deployment processes. data, to a more scalable, flexible Hadoop with standard SQL for leading- environment where data from different edge scalability and performance. silos can be brought together as needed to make the best use of new SAS and Pivotal offer several paths to architectures for data storage and analytic modernization depending on management to analyze virtually the organization’s needs and analytic unlimited amounts of data. maturity. SAS and Pivotal help organizations SAS/ACCESS® Interface to Pivotal is a modernize their analytics environment solution that provides direct connec- by using a technology platform that is tivity between SAS and Pivotal Ana- both flexible and scalable. SAS and lytic Database, going beyond ODBC’s Pivotal solutions take advantage of new standard interfacing capabilities. Pivotal architectures such as Apache Hadoop Data Computing Appliance manages, and inexpensive hardware options to stores and facilitates the analysis of lower the total cost of ownership. petabytes of data. Users can take advantage of Pivotal’s “shared-nothing” massively parallel processing archi- tecture, high-performance parallel data-flow engine, and advanced gNet interconnect technology. Benefits Instead of using only a subset of the Benefits • Integrate data stored in Pivotal with data in traditional architectures – ob- • Quickly and confidently seize new data from other sources. scuring critical insights – the integrated opportunities, detect unknown risks solutions from SAS and Pivotal provide • Access data directly, easily and and make the right choices. the data scale and compute capacity securely with native interfaces. • Use all data (including unstructured) needed to analyze the largest possible with advanced modeling techniques • Gain faster performance and reduce data sets and identify the relevant and and perform more model iterations network traffic. related variables in all of your data. This to get answers to your difficult ques- • Minimize data movement. approach – analyzing all the data all the tions. • Support both technical and business time – enables you to discover unex- • Derive insights at breakthrough users. pected and valuable patterns hidden deeply in complex, multisource data. speeds for high-value and time- ® SAS Scoring Accelerator for Pivotal sensitive decision making. combines the statistical transforma- Delivering consistent analytics to the • Take advantage of Pivotal’s highly tion and modeling methods available organization demands increased avail- scalable and reliable analytics infra- in SAS® Enterprise Miner™ with the ability of analytics systems. structure to test more ideas and mul- scalability and in-database processing tiple scenarios with all your data. speed of the Pivotal Analytic Database Integrating SAS and Pivotal software to dramatically accelerate the model- and appliance products brings enter- SAS® Visual Analytics on Pivotal deployment process. prise-level redundancy and reliability. SAS Visual Analytics on Pivotal helps Protecting the analytics infrastructure Benefits you explore all relevant data quickly through redundancy and disaster- and easily no matter the size of the • Achieve higher model-scoring perfor- recovery technologies from Pivotal helps organization – or the data. Now you can mance and faster time to results. ensure that the flow of analytics to the look at more options, uncover hidden • Enhance the productivity of your data business continues around the clock. mining and IT groups. opportunities, identify key relationships and make more precise decisions to • Reduce data movement and latency, ® drive success faster than ever. Self- and streamline analytic deployment. SAS High-Performance Analytics on Pivotal service, ad hoc visual data discovery • Better manage, provision and govern and exploration put lightning-fast data. While data continues to grow, decision insights within everyone’s reach. makers need answers faster than ever. • Make better use of IT resources and SAS High-Performance Analytics on reduce costs. Benefits Pivotal is an in-memory solution that • Explore all relevant data quickly and allows you to develop analytical models All the Data, All the Time easily and share meaningful insights using complete data, not just a subset using the Pivotal Data Computing Good business decisions demand or aggregate. You can develop models Appliance or Pivotal Analytic deep analyses of all available data. that use thousands of variables and Database. Your transactional systems capture millions of documents to produce more interactions with customers, generat- accurate and timely insights. • Whether you’re a business user with ing rich data sets that are stored in the limited technical skills, a statistician or warehouse as large database tables. With models that can run in minutes a data scientist, powerful analytics are Burgeoning external sources – web- or seconds, you can perform more at your fingertips. sites, industry information services, frequent modeling iterations and use social media, etc. – provide additional sophisticated analytics to get answers valuable sources of information about to questions you never thought of or customer behavior, public sentiment had time to ask. and market behaviors. ® SAS on Pivotal Hadoop Key Customer Benefits SAS on Pivotal HD addresses the Business users: complexity and implementation costs • Find answers quickly to take advantage of fleeting opportunities. of Hadoop by enhancing it with the • Remove latencies and inefficiencies to accelerate the analytic process. expressive power of SQL. The combi- nation accelerates deployment, data • Focus on exploring and solving the business issues – not connectivity and data exploration, model development and consistency issues. application development, while increas- • Analyze more data and build more detailed models to raise insights and increase ing overall information availability. predictive accuracy. • Leverage vast compute performance to permit detailed data exploration and Benefits faster model execution. • Reduce cost with a price per terabyte • Increase analytics’ contribution to the business while consolidating the analytical that is 20 times less when compared infrastructure. to an enterprise data warehousing • Experiment with multiple models to find the best fit. solution. • Performs better in situations where IT users: databases have a limit on the number • Reduce data movement and analytical computation latency for improved perfor- of variables. mance. • Takes advantage of the tremendous • Decrease IT project backlog by simplifying systems administration and systems open-source innovation of Hadoop. provisioning. About Pivotal • Reduce system bottlenecks to free IT from constant performance tuning and resulting tradeoffs. Pivotal is building a new platform for • Decrease labor costs by avoiding manual scoring; reduce the revalidation of a new era, setting the standard for code for scoring purposes. enterprise platform-as-a-service (PaaS). The company’s mission is to enable • Improve scalability and performance to respond to questions or issues in a customers to build a new class of ap- timely manner. plications, leveraging big and fast data, • Take advantage of new architectures like Hadoop and use commodity hardware doing all of this with the power of cloud to lower total cost of ownership. independence. • Protect the shared computing infrastructure with industry-leading redundancy and disaster preparedness. Uniting selected technology, people and programs from EMC and VMware, the following products and services are About SAS now part of Pivotal: Greenplum®, Cloud SAS is the leader in business analytics Foundry, Spring, Cetas, Pivotal Labs®, software and services, and the largest GemFire® and other products from the independent vendor in the business VMware vFabricTM Suite. intelligence market. Through innova- tive solutions, SAS helps customers at For more information, visit more than 60,000 sites improve per- www.gopivotal.com formance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®. SAS Institute Inc. World Headquarters +1 919 677 8000 To contact your local SAS office, please visit: sas.com/offices SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2013, SAS Institute Inc. All rights reserved. 105788_S108640.0513 .
Recommended publications
  • Greenplum Database Performance on Vmware Vsphere 5.5
    Greenplum Database Performance on VMware vSphere 5.5 Performance Study TECHNICAL WHITEPAPER Greenplum Database Performance on VMware vSphere 5.5 Table of Contents Introduction................................................................................................................................................................................................................... 3 Experimental Configuration and Methodology ............................................................................................................................................ 3 Test Bed Configuration ..................................................................................................................................................................................... 3 Test and Measurement Tools ......................................................................................................................................................................... 5 Test Cases and Test Method ......................................................................................................................................................................... 6 Experimental Results ................................................................................................................................................................................................ 7 Performance Comparison: Physical to Virtual ......................................................................................................................................
    [Show full text]
  • Data Warehouse Fundamentals for Storage Professionals – What You Need to Know EMC Proven Professional Knowledge Sharing 2011
    Data Warehouse Fundamentals for Storage Professionals – What You Need To Know EMC Proven Professional Knowledge Sharing 2011 Bruce Yellin Advisory Technology Consultant EMC Corporation [email protected] Table of Contents Introduction ................................................................................................................................ 3 Data Warehouse Background .................................................................................................... 4 What Is a Data Warehouse? ................................................................................................... 4 Data Mart Defined .................................................................................................................. 8 Schemas and Data Models ..................................................................................................... 9 Data Warehouse Design – Top Down or Bottom Up? ............................................................10 Extract, Transformation and Loading (ETL) ...........................................................................11 Why You Build a Data Warehouse: Business Intelligence .....................................................13 Technology to the Rescue?.......................................................................................................19 RASP - Reliability, Availability, Scalability and Performance ..................................................20 Data Warehouse Backups .....................................................................................................26
    [Show full text]
  • EMC Secure Remote Services 3.18 Site Planning Guide
    EMC® Secure Remote Services Release 3.26 Site Planning Guide REV 01 Copyright © 2018 EMC Corporation. All rights reserved. Published in the USA. Published January 2018 EMC believes the information in this publication is accurate as of its publication date. The information is subject to change without notice. The information in this publication is provided as is. EMC Corporation makes no representations or warranties of any kind with respect to the information in this publication, and specifically disclaims implied warranties of merchantability or fitness for a particular purpose. Use, copying, and distribution of any EMC software described in this publication requires an applicable software license. EMC2, EMC, and the EMC logo are registered trademarks or trademarks of EMC Corporation in the United States and other countries. All other trademarks used herein are the property of their respective owners. For the most up-to-date regulatory document for your product line, go to Dell EMC Online Support (https://support.emc.com). 2 EMC Secure Remote Services Site Planning Guide CONTENTS Preface Chapter 1 Overview ESRS architecture........................................................................................ 10 ESRS installation options ...................................................................... 10 Other components ................................................................................ 11 Requirements for ESRS customers......................................................... 11 Supported devices.....................................................................................
    [Show full text]
  • Dell EMC IT Big Data Analytics Journey
    Dell EMC IT Big Data Analytics Journey Nagesh Madhwal Client Solutions Director, Consulting, Southeast Asia, Dell EMC Agenda 1 Dell EMC IT Big Data Journey 2 Building the Data Lake 3 Marketing Science Lab Use Case 4 Technical Benefits 5 Lessons Learned 6 Q&A 3 Dell - Internal Use - Confidential Dell EMC IT Big Data Journey A Journey Of Maturity 1 AGGREGATE 2 LIBERATE 3 INNOVATE/ITERATE HARNESS Consolidation BA-as-a-Service Flexible / Scalable Analytics -based decision making Master Data Data Scientist Services Mission Critical Leveraging data to predict future models Common BI Tools Collaborative Analytic Tools Real Time Capable Transforming operations by BI Governance Unified Analytical Platform Collaborative Delivery applying analytics FOUNDATION ANALYTICS ENABLEMENT DATA LAKE ANALYTICS ENTERPRISE 2010 2011 2012 2013 2014 2015 2016 4 Dell - Internal Use - Confidential Building The Data Lake PROCESS MONITOR THE MEASURE BUSINESS IMPROVE THE EXECUTION BUSINESS PERFORMANCE BUSINESS APPS ERP INNOVATE CRM ITERATE REFINE Master Data Workspace Analytics Machine BU App Data EMBED INTO BUSINESS APPS “MAKE THEM SMARTER” GOVERNANCE 5 Dell - Internal Use - Confidential Powered by Intel® Xeon® Processors Dell EMC IT Data Lake Architecture ANALYTICS TOOLBOX APPLICATIONS DATA GOVERNANCE APPLICATIONS COLLIBRA BATCH - DATA PLATFORM MICRO EXECUTION CASSANDRA POSTGRESQL MEMORY DB GEMFIRE PROCESS SPRING XD PIVOTAL HD GREENPLUM DB ATTIVIO BATCH APACHE APACHE RANGER INGESTION Social Media Sensor Network Web Supplier Market ERP CRM PLM UNSTRUCTURED STRUCTURED
    [Show full text]
  • Wherescape RED for Pivotal Greenplum
    WhereScape RED for Pivotal Greenplum Wherescape red for pivotal greenplum WhereScape RED is an agile data warehouse development and management solution that automates much of the data warehouse life cycle—from initial scoping, prototyping, loading and populating to ongoing management and optimization. In addition, WhereScape RED automates the creation and management of documentation, diagrams and lineage information. “Our results using Optimized for Greenplum WhereScape have been extremely impressive. WhereScape RED for Pivotal Greenplum is optimized to fully leverage the Greenplum Database. WhereScape RED accelerates time to value for your WhereScape enabled Greenplum investment by requiring fewer resources to model, build and us to design, develop, deploy your data warehouse. Eliminating hand coding and automating document and deploy Greenplum development creates a simplified infrastructure a production-ready and dramatically reduces total cost of ownership. solution in 8 weeks. WhereScape RED “knows” all Greenplum objects—including views, Using traditional data distribution keys and append-only tables, and utilizes Greenplum’s warehouse development rich feature set to build native Greenplum objects, document them methods would have and schedule data to be loaded. Utilizing the RED user interface, users taken us 6-8 months.” can simply drag and drop to develop Greenplum objects—build tables, generate Greenplum SQL code to populate the tables, and create HTML documentation. RED’s open metadata architecture is stored in database Ryan Fenner, VP, Data tables for easy access and integrates with external testing and source Solutions Architect, control tools. Union Bank WhereScape RED works seamlessly as an ELT (extract, load and transformation) using the Greenplum GPLOAD bulk load utility, the fast method for loading data into Greenplum.
    [Show full text]
  • Pivotal Greenplum Command Center Documentation | Pivotal GPCC Docs
    Table of Contents Table of Contents 1 Pivotal Greenplum Command Center Documentation 2 About Pivotal Greenplum Command Center 3 Installing the Greenplum Command Center Software 6 Downloading and Running the Greenplum Command Center Installer 7 Setting the Greenplum Command Center Environment 9 Creating the gpperfmon Database 10 Upgrading Greenplum Command Center 12 Uninstalling Greenplum Command Center 14 Creating Greenplum Command Center Console Instances 15 Greenplum Command Center User Guide 18 Connecting to the Greenplum Command Center Console 19 Dashboard 20 Query Monitor 23 Host Metrics 25 Cluster Metrics 27 Monitoring Multiple Greenplum Database Clusters 29 History 30 System 33 Segment Status 34 Storage Status 37 Admin 38 Permission Levels for GPCC Access 39 Authentication 41 Workload Management 43 Administering Greenplum Command Center 47 About the Command Center Installation 48 Starting and Stopping Greenplum Command Center 49 Administering Command Center Agents 50 Administering the Command Center Database 51 Administering the Web Server 52 Configuring Greenplum Command Center 53 Enabling Multi-Cluster Support 54 Securing a Greenplum Command Center Console Instance 56 Configuring Authentication for the Command Center Console 58 Enabling Authentication with Kerberos 60 Securing the gpmon Database User 65 Utility Reference 67 gpcmdr 68 gpccinstall 70 Configuration File Reference 71 Command Center Agent Parameters 72 Command Center Console Parameters 74 Setup Configuration File 75 Greenplum Database Server Configuration Parameters 77 © Copyright Pivotal Software Inc, 2013-2017 1 3.3.1 Pivotal Greenplum Command Center Documentation Documentation for Pivotal Greenplum Command Center. About Greenplum Command Center Pivotal Greenplum Command Center is a management tool for the Greenplum Big Data Platform. This section introduces key concepts about Greenplum Command Center and its components.
    [Show full text]
  • In the United States District Court for the Eastern District of Texas Tyler Division
    Case 6:11-cv-00660-LED Document 1 Filed 12/08/11 Page 1 of 16 PageID #: 1 IN THE UNITED STATES DISTRICT COURT FOR THE EASTERN DISTRICT OF TEXAS TYLER DIVISION Personalweb Technologies LLC Plaintiff, v. Civil Action No. 6:11-cv-660 EMC Corporation, and JURY TRIAL REQUESTED VMware, Inc. Defendants. COMPLAINT FOR PATENT INFRINGEMENT Plaintiff PersonalWeb Technologies LLC files this Complaint for Patent Infringement against EMC Corporation and VMware Inc. (collectively, “Defendants”) and states as follows: THE PARTIES 1. Plaintiff PersonalWeb Technologies LLC (“PersonalWeb” or “Plaintiff”) is a limited liability company organized under the laws of Texas with its principal place of business at 112 E. Line Street, Suite 204, Tyler, Texas, 75702. PersonalWeb was founded in August 2010 and is in the business of developing and distributing software based on its technology assets. 2. PersonalWeb protects its proprietary business applications and operations through a portfolio of patents that it owns, including 13 issued and pending United States patents. PersonalWeb is assignee and owner of eight patents at issue in this action: U.S. Patent Nos. 5,978,791, 6,415,280, 6,928,442, 7,802,310, 7,945,539, 7,945,544, 7,949,662, and 8,001,096. 3. Defendant EMC Corporation (“EMC”) is a Massachusetts Corporation with its principal place of business at 176 South Street, Hopkinton, Massachusetts. EMC is qualified to McKool 298950v1 Case 6:11-cv-00660-LED Document 1 Filed 12/08/11 Page 2 of 16 PageID #: 2 do business in the state of Texas, Filing No. 0007347306, and has appointed CT Corporation System, 350 N Saint Paul St.
    [Show full text]
  • EMC STRATEGY Journey to Cloud -Big Data
    EMC STRATEGY Journey to Cloud -Big Data Agathi Galani Indirect District Manager Greece, Malta, Cyprus 5th December 2011 © Copyright 2011 EMC Corporation. All rights reserved. 1 EMC’s Mission To Lead Customers On Their Journey To Hybrid Cloud Computing © Copyright 2011 EMC Corporation. All rights reserved. 2 The Journey to Your Cloud: Infrastructure Private Cloud is the logical first step Enterprise IT Private Cloud Public Cloud ComplexTrusted Simple ControlledExpensive Low Cost InflexibleReliable Flexible SecureSiloed Dynamic “70% Will Spend More On Private Cloud through 2012” GARTNER DATA CENTER CONFERENCE 2009 Infrastructure © Copyright 2011 EMC Corporation. All rights reserved. 3 The Journey To The Private Cloud % Virtualized Simplicity Scalability Efficiency Continuity Standardization Protection Security Automation IT Production Business Production IT-as-a-Service Infrastructure Focus Applications Focus Business Focus © Copyright 2011 EMC Corporation. All rights reserved. 4 IT Production Virtualize non-business-critical IT-owned applications Challenges Approach • Islands of infrastructure • Consolidated infrastructure • CAPEX • Virtualized servers • Power • Tiered SANs • Disk-based backup Efficiency © Copyright 2011 EMC Corporation. All rights reserved. 5 EMC IT: IT Production Benefits Realized IT Production EMC IT Department Efficiency Benefits Realized $12M Power and Space Savings $74M Data Center Equipment Savings 170% Gain in Storage Admin Productivity 34% Increase in Energy Efficiency 60M Pounds of CO 2 Reduced Phase 1 IT -owned Apps © Copyright 2011 EMC Corporation. All rights reserved. 6 “VNXe is the easiest storage device we’ve ever used” THE CITY OF SAFFORD “Extremely well equipped, and starting at under $10,000 represents excellent value” COMPUTER RESELLER NEWS Simple. Efficient. Affordable. © Copyright 2011 EMC Corporation. All rights reserved.
    [Show full text]
  • EMC Secure Remote Support IP Solution 2.08 Site Planning Guide
    EMC® Secure Remote Support IP Solution Release 2.08 Site Planning Guide P/N 300-012-317 REV A01 EMC Corporation Corporate Headquarters: Hopkinton, MA 01748-9103 1-508-435-1000 www.EMC.com Copyright © 2005-2011 EMC Corporation. All rights reserved. Published February, 2011 EMC believes the information in this publication is accurate as of its publication date. The information is subject to change without notice. THE INFORMATION IN THIS PUBLICATION IS PROVIDED “AS IS.” EMC CORPORATION MAKES NO REPRESENTATIONS OR WARRANTIES OF ANY KIND WITH RESPECT TO THE INFORMATION IN THIS PUBLICATION, AND SPECIFICALLY DISCLAIMS IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Use, copying, and distribution of any EMC software described in this publication requires an applicable software license. For the most up-to-date regulatory document for your product line, go to the Document/Whitepaper Library on EMC Powerlink. For the most up-to-date-listing of EMC product names, see EMC Corporation Trademarks on EMC.com. All other trademarks used herein are the property of their respective owners. 2 EMC Secure Remote Support IP Solution Release 2.08 Site Planning Guide Contents Preface Chapter 1 Overview About the ESRS IP Solution............................................................. 16 What is new ................................................................................ 17 ESRS IP components ................................................................. 18 Requirements for ESRS IP customers ....................................
    [Show full text]
  • EMC DATA COMPUTING APPLIANCE Integrated Platform Driving the Future of Big Data Analytics
    EMC DATA COMPUTING APPLIANCE Integrated Platform Driving the Future of Big Data Analytics ADDRESSING THE NEW CHALLENGES OF A DATA-DRIVEN WORLD Exploding data volumes, new data types, and ever-growing competitive challenges have led to radical changes in analytical technologies and a new approach to exploiting data. Decades-old legacy architectures for data management have reached scale limitations that make them unfit for processing big data. The fast-growing data assets, broad diversity in data type and structure, and the need for complex analytics to unlock value from these data assets have overwhelmed traditional architectures. ® The EMC Data Computing Appliance (DCA) is an integrated analytics platform that accelerates analysis of Big Data assets within a single integrated appliance by using the Pivotal GreenplumTM database for analytics-optimized SQL on structured data. Delivery as a preconfigured appliance assures rapid deployment, simplified administration, and industry-leading TCO. Modular Design for Scalability and Flexibility Designed as a modular platform, DCAs can be scaled at any time by adding new modules. Adding modules provides linear scalability of storage and compute capacity for database capabilities. The structured data processing of SQL in the Pivotal Greenplum database delivers maximum flexibility and scalability for organizations that require fast analysis of diverse data sets. ESSENTIALS • Purpose-built, high-performance Performance Architecture big data analytics appliance The DCA employs a massively parallel processing (MPP) architecture for fast SQL processing, plus the fastest data loading rates in the industry—without the complexity • Includes Pivotal Greenplum for advanced SQL and predictive and constraints of proprietary hardware. DCAs are purpose-built for analytics, and analytics on big data provide scalable computation, storage, and interconnect, delivered as a pre-configured appliance.
    [Show full text]
  • Expecting EOL: a Comprehensive Guide to EOL and EOSL Best Practices and Deadlines
    Expecting EOL: A Comprehensive Guide to EOL and EOSL Best Practices and Deadlines When EOL happens, EOSL follows. But you just bought a new line of hardware. Why should you be thinking about End of Life or End of Service Life so soon after your purchase? While you don’t need to immediately plan an exit strategy for those brand-new units, you certainly want to make sure you are educated 3140 Northwoods Parkway, Suite 700 on the matter, and that you have a plan-of-action for when the Norcross, Georgia 30071 OEM does announce those dates. The last thing you want is to Phone: 1 (877) 531-7466 be surprised by an EOSL announcement and only have a limited Fax: (877) 568-2114 www.CentricsIT.com amount of time to respond with critical operational decisions. United States // Canada // United Arab Emirates Learn Your EOL Dates Legally, the manufacturer must publish the EOL date for a particular line of hardware as soon as it is determined by the company. Although the OEM is required to post the announcement, it is not required to notify you directly. It’s up to you and your IT Team to stay informed and consistently check the manufacturer websites or leverage ITAM tools. Consider this first announcement as your indicator to begin prepping for a change in maintenance support or procurement initiatives. After EOL is called, EOSL can come months, or even years, later. Once EOL is announced, you will no longer be able to buy that same hardware from the OEM. Over time your OEM warranty- with-original-purchase will expire, and your maintenance bills will increase dramatically.
    [Show full text]
  • "Business Transformation Through
    VMware on VMware Case Study Business Transformation through IT Transformation: VMware IT Tackles Big Data in the Cloud BUSINESS GROUP VMware business units across the enterprise. Big data is here to stay. Gaining actionable business insight out of all that data presents huge opportunities for companies and KEY CHALLENGES poses unique challenges for IT. VMware IT was no exception as Deliver a scalable, cost-effective it sought to quickly deliver business information to users, at way for VMware business scale, with a minimum of IT overhead. VMware’s business units units to create their own data analyses while eliminating had multiple independent data marts delivering custom reports multiple, separate database in a “hub and spoke” fashion that siloed information and instances for greater efficiency consumed resources. This model would not be sustainable as in production. VMware continued to rapidly grow. SOLUTION The Challenge Consolidate 7 Oracle data “VMware’s growth demanded that we shift from a ‘hub and spoke’ approach to a marts into one, federated data shared enterprise data model,” said David McMath, IT director and executive program mart in the cloud using sponsor for the Magellan initiative. “This was necessary to ensure users had timely Greenplum from Pivotal. access to business information at scale, but also because there was no way IT would be able to keep up as we grew.” VMware IT evaluated options for a federated data mart that would scale with user needs and meet big data requirements. They needed to be able to serve both operational and analytical needs of multiple departments worldwide. For economy, agility and because VMware is committed to the cloud, IT considered migrating its existing Oracle instances but found it would require the deployment of Oracle RAC, which meant dramatically higher cost and complexity.
    [Show full text]