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What's the Big Deal about Big SQL?

Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, ibm big sql, sql, database management, database management technology, software, tables
    
IBM

Supercharge Salesforce.com initiatives with a 360 degree view of the customer

Published By: IBM     Published Date: Jul 13, 2015
This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources.
Tags : 
crm cloud solution, salesforce, user productivity, data enrichment, security, data quality, customer data search, customer relationship management
    
IBM

InfoSphere BigInsights for Hadoop: Efficiently manage and mine big data for valuable insights

Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql, network management, network performance
    
IBM

Big Data Beyond the Hype: A Guide to Conversations for Today’s Data Center

Published By: IBM     Published Date: Jul 07, 2015
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability, data management
    
IBM

Integrating and governing Big Data: Does Big data spell big trouble for integration

Published By: IBM     Published Date: Jul 08, 2015
While the term 'big data' has only recently come into vogue, IBM has designed solutions capable of handling very large quantities of data for decades. IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
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IBM

IBM BigInsights for Apache Hadoop: Efficiently manage and mine big data for valuable insights

Published By: IBM     Published Date: Oct 26, 2015
Read how IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights.
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ibm, ibm infosphere biginsights, data, big data, hadoop, storage virtualization, business analytics, business integration
    
IBM

Data warehouse modernization: the queryable data store

Published By: IBM     Published Date: Nov 13, 2014
This paper focuses on the benefits of a queryable data store and big data technologies available to support data warehouse modernization. Read the paper to understand how data can be stored and optimized with Hadoop.
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ibm, ibm infosphere, big data, hadoop, big sql, data warehousing, storage management, analytical applications
    
IBM

Integrating and Governing Big Data

Published By: IBM     Published Date: May 02, 2014
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility
    
IBM

The Fundamentals of Data Lifecycle Management in the Era of Big Data

Published By: IBM     Published Date: May 02, 2014
This eBookoutlines the best practices for data lifecycle management and how InfoSphere Optimsolutions enable organizations to support and implement them.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility
    
IBM

Forrester Total Economic Impact of Optim Solutions

Published By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
Tags : 
ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere
    
IBM

Supercharge Salesforce.com initiatives with a 360 degree view of the customer

Published By: IBM     Published Date: Jul 08, 2015
Salesforce.com is an industry leading cloud CRM solution which helps organizations streamline and effectively manage sales processes, customers and opportunities. The effectiveness of these initiatives can be improved dramatically by providing Salesforce with a 3600 view of the Customer to overcome the limitation of fragmented data that Salesforce currently relies on. This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources. This data is integrated seamlessly within Salesforce.com to help your sales teams get a complete view of the customer to help find the right contacts, allocate resources efficiently and identify new opportunities. This helps your sales teams be more efficient, effective and ultimately improve your win rate and drive more revenue.
Tags : 
ibm, salesforce, crm solutions, sales processes, infosphere, sales opportunities, knowledge management, enterprise applications
    
IBM

IBM InfoSphere Big Match for Hadoop

Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
Tags : 
hadoop, infosphere, data, customer insights
    
Group M_IBM Q1'18
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