IBMdatamag News Desk

IBM Data magazine

optimal-deployment-for-big-data
Industry models

Optimal Deployment for Big Data

Hadoop has evolved as a heterogeneous enterprise data warehouse for optimized modeling, deployment, and management

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cooking-up-a-hadoop-implementation
Industry models

Cooking Up a Hadoop Implementation

A recipe for deploying a Hadoop technology stack in four to six months

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the-monkey-wrench-that-can-slow-down-analytics
Big Data and Warehousing

The Monkey Wrench That Can Slow Down Analytics

Apply these tips and tricks to resolve data quality problems for efficient analysis of big data

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navigating-the-database-programming-terrain
Warehouse software

Navigating the Database Programming Terrain

8 Powerful tips for transitioning to the IBM Netezza platform

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Mainframe word cloud box package
Big Data and Warehousing

Evolving Supercomputing in the Era of Big Data

Will big data analytics propel supercomputing architectures into new frontiers?

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5-steps-for-migrating-data-to-ibm-db2-with-blu-acceleration
Big Data and Warehousing

5 Steps for Migrating Data to IBM DB2 with BLU Acceleration

Easily optimize data from an existing data warehouse for big data analytics

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three-data-categories-likely-missing-in-your-data-warehouse
Big Data and Warehousing

Three Data Categories Likely Missing in Your Data Warehouse

Both data warehouse managers and data scientists should jointly evaluate these potential sources of useful predictors

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Social Business - The Power of Big Data in Agile Engagement
Big Data and Warehousing

Social Business: The Power of Big Data in Agile Engagement

Why you should humanize everything your business says—to all stakeholders, on all social networks

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Reinventing Your Customer Models to Be Relationship-Centric
Big Data and Warehousing

Reinventing Your Customer Models to Be Relationship-Centric

Why Groupon is not a model for your customer engagements

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Hadoop Cluster Management
Big Data and Warehousing

Hadoop Cluster Management

Making your big data deployment truly enterprise-grade

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