Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• Inside the Microsoft Azure HDInsight cloud infrastructure

  Azure HDInsight is a cloud implementation of Apache Hadoop that provides a software framework designed for processing, analyzing and reporting on big data. Continue Reading

• Data virtualization ushers in unified view of data

  A member-owned supply chain management company melded siloed data sets to gain a unified view of diverse data feeds. Continue Reading

• How to evaluate the features of data integration products

  Before you evaluate and select a data integration product, assess which must-have, should-have and nice-to-have features match your organization's specific needs. Continue Reading

• A buyer's guide to selecting the best data warehouse product

  With several deployment options and product choices, it's difficult to know where to start. This buyer's guide helps you choose the right data warehouse product for your company. Continue Reading

• Apache Spark architecture declares independence in some big data apps

  It comes as no great surprise that the Apache Spark architecture has been horning in on the batch processing domain once controlled by Hadoop's MapReduce. But that's only part of the story. With data processing, streaming and machine learning ... Continue Reading

• IBM's dashDB forges data warehouse in the cloud

  Amazon's Redshift led the way in cloud data warehouses. Now IBM hopes to catch up on the wings of dashDB.Continue Reading

• Strata + Hadoop World 2016: Hadoop and Spark in spotlight

  The Strata + Hadoop World conference focuses on big data management and analytics technologies, in particular the Hadoop distributed processing framework and Spark processing engine.Continue Reading

• Big data platforms pose structural issues for new users

  Big data systems require the same kind of data partitioning and setup steps as conventional ones do. But first, users have to learn how to make that process work in Hadoop and Spark.Continue Reading

• Five factors to help select the right data warehouse product

  How big is your company, and what resources does it have? What are your performance needs? Answering these questions and others can help you select the right data warehouse platform.Continue Reading

• Q&A: Dinsmore sees open source Apache Spark moving to new stage

  Analytics vet Thomas Dinsmore says Apache Spark is entering a new phase of adoption, one in which hype gives way to clearer assessment. He also discusses the ascent of the R programming language for analytics.Continue Reading

• Pivotal Greenplum streamlines big data query optimization

  The Pivotal Greenplum open source shared-nothing data warehouse delivers high query performance and throughput, and provides rapid analytics on big data.Continue Reading

• A look at the upcoming Microsoft Azure SQL Data Warehouse

  The Microsoft Azure SQL Data Warehouse lets you scale compute and storage independently based on your performance needs, so you pay for query performance only when you need it.Continue Reading

• A look inside the SAP IQ column-oriented database

  The SAP IQ column-oriented database is designed for large data warehouses that require high scalability, rapid data loading and optimal query performance.Continue Reading

• Examining the Teradata Data Warehouse

  With both relational and columnar options, the Teradata Active Enterprise Data Warehouse gives companies an efficient, scalable appliance they can deploy in-house or in the cloud.Continue Reading

• How to justify the purchase of a data integration tool

  To help you better determine your needs and justify the purchase of a data integration tool, we explore how other organizations are using these platforms to meet their needs.Continue Reading