- June 24, 2016
DataStax Enterprise 5.0 couples a Cassandra column-family data store with a rewritten version of the open source Titan graph database. The goal is fast analytics closely tied to fast transactions.
- June 24, 2016
On the occasion of ComputerWeekly's 50th anniversary, Brian McKenna joins the Talking Data podcast crew to look back at Bletchley Park, and forward to Hadoop and AI.
- June 17, 2016
Graph technology is popping up in many places, including master data management. A major data integration player has joined the quest, as seen recently at Informatica World.
- June 09, 2016
Spark 2.0, with structured streaming and SQL 2003 support, is aborning as indicated at Databricks' Spark Summit, where R-to-Spark interfaces also popped up.
- June 03, 2016
Startup vendor Confluent is looking to place a stake in the big data ecosystem with Kafka streaming and management tools meant to reduce complexity in applications that place data in motion.
Sponsored by SAS Institute Inc. - With streaming analytics you can solve business problems in new ways and seize new revenue opportunities. You can reduce costs and increase efficiency while improving the safety of employees and the security of assets and intellectual property. See More
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Sponsored by SAS Institute Inc. - You’re getting started with a big data analytics project on Hadoop and are impressed by the cost savings on storage compared with your data warehouse. You’ve read that TrueCar, a company that collects vast volumes of car price data for its online car-buying business, has cut its monthly data storage cost from $19/GB to $0.23/GB. So you’re wondering, should you consider moving all your business intelligence efforts to Hadoop? See More
Sponsored by SAS Institute Inc. - You want to get started with a big data project at your company, but you're unfamiliar with Hadoop and you're unsure your project will deliver value. Relax. Many organizations are struggling to implement Hadoop for a variety of reasons. In "The Current State of Hadoop in the Enterprise," by the International Institute for Analytics and sponsored by SAS, you'll find a handy list of five steps to maximize the value of a Hadoop big data project for your organization. See More
- June 01, 2016
Data wrapping -- in this case, bundling data and analytics services with products -- may entice more companies to become data businesses. A panel at an MIT symposium considered some best practices for doing so.
- May 19, 2016
New cloud apps seem ready-made for NoSQL. This may cause Oracle to put more focus on its Oracle NoSQL database, which is often overlooked amid a crush of NoSQL contenders.
- May 16, 2016
In an interview, consultant Lakshmi Randall foresees changes in how data management is organized and executed as the overall data landscape shifts due to the adoption of big data systems.
- April 29, 2016
Surging big data is changing data modeling techniques, including schema creation. The word from Enterprise Data World 2016: Data pros must adjust.
- April 29, 2016
Open source data engineering has become a way of life at e-commerce leader eBay, says the company's Debashis Saha. Kylin is one of the tools that has resulted.
- April 22, 2016
A new view on hybrid data architectures, in which data lakes and warehouses coexist, emerged at EDW 2016. The hybrid approach has implications for data design, skills and planning.
- April 19, 2016
Running a Hadoop cluster in the data center isn't for the weak. But several new tools aim to give IT operations teams a closer look into what's going on inside Hadoop-based big data systems.
- April 13, 2016
Pivotal Software dropped out of the Hadoop distribution business in favor of reselling the Hortonworks version of the big data framework -- and the market consolidation moves may not be over.
- April 01, 2016
Moving streams of data is a must in many modern applications. As a result, streaming analytics systems with Spark Streaming, Kafka and other components are coming to the big data forefront.
- March 31, 2016
Loop AI Labs' Bart Peintner discusses the transformational impact of deep learning technology, artificial intelligence, and how these tech trends will reshape industries.