- December 09, 2015
If Hadoop and Spark are to sneak into the enterprise, they will need to be manageable. With Driven, Concurrent Inc. takes a stab at the problem.
- December 02, 2015
Business analysts and data scientists no longer restrict themselves to internally produced data that comes from IT-managed production systems. For their analysis they use all the data they can lay ...
- November 16, 2015
IBM's planned purchase of The Weather Co.'s data operations may be a bellwether event from which data professionals can learn.
- October 30, 2015
At its Insight 2015 conference, IBM featured Apache Spark, releasing a cloud-based Spark service to support analytics applications and detailing Spark use in some of its own tools.
- October 27, 2015
Dell and others have a new ETL reference architecture. Its purpose is to ease migrations to Cloudera Hadoop. Also: Dell buys EMC; Syncsort is acquired.
Sponsored by Intel - IT leaders are preparing their organisations for increasing use of artificial intelligence (AI) to extract the insights they need from growing amounts of data. To help them, Intel is enabling businesses to future-proof their IT architecture by building AI accelerators into its second-generation Xeon® scalable processors. See More
Sponsored by Intel - Intel® Optane™ technology is the first memory and storage breakthrough in 25 years. Based on Intel® 3D XPoint™ memory media, it offers a new generation of solid-state devices (SSDs) and memory modules built from the ground up. See More
Sponsored by Intel - Remember what it felt like when you got your first solid state drive (SSD)? Back in 2008, laptops with a hard disk drive (HDD) felt unresponsive – they lagged and nearly ground to a halt when the virus scanner started accessing the HDD. Then Intel launched the X-25M SSD and laptops felt much more responsive. Gone was the lag. Nobody noticed when the virus scanner ran. See More
Sponsored by Intel - Businesses are excited about artificial intelligence (AI) and the benefits it offers, but like so many new technologies, that potential can be wasted if you don’t know where to begin the journey to production-ready AI. See More
- October 19, 2015
We may have outlived the era of killer apps in some part defined by Walmart, but Hadoop big data applications may help the giant's quest for more growth.
- October 13, 2015
MapR takes JSON format data into Hadoop, while Teradata places its flagship database on AWS.
- October 12, 2015
Not so long ago I attended a session in which the speaker was very clear on what big data is and what it is not. In his opinion, big data is unstructured data and unstructured data is big data. ...
- October 07, 2015
Tracking 'What is Hadoop?' is getting more complex as the potential components of Hadoop systems increase -- and core elements such as HDFS are augmented by possible alternatives.
- October 05, 2015
The third big data myth in this series deals with how big data is defined by some. Some state that big data is data that is too big for a relational database, and with that, they undoubtedly mean a ...
- September 30, 2015
The latest version of MongoDB finds the NoSQL database running on a new WiredTiger storage engine. Better performance and data compression are among MongoDB 3.0's touted benefits.
- September 30, 2015
The DataStax Cassandra engine, officially called DataStax Enterprise, is now Spark-certified. The move is one of several for the NoSQL database on a possible upswing, further evidenced by a new deal with Microsoft.
- September 28, 2015
Self-service analytics allows users to design and develop their own reports and do their own data analysis with minimal support by IT. Most recently, due to the availability of tools, such as those ...
- September 22, 2015
At a TDWI Boston Chapter meeting, Mark Madsen says some notions of information become outdated in the face of big data analytics. This is part one of two.
- September 22, 2015
Operations and big data analytics applications are beginning to blend, causing changes in data strategies, Mark Madsen tells a TDWI Boston Chapter meeting. This is part two of two.