Enterprises benefit from extending their data warehouse architectures to handle big data workloads, Teradata says.

Too many organizations simply take their existing data warehouse environments and migrate them to Hadoop without taking the time to re-architect the implementation to properly take advantage of new ...

Microsoft is responding to the "Big Data" movement by adding support for the open-source Hadoop framework for large-scale data processing to its SQL Server database and Parallel Data Warehouse ...

WANdisco PLC and Snowflake Inc. today said that they’re joining forces to help enterprises move information from their on-premises Hadoop clusters into Snowflake’s cloud data warehouse ...

The Hadoop dream of unifying data and compute in a distributed manner has all but failed in a smoking heap of cost and complexity, according to technology experts and executives who spoke to Datanami.

Cloud-native Snowflake seeks to overcome the challenges of previous generations of data warehouse technology and embrace big data. How is its approach unique?

A few weeks ago, two giants of the big data Hadoop era, Cloudera and Hortonworks, announced they would be merging. The announcement claimed it would be a “merger of equals.” It is fascinating ...

The Hadoop community should not underestimate how much enterprise adoption is depending on increasing Hive maturity. Hive can open up Hadoop systems to traditional data analysts and traditional ...

Spark is an engine for analyzing data stored across a cluster of computers. Like Hadoop, Spark can be used to examine data sets that are too large to fit into a traditional data warehouse or a ...

Solix integrates data from disparate healthcare software platforms into its Hadoop-based Common Data Platform application framework. The data, which crosses medical specialty boundaries, then ...

Extending data warehouse and other database tools to incorporate the relatively new Hadoop technologies is becoming an increasingly common strategy to introduce Hadoop to the enterprise.