Enterprise data sets have gotten so voluminous that they can’t fit into even the largest data warehouses anymore, many businesses find. Now, companies running these overstuffed data stores have an ...

SAN JOSE, Calif. & NEW YORK--(BUSINESS WIRE)--Infoworks, a pioneering company in automated big data management, announced today, the launch of its Dynamic Data Warehousing (DDW) platform and a ...

A recent TDWI Hadoop survey asked: “In your perception, what would be the most useful applications of Hadoop if your organization were to implement it?”3 Data warehousing (DW) and business ...

The fall of MapR caused a rush to judgement about the future of Hadoop. To understand what this means for data initiatives, the viability of Hadoop and data lakes must be separately examined. Data ...

Overview: Modern big data tools like Apache Spark and Apache Kafka enable fast processing and real-time streaming for smarter ...

MapR Technologies, Inc., provider of a leading distribution for Apache™ Hadoop®, has announced that its SQL-on-Hadoop solution earned the highest score for Hadoop/data warehouse interoperability in ...

Aster Data, a provider of data analytics and management platforms for "big data" applications, has announced the availability of a new Aster-Hadoop Data Connector, which utilizes Aster's ...

According to Gartner, nearly 70% of all data warehouses are performance and capacity constrained -- so it's no surprise that total cost of ownership is the #1 challenge most organizations face with ...

A large storage repository that holds data in their original format prior to being parsed and analyzed. The term is often associated with Hadoop, which was designed to hold huge amounts of data; for ...