The Evolving Role of the Enterprise Data Warehouse in the Era of Big Data Analytics A white paper by Dr. Ralph Kimball The enterprise data warehouse (EDW) community has entered a new realm of meeting new and growing business requirements in the era of “Big Data.” A few of the common challenges include: extreme integration, semi- and un-structured data sources, petabytes of behavioral and image data accessed ...

We are very excited to share with you that today we announced our company, Aster Data, is being acquired by Teradata, who as you all know commands the #1 position in data warehousing. Together, we will tackle the massive opportunity in the big data and big data analytics market. Upon close, Aster Data will become part of the Teradata organization and our products will become part of the Teradata family of p ...

There is a lot of buzz around Big Data and the NOSQL movement these days and rightly so. The issues with data have essentially been two-fold: find cost effective ways to store ever increasing amounts of data and information, and find ways to mine this information to extract meaningful Business Intelligence. This problem has been compounded by the emergence of web 2.0 technologies whose legion of loyal fans ...

As companies grapple with the gargantuan task of processing and analyzing "big data," certain technologies have captured the industry limelight, namely massively parallel processing (MPP) databases, such as those from Aster Data and Greenplum; data warehousing appliances, such as those from Teradata, Netezza, and Oracle; and, most recently, Hadoop, an open source distributed file system that uses the MapRed ...

What’s so big about Big Data? It’s probably bigger than you think. For some time now, the specialty data warehouse (DW) has been a technology proposition in search of a market. DW appliance pioneer Netezza Inc. -- acquired by IBM Corp. in mid-2010 -- hemorrhaged cash for the first few years of its existence. (Netezza enjoyed its first yearly profit 18 months after its IPO.) Ditto for DATAllegro Corp., which ...

In recent times a number of vendors have announced so called ‘hybrid storage models’ for analytic databases (e.g. Aster Data). A ‘hybrid storage model’ is one where an entire table or partitions within it can be stored either along rows or columns. An oft mentioned motivation for this is that different kinds of analytics require different storage models and so the user should be able to choose as needed. Be ...

EMC Corporation and Cloudera have announced the formation of an alliance so that Hadoop-based services that Cloudera offers will be integrated with EMC's Greenplum technology. This move will help businesses better manage and analyze the challenge of ever-growing big data - including log files, sensor data, emails, images, receipts, research data and so on. The integration between Cloudera's Distribution for ...

IBM is snapping up yet another business analytics player. After purchasing OpenPages last week, Big Blue is now laying down $1.7 billion in an all-cash deal to acquire Netezza. Netezza provides high-performance analytics in a data warehousing appliance that claims to handle complex analytic queries 10 to 100 times faster than traditional systems. Netezza appliances puts analytics into the hands of business ...

Earlier today Pentaho announced support for Apache Hadoop – read about it here. There are many reasons we are doing this: 1. Hadoop lacks graphical design tools – Pentaho provides plug-able design tools. 2. Hadoop is Java - Pentaho’s technologies are Java. 3. Hadoop needs embedded ETL – Pentaho Data Integration is easy to embed. 4. Pentaho’s open source model enables us to provide technology with great pric ...

Success in the Big Data era is about more than size. It's about getting insight from these huge data sets more quickly. As explored in our recent cover story, experienced practitioners are taking advantage of in-database analytics processing, breakthrough techniques such as MapReduce and innovative, new environments such as Hadoop to handle big data volumes and new data types with speed and ease. Success in ...