Big Data is clearly a disruptive technology, but using it successfully is as much art as it is science. The key is integrating Big Data with traditional BI to create a data ecosystem that allows you to generate new insights while executing on what you already know. CIO — Large enterprises, especially financial services firms, are adopting Big Data at a more rapid pace than expected, according to a recently ...

BI Developers need to access, transform & load data sets. For performing these activities over Big Data sets, in a Hadoop environment, Hive and Pig are extremely handy skills to have. In this one (1) day course , we will learn in-depth about Hive and Pig’s architecture & design and development framework including installation steps and performance tuning of Map Reduce Programs covering SessionLog Da ...

Forrester published its first-ever Wave report for the emerging Hadoop market late last week and the results were surprising, both in terms of the "leaders wave" assessment and the absence of big vendors, including Microsoft, Oracle, and Teradata. The first surprise in "The Forrester Wave: Enterprise Hadoop Solutions, Q1 2012" report is that it includes such a wide variety of vendors. In the "leaders" wave ...

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 ...