Big Data Meets the Enterprise Data Warehouse

Big Data Meets the Enterprise Data Warehouse: A Title Match? flip.it/HVEY0 #bigdata #edw #analytics #cio #datawarehouse
— Sachin Sinha (@SachinSinha) March 7, 2013

ODBC_CONNECT Fatal Error in PHP on Apache running on RHEL

Sometimes you might encounter a fatal error on your attempt to connect to Netezza database from your PHP application. Here are the things to check

1. Check if a driver manager like unixODBC is installed
2. Check if the odbc.ini and odbcinst.ini files are placed in their right location
3. Check if a user or system DSN has been created
4. Check if you can connect to the database using isql
5. Check if the php-odbc package is installed, if not then install it by executing yum install php-odbc

Big Data: Check Under the Hood

Data is a commodity in business. To become useful information, data must be put into a specific business context. Without information, today’s businesses can’t function. Without the right information, available to the right people at the right time, an organization cannot make the right decisions nor take the right actions, nor compete effectively and prosper.

Read More: Big Data: Check Under the Hood - Information Management Blogs Article

3 Things You Need to Know about Big Data

3 Things You Need to Know about #BigData -These are not the 3 Vs but rather #dataintegrity, #dataquality, and the nuances of #analysis feedproxy.google.com/~r/tdwi-news/~…
— Sachin Sinha (@SachinSinha) March 10, 2013

Fear of lock-in dampens cloud adoption

Fear of lock-in dampens #cloud adoption flip.it/6vGdr will this hamper #Amazon rise to #bigdata prominence on the back of #redshift

— Sachin Sinha (@SachinSinha) March 6, 2013

A Framework for Understanding the Big Data Revolution

We are in the midst of big data revolution that holds significant potential in disrupting most of the industries and sectors. The 3Vs of big data have been touted many times at conferences and in journals, blogs, and periodicals. There are some early adopters and winners mostly in the Internet industry who have been successful in leveraging the big data for tangible top- and bottom-line growth. Apart from these elite few, most organizations are still in their big data infancy. There are multiple challenges that must be addressed before big data analytics goes mainstream.

The big data boom has spawned a variety of technology companies eager to help realize the dream. The existing incumbents have bolstered their product portfolio and revamped their marketing machine around big data. There are also quite a few "disruptors" who have emerged using open source frameworks and/or as spin offs from big Internet companies. The current buzz about big data has led to a plethora of vendors, each one claiming their technology to be the best at lowering the total cost of ownership (TCO).
With all these tools at your disposal, you might think it is easy to get started with your first project. The reality, however, is that most people still find it difficult to start a big data analytics project.

Read More: A Framework for Understanding the Big Data Revolution -- TDWI -The Data Warehousing Institute