Posts Tagged ‘compliance’

EMC and RainStor Optimize Interactive SQL on Hadoop

Mona Patel

Senior Manager, Big Data Solutions Marketing at EMC
Mona Patel is a Senior Manager for Big Data Marketing at EMC Corporation. With over 15 years of working with data at The Department of Water and Power, Air Touch Communications, Oracle, and MicroStrategy, Mona decided to grow her career at EMC, a leader in Big Data.

Pivotal HAWQ was one of the most groundbreaking technologies entering the Hadoop ecosystem last year through its ability to execute complete ANSI SQL on large-scale datasets managed in Pivotal HD. This was great news for SQL users – organizations heavily reliant on SQL applications and common BI tools such as Tableau and MicroStrategy can leverage these investments to access and analyze new data sets managed in Hadoop.

Similarly, RainStor, a leading enterprise database known for its efficient data compression and built-in security, also enables organizations to run ANSI SQL queries against data in Hadoop – highly compressed data.  Due to the reduced footprint from extreme data compression (typically 90%+ less), RainStor enables users to run analytics on Hadoop much more efficiently.  In fact, there are many instances where queries run significantly faster with a reduced footprint plus some filtering capabilities that figure out what not to read.  This allows customers to minimize infrastructure costs and maximize insight for data analysis on larger data sets.

Serving some of the largest telecommunications and financial services organizations, RainStor enables customers to readily query and analyze petabytes of data instead of archiving data sets to tape and then having to reload it whenever it is needed for analysis. RainStor chose to partner with EMC Isilon scale-out NAS for its storage layer to manage these petabyte-scale data environments even more efficiently. Using Isilon, the compute and storage for Hadoop workload is decoupled, enabling organizations to balance CPU and storage capacity optimally as data volumes and number of queries grow.

Rainstor

Furthermore, not only are organizations able to run any Hadoop distribution of choice with RainStor-Isilon, but you can also run multiple distributions of Hadoop against the same compressed data. For example, a single copy of the data managed in Rainstor-Isilon can service Marketing’s Pivotal HD environment, Finance’s Cloudera environment, and HR’s Apache Hadoop environment.

To summarize, running RainStor and Hadoop on EMC Isilon, you achieve:

  • Flexible Architecture Running Hadoop on NAS and DAS together: Companies leverage DAS local storage for hot data where performance is critical and use Isilon for mass data storage. With RainStor’s compression, you efficiently move more data across the network, essentially creating an I/O multiplier.
  • Built-in Security and Reliability: Data is securely stored with built-in encryption, and data masking in addition to user authentication and authorization. Carrying very little overhead, you benefit from EMC Isilon FlexProtect, which provides a reliable, highly available Big Data environment.
  • Improved Query Speed: Data is queried using a variety of tools including standard SQL, BI tools Hive, Pig and MapReduce. With built-in filtering, queries speed-up by a factor of 2-10X compared to Hive on HDFS/DAS.
  • Compliant WORM Solution: For absolute retention and protection of business critical data, including stringent SEC 17a-4 requirements, you leverage EMC Isilon’s SmartLock in addition to RainStor’s built-in immutable data retention capabilities.

I spoke to Jyothi Swaroop, Director of Product Marketing at Rainstor, to explain the value of deploying EMC Isilon with RainStor and Hadoop.

1.  RainStor is known in the industry as an enterprise database architected for Big Data. Can you please explain how this technology evolved and what needs it addresses in the market?

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RSA Leverages Big Data to Detect and Investigate Security Threats

Mona Patel

Senior Manager, Big Data Solutions Marketing at EMC
Mona Patel is a Senior Manager for Big Data Marketing at EMC Corporation. With over 15 years of working with data at The Department of Water and Power, Air Touch Communications, Oracle, and MicroStrategy, Mona decided to grow her career at EMC, a leader in Big Data.

As cyber attacks become more advanced and damaging, organizations are looking to integrate Big Data tools and techniques into their security operations to optimize threat detection and investigation. Organizations can no longer rely on traditional security systems that monitor and analyze only a slice of information from a portion of their environment. Nor can organizations depend on traditional perimeter or signature based systems, as they have not been able to stop today’s more sophisticated attackers. Organizations need full visibility into the security conditions of all networked assets, as well as external threat intelligence data to better monitor and detect suspicious activity.

Through technologies such as Hadoop, Big Data promises the collection and analysis of a wider scope of security data, and RSA leads this effort with RSA Security Analytics. Enterprise-wide network traffic and log event data, as well as the most up-to-date threat intelligence can be captured and analyzed in near real time so security analysts can better detect, investigate, and understand threats they could not easily see or understand before.

 

The bottom line is that no security system is bulletproof; therefore, to minimize damage, RSA Security Analytics helps organizations reduce an attacker’s “free time” from weeks to hours through better detection and investigation capabilities. I spoke with Matthew Gardiner, Senior Manager at RSA to provide more details on how Big Data can address the dynamic nature of Internet Security.

1. How has the attacker profile changed, creating more advanced threats?

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