Intelligent Business Strategies Director and big data consultant, Mike Ferguson, reviews current and emerging big data technologies, and presents 10 key requirements for big data analytics success.
Big data analytics is driving fresh, new insight into customer behavior and business operations allowing firms to become data-driven. Apache Hadoop, MapReduce, Spark and Storm are forming an analytics foundation so firms can analyze more data faster than ever before. However, these technologies present new obstacles that can inhibit big data analytics success.
This white paper reviews:
- Proven use cases driving adoption of big data analytics
- Pros and cons of MapReduce, Spark, Storm and Lambda technologies to feed intelligence tools
- 10 key requirements for big data analytics success
- How Talend delivers big data using existing resources
Intelligent Business Strategies Director and big data consultant, Mike Ferguson, reviews current and emerging big data technologies, and presents 10 key requirements for big data analytics success.
Big data analytics is driving fresh, new insight into customer behavior and business operations allowing firms to become data-driven. Apache Hadoop, MapReduce, Spark and Storm are forming an analytics foundation so firms can analyze more data faster than ever before. However, these technologies present new obstacles that can inhibit big data analytics success.
This white paper reviews:
- Proven use cases driving adoption of big data analytics
- Pros and cons of MapReduce, Spark, Storm and Lambda technologies to feed intelligence tools
- 10 key requirements for big data analytics success
- How Talend delivers big data using existing resources
* Gartner, Inc., “Magic Quadrant for Data Integration Tools,” Mark Beyer, August 2016.
** Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.
