Building Big Data Analytical Apps Using Existing ETL Skills
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.
Please fill out the form to receive the document via email.