Date: Thursday, October 20, 2016
Time: Noon ET/ 9:00 am PT
Duration: 60 minutes (including Q&A)
Businesses are clamoring to capture all data possible and harness it as a revenue driver. The challenge is bringing the data together. Companies that can capture and harness this data can benefit accordingly.
When it comes to data management in Hadoop, the architecture foundation makes all the difference for performance. Jake Dolezal shares his research into the performance of data quality and data management workloads on Hadoop clusters. Jake discusses a YARN-based approach to data management and outlines highly effective IT resource utilization techniques to achieve extreme agility for organizations and performance gains in Hadoop.
What You Will Learn:
- Learn an effective method for democratizing data access and business intelligence
- Understand what it takes to break through the traditional trade-offs in managing big data and achieve both agility and performance without the use of code-based languages like Spark or MapReduce
- Discover how to achieve performance in Hadoop that is 5.5x faster than Spark and 19x faster than MapReduce
- How to manage complex, high-volume data with identity and entity resolution in the most demanding applications, such as customer data quality
All attendees will receive a free copy of the report “Hadoop Data Integration Benchmark” published by MCG Global Services.
McKnight Consulting Group Global Services
Vice President of Product Strategy,