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Manager | Data Science Enthusiast | Management Consultant at a consultancy with 5,001-10,000 employees
Dec 10 2017

What do you think of Apache Spark?

Improvements to My Organization Organisations can now harness richer data sets and benefit from use cases, which add value to their business functions. • Valuable Features Distributed in memory processing. Some of the algorithms are resource heavy and executing this requires a lot of RAM and CPU. With Hadoop-related technologies, we can distribute the workload with multiple commodity hardware. • Room for Improvement Include more machine learning algorithms and the ability to handle streaming of data versus micro batch processing. • Use of Solution Three to five years. • Stability Issues At times when users do not know how to use Spark and request a lot of resources, then the underlying JVMs can crash, which is a big sense of worry.  • Scalability Issues No...
Real User
Vice President - Big Data and Delivery at a software R&D company with 51-200 employees
Nov 22 2016

What is most valuable?

* Cloudera Manager for administering the Hadoop cluster * Cloudera specific solutions like Impala * Extensive documentation * Good user community

How has it helped my organization?

Implementing a Hadoop cluster has become relatively straight-forward using CDH. Administering it is also less complex. As a result, efforts spent in these areas are less than anticipated.

What needs improvement?

* Some of the UI features seem confusing e.g. charts on the CM Services page * Sometimes it gets confusing to follow a single path for installation due to multiple recommended approaches e.g. parcels vs packages

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