Anmol is an experienced software developer with focus on Cloud Monitoring and Reliability. As a Senior Software Engineer in Splunk Enterprise Cloud, he oversees the monitoring and alerting pipelines across all Splunk Cloud stacks. Besides software development, he is actively involved with product management and data science. Before joining Splunk, he led the development and maintenance of several tools for performance engineering, data science, and predictive analytics at Salesforce. He holds a MS in CS from UC Irvine.
Let's have a look at common quality issues facing Big Data in terms of the key characteristics of Big Data – Volume, Velocity, Variety, Veracity, and Value.
Efficient implementation is key to achieving the benefits of parallelization, even though parallelism is a good idea when the task can be divided into sub-tasks that can be executed independent of each other without communication or shared resources.
The focus is increasingly shifting from storing and processing Big Data in an efficient way, to applying traditional and new machine learning techniques to drive higher value from the data at hand.
Infographic depicting unique differences between data scientists and business analysts. Find out what type of professional is needed to meet your organization’s needs.
We discuss the role of Analytics at Art.com, the polyglot data architecture at Art.com, the use cases for Hadoop, vendor selection, supporting semantic search and experience with Avro.