ABSTRACT

The top-down approach facilitates building a high-level view of installing the toolset comprised of data ingestion, data management, data storage, data visualization, and data analytics tools. Due to the complexity and volume of Big Data, it is important to take a top-down approach for implementing all of the tools and techniques that comprehensively support the batch processing as well as agile analytics needed to slice and dice Big Data. Includes core tools to integrate, govern, and secure Big Data such as pre-built connectors and transformations, data quality, data lineage, and data masking such as Data Vault. For high-quality support of the unique needs of Big Data analytics that powers all data intensive workloads on a centrally managed and highly scalable system, Cisco Unified Computing System stands out. For efficient and distributed processing of massive data workloads, load balancers will be deployed that balance load across servers.