Big Data Analytics

מק"ט: #3533 | משך קורס: 8 שעות אק'

Big data analytics is the process of examining large amounts of data of a variety of types to uncover hidden patterns and other useful information that can provide competitive advantages and better business results.
Big data analytics can be done with the software tools commonly used - but the unstructured data sources used for big data analytics may not fit in traditional data warehouses. Additionally, traditional data warehouses may not be able to handle the processing demands posed by big data. As a result, a new class of big data technology has emerged and is being used in many big data analytics environments

This course will teach you how to improve business decisions by analyzing data from various sources like: social media activity reports, mobile-phone call detail records, information captured by sensors, etc. The course also explores the technologies associated with big data analytics like: NoSQL, Hadoop and MapReduce and how they can be integrated into existing analytical environments.

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Understand the core concepts of Big Data Analytics and explore the tools and technologies for building analytic capabilities that can support both structured data and unstructured data.

קהל יעד

This course is designed for technical managers and decision makers who wish to improve business decisions by integrating Big Data insights into their existing analytical environments.

תנאי קדם

Familiarity with traditional analytics environments


  • What Big Data is?
  • Introducing Unstructured Data
  • Big Data Challenge – Data and Analytical Complexity
  • Big Data Business Solutions and Architecture Considerations
  • Introducing Hadoop: HDFS, MapReduce, Hive and HBase
  • Approaches to use Hadoop tools for Analytics
  • NoSQL DBMSs – considering various types
  • Using New Technologies vs. Traditional Tools
  • Integrating Analytical Databases and MapReduce – how it all fits together
  • Introducing key vendors and solutions