Big Data Technologies, Trends & Insights Training

Course 4500

  • Duration: 1 day
  • Labs: Yes
  • Language: English
  • Level: Foundation

In this one-day introduction to Big Data technologies, trends & insights course, you will gain the knowledge and skills to make effective business and technical decisions for adopting and deploying a big data solution that best fits the needs of your organization.

Organizations seeking to exploit the benefits of big data need a thorough understanding of big data platforms, tools, and technologies to make an informed decision. Attend this course and gain these decision-making skills in only one day.

Big Data Technologies, Trends & Insights Training Delivery Methods

  • Online

Big Data Technologies, Trends & Insights Course Benefits

Select appropriate big data platforms for different business scenariosBuild and run big data queries, data analytics, and visualizationsAssess and mitigate security risksIntegrate big data with traditional relational databases

Big Data Instructor-Led Training Outline

  • Configuring and monitoring a Hadoop cluster
  • Running MapReduce jobs to process large data sets
  • Analyzing large data sets with NoSQL data tools
  • Exploring data relationships using visualization tools
  • Scoping a Big Data pilot project and migration strategy

Need Help Finding The Right Training Solution?

Our training advisors are here for you.

Big Data Technologies, Trends & Insights Training FAQs

Big data is a term used to define data sets that have the potential to rapidly grow so large that they become unmanageable. The Big Data movement includes new tools and ways of storing information that allows efficient processing and analysis for informed business decision-making.

Understanding how to work with big data can help you glean useful insights from large amounts of data, which can help you and your organization make better business decisions.

Big Data technologies Big Data Insights, Technologies, & Trends course looks at include but not limited to Hadoop, MapReduce jobs, and NoSQL.

Chat With Us