Big Data  means high volume, high velocity, high variety information and data veracity. To deal with big data challenges, new professions have emerged in the market: data engineers and data scientists. Data engineers are the builders and masters of various data oriented information systems. Data scientists, on the other hand, are people who know how to extract knowledge or insights from these large volumes of data. In this three-weeks course, you will learn basic of data engineering using Hadoop ecosystem tools.

During this course You will learn:

  • Data engineers skill set that is needed for the builders and masters of various data oriented information systems
  • Different Hadoop ecosystem tools: HDFS, Hive, Spark,  MapReduce, Impala, Oozie, Sqoop etc.
  • Basic programming, Scala, Spark
  • SQL for big data: Hive
  • noSQL: Hbase, MongoDB, Cassandra
  • Streaming solutions like Flume, Kafka
  • Work on a small project

You will work with multiple tools (e.g. Hive, Spark, Scala) for big data engineer, as a developer you will work closely with data scientists, web, DevOps, cloud automation and data visualization specialist

Pre-requirement for effective learning during course:

  • Basic understanding of programming principles (Java, Python, Scala), some programming experience
  • Basic understanding of SQL and noSQL
  • Basic understanding of shell scripting (basic Unix commands)

Pre-test links:

Learn more about Accenture Bootcamp here: