Big Data means high volume, high velocity, high variety of 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-week course, you will learn basic of data engineering using Hadoop ecosystem tools.

During this course You will learn:

  • Data engineer’s 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 a 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 the 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)

Learn more about Accenture Bootcamp here:

Pre-test links:

 

APPLY UNTIL: July 5, 2020