Big Data Engineer - Explorer Award 2018

Number of badges issued: 1409

Through an instructor-led classroom, this badge earner has demonstrated the ability to use Big Data methodologies to collect & analyze large amounts of data from different sources, using IBM Watson Studio and Open Source Tools. This individual has demonstrated an understanding of topics such as Apache Hadoop, Ambari, Spark, Big SQL, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.

More Details

Skill tags:

Big Data Data Science Hortonworks Data Platform Sqoop Flume Kafka Hive HBase Spark Knox Apache Ambari Zookeeper Big SQL IBM Watson Studio Hadoop HDFS MapReduce Yarn Apache Spark Slider Security Stream Computing Data Science Notebooks Jupyter

Big Data Engineer - Explorer Award 2018

What is needed to earn this credential or badge

Member

Must be the following: a student; faculty member from a higher education institution; or IBM Customer, Business Partner or IBM employee. All badge earners must be either attending or are involved in the IBM Skills Academy Program.

Course

Completion of Module I - Big Data Overview: Introduction to Big Data; Examples of Big Data; The 4Vs; Types of Big Data; Big Data in the Industry; Big Data and Internet of Things.

Course

Completion of Module II - Big Data Engineer: Introduction to Big Data & Data Analytics; Introduction to HDP; Apache Ambari & Spark; Hadoop & HDFS; MapReduce & YARN; Storing & querying data; ZooKeeper, Slider & Knox, Loading data with Sqoop; Security & Governance; Stream Computing, Data Science Open Source Tools, Getting started with Jupyter; Using Big SQL to access data in HDFS; Configuring Big...

Assessment

Passed the Big Data Engineer 2018 academic practice test.

Big Data Engineer - Explorer Award 2018

Alignment to standards

no alignment to standards

Big Data Engineer - Explorer Award 2018

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