Data Scientist - Explorer Award for LA Professionals 2017 - 2019
Through an instructor-led classroom, this badge earner has demonstrated the ability to use Big Data concepts and platforms to efficiently collect and analyze large amounts of data from different sources, using IBM BigInsights. This individual has demonstrated an understanding of topics such as Apache Hadoop, Ambari, and Spark, Big SQL, Big R, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.
What it takes to earn this badge
Expected to be either an IBM Customer or Business Partner attending the IBM Skills Academy in Latin America, or a nominated Information Technology professional working for IBM.
Completion of Module I - Big Data and Hadoop Introduction: What is Big Data; Big Data Business Context; What is Hadoop; and Hadoop Business Context.
Completion of Module II - Hadoop Fundamentals: Introduction to Apache Hadoop; Apache Ambari; Hadoop; HDFS; Map Reduce and Yarn; Apache Spark; ZooKeeper; Moving Data into HDFS with Sqooq; and Using Hive to access Hadoop/Hbase data.
Completion of Module III - Big SQL Fundamentals: Using Big SQL to access HDFS data; Querying Hadoop data using Big SQL; Administering & managing Big SQL tables; Data federation using Big SQL; Using Big SQL operations on tables managed by HBase; and Using Spark operations on tables managed by Big SQL.
Passed the Data Scientist LA 2017 academic practice test.
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