Data Scientist - Explorer Award for LA Students 2017 - 2019
Through a faculty-led student education, this badge earner has demonstrated the ability to use a Big Data platform and data governance concepts to efficiently store and manage extremely large amounts of data, 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
Must be a student of the IBM Skills Academy in Latin America with no prior professional experience.
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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