- Type Validation
- Level Advanced
- Time Months
- Cost Free
Big Data Engineer Certificate: Explorer
Issued by
IBM
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.
- Type Validation
- Level Advanced
- Time Months
- Cost Free
Skills
Earning Criteria
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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 SkillsBuild program.
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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.
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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 SQL security; IBM Watson Studio.
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Passed the Big Data Engineer Certificate: Explorer academic practice test.