This badge was issued to Tamir Tsegaye on 20 Jan 2017.
Data Scientist - Explorer Award for Students 2017 - 2019
Issued by
IBM
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, Text Analytics, HDFS, YARN, MapReduce, ZooKeeper, Knox, Sqoop, and HBase.
- Time Months
Skills
- Apache Ambari
- Apache Hadoop
- Apache Solr
- AQL
- Big Data
- Big R
- BigSheets
- Big SQL
- Data Governence
- Data Security
- Data Server Manager
- Flume
- GPFS
- HBase
- HDFS
- Hive
- IBM BigInsights
- Java
- JSON
- JSqsh
- Knox
- Labmda
- MapReduce
- Networking
- NoSQL
- Oozie
- Open Source R
- Pig
- Platform Symphony
- POSIX
- PWID-B0357400
- Python
- RDBMS
- Resilient Distributed Dataset
- Spark
- SQL
- Sqoop
- Structured And Unstructured Data
- Text Analytics
- XML
- Yarn
- Zookeeper
Earning Criteria
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Must be a student of the IBM Skills Academy with no prior professional experience.
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Completion of Module I - Data Management Overview: Covering Data overview, Industry Applications, Case Studies; and Understanding Big Data.
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Completion of Module II - Big Data Foundations: Covering Linux/Unix Essentials; RDBMS/SQL Essentials; Programming Essentials; Data Formats, Security, Governence, and Movement; and Networking Skills Basics.
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Completion of Module III - Data Scientist: Covering Introduction to Big Data and IBM BigInsights; Introduction to Apache Hadoop, Ambari & Spark; HDFS, MapReduce & YARN; Storing & Accessing Data; Using Big SQL to access HDFS data; Querying Hadoop data using Big SQL; Administering & managing Big SQL tables; Data federation using Big SQL; Discovering data with expressions, formulas, and functions; Integrating with Big SQL; Task Analysis; and AQL.
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Passed the Data Scientist academic practice test.