This badge was issued to Ahmed Abdel-Baky on 07 Feb 2017.
- Time Months
Data Scientist - Explorer Award for Professionals 2017 - 2019
Issued by
IBM
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, 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-B0473800
- Python
- RDBMS
- Resilient Distributed Dataset
- Spark
- SQL
- Sqoop
- Structured And Unstructured Data
- Text Analytics
- XML
- Yarn
- Zookeeper
Earning Criteria
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Expected to be either an IBM Customer or Business Partner attending the IBM Skills Academy, or a nominated Information Technology professional working for IBM.
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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, Governance, 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.