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IBM C2090-101 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Make specific performance tuning decisions for Hive and HBase
  • Import streaming data into Hadoop using InfoSphere Streams
Topic 2
  • Evaluate use cases for selecting Hive, Big SQL, or HBase
  • Create a BigSheets workbook
Topic 3
  • Import data into Hadoop and create Big SQL table definitions
  • Utilize Pig for data transformation and data manipulation
Topic 4
  • Analyze performance considerations when using Apache Spark
  • Keep data secure within PCI standards
Topic 5
  • Export processing results out of Hadoop
  • Load data with Hadoop command line utility
Topic 6
  • Insert data via IBM General Parallel File System (GPFS) Posix file system API
  • Use Jaql query methods to transform data in InfoSphere BigInsights
Topic 7
  • Utilize Apache Hue for search visualization
  • Extract data from a relational source using Sqoop
Topic 8
  • Evaluate use cases for selecting potential file formats
  • Use Resilient Distributed Dataset (RDD) to improve MapReduce performance
Topic 9
  • Implement entity resolution within a Big Data platform
  • Load unstructured data into InfoSphere BigInsights

Reference: https://www.ibm.com/certify/exam?id=C2090-101

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