Enterprise Database Systems
IBM BigInsights Fundamentals
IBM BigInsights Fundamentals: Analyzing, Querying, and Extracting Big Data
IBM BigInsights Fundamentals: Hadoop Solution

IBM BigInsights Fundamentals: Analyzing, Querying, and Extracting Big Data

Course Number:
df_ibmb_a02_it_enus
Lesson Objectives

IBM BigInsights Fundamentals: Analyzing, Querying, and Extracting Big Data

  • start the course
  • recognize how to create a text analytics project, add documents, and use and customize a prebuilt extractor
  • recognize how to analyze input documents to identify information that will be extracted
  • identify the steps required to configure extractors and extract of features
  • complete the steps required to finalize and save an extractor
  • identity the steps required to create master workbooks
  • recognize the steps required to create child workbooks
  • combine data from two workbooks into a single data collection using BigSheets
  • complete the steps required to create columns based on grouped data
  • complete the steps required to view data in BigSheets diagrams
  • identify the steps required to export data from workbooks to a CSV file and a browser tab
  • recognize the steps required to configure an SQL script file
  • complete the steps required to create and run a query to analyze data
  • identify the steps required to create a view that will |w represent data from a query
  • complete the steps to configure and run an Big SQL query to analyze data
  • perform the steps required to upload a dataset to the BigInsights server using Big R
  • recognize how to use IBM BigInsights Big R to explore the structure of a dataset
  • work with IBM BigInsights Big R to analyze data
  • create a bar chart to visualize big data with IBM BigInsights Big R
  • use BigSheets to create a master workbook and export the data from the workbook

Overview/Description
IBM BigInsights allows organizations to manage and analyze big data from various sources. It helps to process and analyze the volume and variety of data that is created and collected every day. In this course, you will learn how to use BigSheets to analyze data, how to use Big SQL to query and analyze data, and analyze data using BigInsights Text Analytics. The course also covers using Big R to analyze data.

Target Audience
Administrators, developers, managers, database developers, and anyone interested in learning about the fundamentals of IBM BigInsights.

IBM BigInsights Fundamentals: Hadoop Solution

Course Number:
df_ibmb_a01_it_enus
Lesson Objectives

IBM BigInsights Fundamentals: Hadoop Solution

  • start the course
  • recognize what Hadoop is
  • recognize the core components that make up Hadoop
  • identify the IBM Hadoop offerings
  • identify the layers of IBM's Hadoop solution
  • identify the data access, search, administration, and security Apache open-source projects
  • recognize what IBM BigInsights is
  • recognize the IBM open platform with Apache Hadoop benefits
  • recognize the software capabilities of IBM BigInsights for Apache Hadoop
  • recognize the open source technologies that are used with IBM Open platform with Apache Hadoop
  • recognize the IBM open platform with Apache Hadoop and the BigInsights value-add services, including the BigInsights package editions and their supported features
  • recognize that IBM BigInsights can be integrated with other IBM products
  • identify the system requirements for IBM BigInsights for Apache Hadoop
  • recognize the IBM Open Platform with Apache Hadoop file system
  • recognize what BigInsights Text Analytics is and the features it offers
  • Identify what IBM Big SQL is and its functions
  • recognize what BigSheets is and its functions
  • recognize use cases for Hadoop and big data analytics
  • identify the prerequisites, system requirements, the available docker images, and native install options used to install BigInsights on premises for the IBM open platform with Apache Hadoop
  • identify what IBM BigInsights quick start edition is and the features it offers
  • recognize what IBM BigInsights on cloud is and what it offers
  • identify how IBM BigInsights can be used using the cloud, including using IBM Analytics for Hadoop on Bluemix for cloud trial
  • choose between IBM BigInsights' software installation packages based on a scenario, and ensure the system requirements are met

Overview/Description
IBM BigInsights Apache Hadoop combines the open source Hadoop framework with enterprise-grade capabilities. It provides businesses the ability to gain insight into data and ways to effectively manage and analyze big data. In this course, you will be introduced to the fundamentals of IBM BigInsights Apache Hadoop, including its components, features, benefits, capabilities, and the architecture of IBM BigInsights Hadoop.

Target Audience
Administrators, developers, managers, database developers, and anyone interested in learning about the fundamentals of IBM BigInsights.

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