Develop Applications with HPE Data Fabric Database - DEV 332

Develop Applications with HPE Data Fabric Database - DEV 332

Control user access to the database, and learn to query and filter data using primary and secondary indexes with Apache Drill.

About this Course

In this last chapter of the Data Fabric Database course, you will work on improving an existing Database. Begin by learning how to control user access to the database and data stored within it. Next, learn to query and filter data using primary and secondary indexes with Apache Drill. See how the HPE Data Fabric Database fits into the Data Fabric distribution and how it can be used with various enterprise use cases to maximize the performance of your database.

What's Covered

Course Lessons Lab Activities

5: Access and Work with Data in MapR Database

Understand Access Control Expressions (ACEs)
Advanced OJAI API

 

Access Control Expressions (ACEs)
Build an OJAI Application

6: Query Data in HPE Data Fabric Database

Query Data
Filter and Project Data

 

Query Data Using Primary and Secondary Indexes
Query Data Using Drill
Practice Using OJAI Queries and Export Data

7: Process Data in HPE Data Fabric Database

HPE Data Fabric Event Store Review
Batch Processing
Real-time Processing

 

Data Mine with Drill
Process Streaming Data with Spark

8: Performance and Security

Improve Database Performance
Secure Your Data in Data Fabric Database

 

Improve Performance for Java Applications

Prerequisites

  • Completion of the first two courses in the Data Fabric Database series: DEV 330, and DEV 331
  • Basic Hadoop knowledge and intermediate Linux knowledge
  • Experience using a text editor such as vi
  • Terminal program installed; familiarity with command-line options such as mv, cp, ssh, grep, cd, and useradd
  • Beginner-to-intermediate fluency with Java in an IDE

Curriculum

  • Lesson 5: Access and Work with Data
  • Quiz 5
  • Lesson 6: Query Data
  • Quiz 6
  • Lesson 7: Process Data
  • Quiz 7
  • Lesson 8: Performance and Security
  • Quiz 8
  • Course Materials
  • Lab Guide
  • Lab Environment Setup Guide

About this Course

In this last chapter of the Data Fabric Database course, you will work on improving an existing Database. Begin by learning how to control user access to the database and data stored within it. Next, learn to query and filter data using primary and secondary indexes with Apache Drill. See how the HPE Data Fabric Database fits into the Data Fabric distribution and how it can be used with various enterprise use cases to maximize the performance of your database.

What's Covered

Course Lessons Lab Activities

5: Access and Work with Data in MapR Database

Understand Access Control Expressions (ACEs)
Advanced OJAI API

 

Access Control Expressions (ACEs)
Build an OJAI Application

6: Query Data in HPE Data Fabric Database

Query Data
Filter and Project Data

 

Query Data Using Primary and Secondary Indexes
Query Data Using Drill
Practice Using OJAI Queries and Export Data

7: Process Data in HPE Data Fabric Database

HPE Data Fabric Event Store Review
Batch Processing
Real-time Processing

 

Data Mine with Drill
Process Streaming Data with Spark

8: Performance and Security

Improve Database Performance
Secure Your Data in Data Fabric Database

 

Improve Performance for Java Applications

Prerequisites

  • Completion of the first two courses in the Data Fabric Database series: DEV 330, and DEV 331
  • Basic Hadoop knowledge and intermediate Linux knowledge
  • Experience using a text editor such as vi
  • Terminal program installed; familiarity with command-line options such as mv, cp, ssh, grep, cd, and useradd
  • Beginner-to-intermediate fluency with Java in an IDE

Curriculum

  • Lesson 5: Access and Work with Data
  • Quiz 5
  • Lesson 6: Query Data
  • Quiz 6
  • Lesson 7: Process Data
  • Quiz 7
  • Lesson 8: Performance and Security
  • Quiz 8
  • Course Materials
  • Lab Guide
  • Lab Environment Setup Guide