DEV 332 - Develop Applications with MapR-DB (v6)

DEV 332 - Develop Applications with MapR-DB (v6)

Not currently available

Available on Sept. 2, 2019, midnight PDT.

About this Course

In this last chapter of the MapR-DB course, you will work with improving an existing MapR-DB database. You begin by learning about how user access can be controlled to the database, and data stored within MapR-DB. You will then learn how to query and filter data, using primary and secondary indexes, with Apache Drill. You will see how MapR-DB fits into the MapR ecosystem, and how it can be used with various enterprise level use cases, and maximize the performance of your database.

What's Covered

Course Lessons Lab Activities

5: Access and Work with Data in MapR-DB

Understand Access Control Expressions (ACEs)
Advanced OJAI API

 

Access Control Expressions (ACEs)
Build an OJAI Application

6: Query Data in MapR-DB

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: Integrate MapR-DB into the Converged Data Platform

MapR-XD Review
Batch Processing
Real-time Processing

 

Data Mine with Drill
Process Streaming Data with Spark

8: Performance and Security

Improve MapR-DB Performance
Secure Your Data on MapR-DB

 

Improve Performance for Java Applications

Prerequisites

  • Completion of ESS 100 -102, ESS 330, and DEV 330
  • 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 in MapR Database
  • Lesson 6: Query Data in MapR Database
  • Lesson 7: Integrate MapR Database into the Converged Data Platform
  • Lesson 8: Performance and Security
  • Course Materials
  • Slide Guide (Transcript)
  • Lab Guide

About this Course

In this last chapter of the MapR-DB course, you will work with improving an existing MapR-DB database. You begin by learning about how user access can be controlled to the database, and data stored within MapR-DB. You will then learn how to query and filter data, using primary and secondary indexes, with Apache Drill. You will see how MapR-DB fits into the MapR ecosystem, and how it can be used with various enterprise level use cases, and maximize the performance of your database.

What's Covered

Course Lessons Lab Activities

5: Access and Work with Data in MapR-DB

Understand Access Control Expressions (ACEs)
Advanced OJAI API

 

Access Control Expressions (ACEs)
Build an OJAI Application

6: Query Data in MapR-DB

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: Integrate MapR-DB into the Converged Data Platform

MapR-XD Review
Batch Processing
Real-time Processing

 

Data Mine with Drill
Process Streaming Data with Spark

8: Performance and Security

Improve MapR-DB Performance
Secure Your Data on MapR-DB

 

Improve Performance for Java Applications

Prerequisites

  • Completion of ESS 100 -102, ESS 330, and DEV 330
  • 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 in MapR Database
  • Lesson 6: Query Data in MapR Database
  • Lesson 7: Integrate MapR Database into the Converged Data Platform
  • Lesson 8: Performance and Security
  • Course Materials
  • Slide Guide (Transcript)
  • Lab Guide