Apache ORC Training Course Outline

Module 1: Introduction to Apache ORC

  • What is Apache ORC?
  • ORC Adapters
  • ORC Types
  • Level of Indexes
  • ACID Support

Module 2: Building ORC

  • Building
    • Both C++ and Java
    • Java
    • C++
    • Specify Third-Party Libraries for C++ Build

Module 3: Using in Spark

  • Spark DDL
  • Spark Configuration

Module 4: Using in Python

  • PyArrow
  • Dask

Module 5: Using in Hive

  • Hive DDL
  • Hive Configuration
    • Table Properties
    • Configuration Properties

Module 6: Using in MapReduce

  • Reading ORC Files
  • Writing ORC Files
  • Sending OrcStruct, OrcList, OrcMap, or OrcUnion through the Shuffle

Module 7: Using ORC Core

  • Core Java
  • Core C++

Module 8: Apache ORC Tools

  • C++ Tools
    • orc-contents
    • orc-metadata
    • csv-import
    • orc-scan
    • orc-statistics
  • Java Tools
    • Java Meta
    • Java Data and Scan
    • Java Convert
    • Java JSON Schema
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Who should attend this Apache ORC Training Course?

The Apache Optimised Row Columnar (ORC) Training is a specialised course aimed to provide Engineers, Architects, and Developers with an in-depth understanding of high-performance columnar storage format used in the Hadoop ecosystem. The following are some professionals who can benefit from this course:

  • Data Engineers
  • Big Data Developers
  • Database Administrators
  • Data Scientists
  • Hadoop Administrators
  • Cloud Engineers
  • ETL Developers

Prerequisites of the Apache ORC Training Course

There are no formal prerequisites for this Apache ORC Training Course. However, a basic understanding of Hadoop would be useful.

Apache ORC Training​ Course Overview

Apache is a non-profit organisation that helps those open-source software projects that are released under the license of Apache. Apache ORC is a self-describing columnar file format enabling efficient querying and storage of data on Hadoop. It uses multi-version concurrency control for supporting ACID transactions. This Apache ORC Training is designed to equip delegates with a detailed knowledge of Apache ORC.

The Knowledge Academy’s Apache OCR Training will introduce delegates to ORC adapters and types. Delegates will gain knowledge of Apache ORC’s three levels of indexes. In addition, delegates will learn how to build Apache ORC. Delegates will get familiarised with hive DDL and configuration, including table and configuration properties.

During this 1-day course, delegates will learn how to read and write ORC files. Delegates will get an understanding of how to send OrcStruct, OrcList, OrcMap through the shuffle. This Apache ORC Training will fully prepare delegates on how to use Apache ORC tools – C++ and Java tools. Post completion of this training, delegates will be able to use Java meta, data, scan, convert, and JSON Schema.

Course Objectives

  • To understand fundamentals of Apache ORC and its architectur
  • To apply ORC with Python frameworks like PyArrow and Dask
  • To implement ORC in MapReduce for file processing
  • To utilise ORC Core in both Java and C++ environments
  • To explore ORC tools for scanning and data management
  • To optimise big data operations with ORC integration

After attending this training, delegates will be able to confidently apply Apache ORC in big data environments to enhance storage efficiency, query performance, and system scalability. They will be capable of building and integrating ORC with multiple platforms, including Spark, Hive, MapReduce, and Python, to streamline data workflows. Delegates will also be skilled in using ORC tools to inspect metadata, manage content, and convert formats for improved data handling.

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What’s included in this Apache ORC Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Apache ORC Certificate
  • Digital Delegate Pack
Hands-On Labs: Included as part of our online instructor-led delivery, these labs provide real-world exercises in a simulated environment guided by expert instructors to enhance your practical skills.
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Train Your Workforce

Looking for Apache ORC Training in-house or onsite training in Portland? We specialise in corporate group training and bulk bookings for organisations of all sizes in Portland. Our trainers deliver tailored sessions at your premises, online, or hybrid, with best price guarantee, group discounts and flexible scheduling to train your team.

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Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Apache ORC Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

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Learn Apache ORC Training through The Knowledge Academy’s Online Self-Paced Learning. This flexible and structured format supports your training goals and enables every professional to build skills with confidence.

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Package deals for Apache ORC Training

Our training experts have compiled a range of course packages on a variety of categories in Apache ORC Training, to boost your career. The packages consist of the best possible qualifications with Apache ORC Training, and allows you to purchase multiple courses at a discounted rate.

Apache ORC Training in Portland FAQs

What is Apache ORC?

Apache ORC (Optimized Row Columnar) is a columnar storage format designed for efficient data processing in big data systems, particularly with Apache Hive, offering high compression and faster query performance.

Why is Apache ORC used?

ORC is primarily used to improve the storage efficiency, query performance, and data analytics in Hadoop-based ecosystems. It helps handle large volumes of data with lower storage costs and faster read/write operations.

Who should attend this training?

This training is designed for data engineers, big data analysts, data scientists, and anyone involved in data processing or optimisation within the Hadoop ecosystem.

What are the prerequisites for this course?

Participants should have a basic understanding of Hadoop and Apache Hive, along with familiarity with SQL and some experience working with large datasets.

What skills will I gain from this training?

Participants will learn to create and manage ORC files, optimise data storage, and execute efficient queries using Apache Hive and other tools within the Hadoop ecosystem.

How does Apache ORC compare to other storage formats like Parquet and Avro?

ORC provides better compression rates and query performance compared to other formats like Parquet and Avro, especially for read-heavy operations in Hive. However, the choice of format depends on specific use cases, including data processing and analytics requirements.

What is the role of Apache ORC in the Hadoop ecosystem?

Apache ORC is optimised for Hive, improving the performance of complex queries in data warehouses. It is an integral part of Hadoop’s storage and processing pipeline, especially for large datasets.

What is the cost/training fees for Apache ORC Training in Portland?

The training fees for Apache ORC Training in Portland starts from $2995

Which is the best training institute/provider of Apache ORC Training in Portland?

The Knowledge Academy is one of the Leading global training provider for Apache ORC Training.

What are the best Big Data and Analytics Training courses in Portland?

Please see our Big Data and Analytics Training courses available in Portland

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