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Course information
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
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.
What’s included in this Apache ORC Training Course?
- World-Class Training Sessions from Experienced Instructors
- Apache ORC Certificate
- Digital Delegate Pack
Why choose us
Our Albany, NY venue
Includes..
Air conditioned
To keep you comfortable during your course we offer a fully air conditioned environment.
Full IT support
IT support is on hand to sort out any unforseen issues that may arise.
Video equipment
This location has full video conferencing equipment.
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Apache ORC Training in Albany, NY. 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.
Unlock your potential with The Knowledge Academy's Apache ORC Training in Albany, NY, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.
Tailored learning experience
Leverage benefits offered from a certification that fits your unique business or project needs
Maximise your training budget
Cut unnecessary costs and focus your entire budget on what really matters, the training.
Team building opportunity
Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings
Monitor employees progress
The course know-how will help you track and evaluate your employees' progression and performance with relative ease
What our customers are saying
Apache ORC Training in Albany, NY FAQs
Please arrive at the venue at 8:45am.
There are no formal prerequisites for attending this course.
Anyone who wishes to learn about Apache ORC can attend this course.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 1 day.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for Apache ORC Trainingin Albany, NY starts from $2495
The Knowledge Academy is the Leading global training provider for Apache ORC Training.
Please see our Big Data and Analytics Training courses available in Albany, NY
Why choose us
Best price in the industry
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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