Learn Apache Spark Application Performance Tuning and Optimization Strategies

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Apache Spark Application Performance Tuning Course Overview


The Apache Spark Application Performance Tuning course is designed to help developers optimize their Spark applications to run faster and more efficiently. The course covers topics such as memory tuning, SparkSQL tuning, query optimization, debugging, identifying performance bottlenecks, and more. After taking the course, developers will have the knowledge and tools to increase their Spark application speed, stability, and scalability. This course is for professionals familiar with Apache Spark and its components and who have a basic understanding of distributed computing, the Spark catalog, and the various operations available in the Spark API.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

Apache Spark Application Performance Tuning
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The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.
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Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.
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4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.
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Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.

You will learn:

Module 1: Spark Architecture
  • RDDs
  • DataFrames and Datasets
  • Lazy Evaluation
  • Pipelining
  • Available Formats Overview
  • Impact on Performance
  • The Small Files Problem
  • The Cost of Inference
  • Mitigating Tactics
  • Recognizing Skew
  • Mitigating Tactics
  • Catalyst Overview
  • Tungsten Overview
  • Denormalization
  • Broadcast Joins
  • Map-Side Operations
  • Sort Merge Joins
  • Partitioned Tables
  • Bucketed Tables
  • Impact on Performance
  • Skewed Joins
  • Bucketed Joins
  • Incremental Joins
  • Pyspark Overhead
  • Scalar UDFs
  • Vector UDFs using Apache Arrow
  • Scala UDFs
  • Caching Options
  • Impact on Performance
  • Caching Pitfalls
  • WXM Overview
  • WXM for Spark Developers
  • Adaptive Number of Shuffle Partitions
  • Skew Joins
  • Convert Sort Merge Joins to Broadcast Joins
  • Dynamic Partition Pruning
  • Dynamic Coalesce Shuffle Partitions
Live Online Training (Duration : 24 Hours) 1900 + If you accept merging of other students. Per Participant & excluding VAT/GST
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Online
12 - 14 Jun 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
03 - 05 Jul 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Online
07 - 09 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)
Apache Spark Application Performance Tuning
Course Prerequisites

No prior knowledge of Apache Spark or application performance tuning is required for this training. An understanding of distributed computing and the Java language are beneficial but not required.

Target Audience


The target audience for Apache Spark Application Performance Tuning training would be software engineers, data engineers, developers, DevOps specialists, and administrators looking to create scalable, fault-tolerant distributed applications that are optimized for performance
It would also benefit software architects and big data analysts who want to understand the intricacies of optimizing Spark applications and data pipelines
Furthermore, IT and cloud operations professionals, who need to build and operate Apache Spark platforms with minimal downtime, will find this training useful
Finally, executives and managers who are new to Spark and need a solid, data-driven approach to optimizing application performance would also benefit from this training

Learning Objectives of Apache Spark Application Performance Tuning


1. Understand Apache Spark technology and its application to data analysis and data science.
2. Develop an understanding of Spark configuration settings, switches and settings.
3. Learn best practices and techniques related to tuning applications and optimizing their performance.
4. Become more familiar with performance monitoring techniques in order to assess and analyze the performance of an application.
5. Understand and practice the techniques used to design and develop strategies for improving the performance of Spark applications in various scenarios.
6. Be able to identify and diagnose issues related to the performance of Spark applications.
7. Be able to use different performance-tuning tools and techniques to optimize the performance of an application.
8. Gain practical experience and knowledge of tuning in a “real-world” production environment by implementing various performance tuning steps and tasks.
9. Analyze, evaluate and compare the performance results of various tuning settings in different production scenarios.
10. Be able to apply and integrate the newly-acquired Spark application performance tuning skills into their existing data analytics or data science projects.

FAQ's

Yes, we do offer corporate training More details
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You can pay through debit/credit card or bank wire transfer.
Yes, we do. For details go to flexi
Buy-Now. Pay-Later option is available using credit card in USA and India only.
Yes, course requiring practical include hands-on labs.
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, we also offer weekend classes.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
You can request a refund if you do not wish to enroll in the course.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
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Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
Duration of Ultra-Fast Track is 50% of the duration of the Standard Track. Yes(course content is same).

Prices & Payments

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Travel and Visa

Yes we do after your registration for course.

Food and Beverages

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Others

Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
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