Building Batch Data Analytics Solutions on AWS Course Overview

Building Batch Data Analytics Solutions on AWS Course Overview

The "Building Batch Data Analytics Solutions on AWS" course offers an in-depth exploration into constructing robust data analytics pipelines on the AWS platform. It equips learners with the skills to leverage AWS services for high-performance analytics, focusing on batch data processing using tools like Amazon EMR and Apache Spark.

Module 0 sets the stage by introducing key data analytics use cases and the crucial role of data pipelines for effective analytics. Module 1 dives into Amazon EMR, detailing its use in analytics solutions, cluster architecture, cost management, and includes an interactive demo for launching an EMR cluster. Module 2 looks at optimizing storage and data ingestion techniques for Amazon EMR.

Module 3 is dedicated to high-performance analytics using Apache Spark on Amazon EMR, including practical labs for hands-on experience. Module 4 continues with processing and analyzing batch data using Apache Hive and HBase on Amazon EMR.

In Module 5, learners discover serverless data processing and orchestrate workflows with AWS services like AWS Glue and AWS Step Functions. Module 6 covers the vital aspects of security, monitoring, and troubleshooting of EMR clusters, concluding with a design activity for a batch data analytics workflow. Finally, Module 7 provides insights into developing modern data architectures on AWS, broadening the scope for learners to design comprehensive analytics solutions. This course is a valuable resource for professionals seeking to enhance their batch data analytics capabilities on the AWS cloud.

Koenig's Unique Offerings

images-1-1

1-on-1 Training

Schedule personalized sessions based upon your availability.

images-1-1

Customized Training

Tailor your learning experience. Dive deeper in topics of greater interest to you.

images-1-1

4-Hour Sessions

Optimize learning with Koenig's 4-hour sessions, balancing knowledge retention and time constraints.

images-1-1

Free Demo Class

Join our training with confidence. Attend a free demo class to experience our expert trainers and get all your queries answered.

Purchase This Course

844

  • Live Online Training (Duration : 8 Hours)
  • Per Participant
  • Including Official Coursebook
  • Guaranteed-to-Run (GTR)
  • date-img
  • date-img

♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 8 Hours)
  • Per Participant
  • Including Official Coursebook

♱ Excluding VAT/GST

Classroom Training price is on request

Request More Information

Email:  WhatsApp:

Course Prerequisites

To ensure that participants are equipped to successfully undertake training in the "Building Batch Data Analytics Solutions on AWS" course, the following minimum prerequisites are recommended:


  • Basic understanding of big data technologies and their applications.
  • Familiarity with data warehousing and database systems.
  • Working knowledge of distributed systems and cloud computing concepts.
  • Prior experience with AWS services, particularly Amazon S3 and EC2.
  • Proficiency in at least one high-level programming language, such as Python, Scala, or Java.
  • Basic understanding of Linux operating systems and command-line interface usage.
  • Familiarity with SQL and data manipulation.
  • An introductory-level knowledge of data analytics and data pipelines.

These prerequisites are meant to provide a foundation that will help learners more effectively absorb the course content and participate in hands-on labs and demos. However, individuals with a strong desire to learn and a commitment to expanding their skills may find that they can successfully complete the course even if they do not meet all of the above criteria.


Target Audience for Building Batch Data Analytics Solutions on AWS

This course covers advanced data analytics on AWS, focusing on batch processing and data pipeline optimization for IT professionals.


  • Data Engineers
  • Data Scientists
  • Data Analysts
  • Solutions Architects
  • Cloud Computing Specialists
  • Business Intelligence Professionals
  • IT Managers overseeing data operations
  • Software Developers interested in data analytics
  • DevOps Engineers involved in data pipeline deployment
  • Technical Professionals looking to specialize in AWS analytics services
  • System Administrators aiming to expand their skill set into big data
  • AWS Certified Professionals seeking to deepen their expertise in data analytics services


Learning Objectives - What you will Learn in this Building Batch Data Analytics Solutions on AWS?

Introduction to Course Outcomes

This course empowers students with the skills necessary to build scalable batch data analytics solutions on AWS, leveraging tools such as Amazon EMR, Apache Spark, and Hive.

Learning Objectives and Outcomes

  • Understand data analytics use cases and how to implement data pipelines for effective analytics.
  • Learn the essentials of Amazon EMR, including cluster architecture and cost management strategies.
  • Gain hands-on experience in launching and managing Amazon EMR clusters through interactive demos.
  • Master storage optimization and data ingestion techniques specific to Amazon EMR.
  • Explore Apache Spark use cases on Amazon EMR, understand its benefits, and perform data transformations and analytics.
  • Acquire practical skills in connecting to an EMR cluster and executing Scala commands using the Spark shell.
  • Utilize notebooks with Amazon EMR for low-latency data analytics and gain proficiency with hands-on lab experience.
  • Process and analyze batch data efficiently using Amazon EMR with Apache Hive and HBase.
  • Discover serverless data processing options and learn to orchestrate data workflows using AWS Glue and Step Functions.
  • Enhance security measures, perform client-side encryption, and monitor EMR clusters, including troubleshooting and reviewing cluster history.

These objectives and outcomes are designed to provide a comprehensive understanding of building and optimizing batch data analytics workflows on AWS, preparing students to create robust, secure, and cost-effective data solutions.

FAQ's


Yes of course. 100% refund if training not upto your satisfaction.
Yes, course requiring practical include hands-on labs.
Yes, we do. For details go to flexi
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes you can.
You can request a refund if you do not wish to enroll in the course.
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.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
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.
You will receive the letter of course attendance post training completion via learning enhancement tool after registration.
Yes, you can pay from the course page and flexi page.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
We use the best standards in Internet security. Any data retained is not shared with third parties.
After you submit your payment, you will land on the payment confirmation screen.It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our @koenig-solutions.com email address.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however,it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
You can pay through debit/credit card or bank wire transfer.
Yes you can request your customer experience manager for the same.
Yes, fee excludes local taxes.
Yes, we do.
The Fee includes:
  • Official Course-Book
  • Testing Via Qubits
Yes, Koenig Solutions is a AWS Learning Partner
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.

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages

Yes.

Others

Medical services in India are at par with the world and are a fraction of costs in Europe and USA. A number of our students have scheduled cosmetic, dental and ocular procedures during their stay in India. We can provide advice about this, on request.
All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.
Says our CEO-
“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)