Menu Icon

Available Training Rooms

  • PRIVATE BATCH
  • PUBLIC PROGRAM
  • ON DEMAND
  • BLENDED

Course Details

  • Course Overview
  • Course Objective
  • Who Can Benefit
  • Prerequisites
  • Syllabus

In this one-day, advanced course, you will learn to design, build, and operate a serverless data lake solution with AWS services. This course will include topics such as ingesting data from any data source at large scale, storing the data securely and durably, enabling the capability to use the right tool to process large volumes of data, and understanding the options available for analyzing the data in near-real time.

In this course, you will learn how to:

  • Collect large amounts of data using services such as Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose and store the data durably and securely in Amazon Simple Storage Service (Amazon S3)
  • Create a metadata index of your data lake
  • Choose the best tools for ingesting, storing, processing, and analyzing your data in the lake
  • Apply the knowledge to hands-on labs that provide practical experience with building an end-to-end solution
  • Configure Amazon Simple Notification Service (Amazon SNS) to audit, monitor, and receive event notifications about activities in the data warehouse
  • Prepare for operational tasks, such as resizing Amazon Redshift clusters and using snapshots to back up and restore clusters
  • Use a business intelligence (BI) application to perform data analysis and visualization tasks against your data

This course is intended for:

  • Solutions architects
  • Big Data developers
  • Data architects and analysts
  • Data analysis practitioners

We recommend that attendees of this course have the following prerequisites:

  • Working knowledge of AWS core services, including Amazon Elastic Compute Cloud (Amazon EC2) and Amazon S3
  • Experience working with a programming or scripting language
  • Familiarity with the Linux operating system and command line interface
  • A laptop to complete lab exercises; tablets are not appropriate

This course covers the following concepts:

  • Key services that help enable a serverless data lake architecture
  • A data analytics solution that follows the ingest, store, process, and analyze workflow
  • Repeatable template deployment for implementing a data lake solution
  • Building of a metadata index and enabling search capability
  • Setup of a large-scale data ingestion pipeline from multiple data sources
  • Transformation of data with simple functions that are event-triggered
  • Data processing by choosing the best tools and services for the use case
  • Options for analyzing the processed data
  • Best practices for deployment and operations

Audience

  • Solution Architect
  • Data Architects
  • Big Data Developer
  • Data Analyst

Public Program Schedule

Course Name Duration Brochure Location Schedule Enroll
There is no upcoming Public Batch Schedule, you can ask for Private Batch or for On-Demand Learning

Download the syllabus

Download

The highest standard, The happiest learners

Our Enterprise Clients

FAQ

  • Why should I choose RPS?
  • I am working, is it possible to arrange the classes on weekends?
  • Please confirm if your office is open on weekends?
  • Can I get the courseware in advance before start of training?
  • What are the timings (class hours)?
  • How can I make the payment?
  • What is the mode of payment?
  • Candidate authorized RPS to charge $200. But the bank has charged $208. Why is this?
  • If we need training on one of the modules only how does that work?
  • How long before do we need to book the exams?
  • Where are your training centers available?
  • Can I pay the fee in installments?
  • What are the refund policies? Can i get my money back in case i am unable to attend the training?
  • Do you provide a bank loan facility?
  • 10+ years of Training Expertise
  • Certified instructors with industry standard experience
  • Tailor made training available
  • 6+ training Locations
  • 100000 + professional trained
  • Customer Satisfaction
  • Reliable and Most cost effective Training

Yes, we do offer weekend classes for professionals in group or 1-to-1 Training depending upon the technology.

The administrative and sales staff works on weekdays (Monday - Friday). System Admins and Operation team are available on all days.

Yes, after you have paid the booking amount (which will be non–refundable in this case). Booking amount depends on the technology selected.

Training timings are from 9 am to 5 pm.

You can send the deposit by any of the following methods:-

  • PayPal
  • Credit Card
  • Bank Transfer
  • Demand Draft
  • Cash
  • Purchase Order (in case of Corporates / Government).
  • If you are an International student, the registration amount of USD 200 can be paid by Bank Transfer or PayPal/PayUMoney . The balance amount has to be paid by traveler's cheque or cash after arrival in India. You can also pay the balance by PayPal. There is a surcharge of 4% in this case.
  • For Indian Resident students, the course fees including registration can be paid by Cash, Cheque, Demand Draft or Bank transfer.To Know more Please call +919883305050 or Email us at info@rpsconsulting.in for any of your queries.

Overseas credit card payments through PayPal involve a mark-up of up to 4% as surcharge.

We can provide customized 1-to-1 training for a technology as per your requirement.

Most exams can be booked once you are on the course (e.g. Microsoft, ITIL, VEEAM, EC-Council). Red Hat and some other exams have to be booked in advance.

Our training centers are available in Bangalore, Chennai, Hyderabad, Pune and Delhi.

We do not have facility to pay in installments

If the course fee has been paid for and RPS cancels the Course, a refund will be provided, else the courses are non-refundable.

We do not provide loan facility.

Other Related Courses

Related courses will be updated soon...