logo
Courses
    logo
  • Courses
  • Corporate Training
  • Testimonials
logo

Address

Suite 610 - The Business Center, Opp to Burjuman Centre, Adjacent to Burjuman Metro Station Exit 4, Khalid Bin Walid Street. P.O.Box: 94743 Dubai, UAE

Quick Links

  • About Us
  • Blog
  • Corporate Training
  • Contact Us
  • LP Talks
  • Student Login
  • Privacy Policy
  • Terms and Conditions
  • Refund Policy
  • Pay Now

Contact us

  • info@learnerspoint.org
  • +971 (04) 4038000
  • 800SKILL(75455)
  • +1 347 637 6133
  • +44 20 4524 4199
  • +966112036111
  • +91 97462 22034
  • +971566335515

Stay connected

Privacy Policy

Big Data on AWS Training

Master Amazon EMR, Redshift, and Kinesis

Hands-on projects with live AWS environments

Skills to build solutions across various sectors

Training led by seasoned AWS professionals

40-hour training

Flexible learning options

Easy & convenient payment options

4.8/5

6208 Enrolled

course-img

Overview

What our training includes

  • Prepares for Big Data roles with AWS in Dubai
  • Provides hands-on training with AWS tools like EMR and Redshift
  • Develops skills to build and manage Big Data environments
  • Equips with practical data processing and analysis techniques
  • Teaches secure, cost-effective Big Data practices
  • Certified AWS Big Data skills for better job prospects
  • Positions as a key asset with cutting-edge cloud expertise

Learning Objectives

Upon completing the course, you will be able to:

  • 1

    Gain knowledge on fundamentals of AWS services for Big Data solutions

  • 2

    Understand the scope of Big Data on AWS

  • 3

    Choose appropriate AWS data storage options

  • 4

    Perform Big Data solutions on the AWS cloud platform

  • 5

    Comprehend and create Big Data environments

  • objective-image

    Ready to get started?

  • Prerequisites

    The eligibility requirements for this course are as follows:

    • Either a high school diploma or an undergraduate degree
    • Participants in this AWS Data Analytics certification course should be reasonably familiar with big data and Hadoop principles as well as have a solid understanding of the technical foundations of AWS
    • For working professionals, a minimum of two years is required or else five years of experience is required in the data analytics field

    Overall ratings by our students

    Upcoming sessions

    Our Trainers

    We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

    Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction & ethics.

    Our Trainers

    Learners Point Certificate

    Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

    Certifcate-Image0

    KHDA Certificate

    Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

    Certifcate-Image1

    Related courses

    Curriculum

    • The prerequisite for learners is either a high school diploma or an undergraduate degree
    • Participants in this AWS Data Analytics certification course should be reasonably familiar with big data and Hadoop principles as well as have a solid understanding of the technical foundations of AWS
    • For working professionals, a minimum of two years is required or else five years of experience is required in the data analytics field
    • Overview of Big Data, Apache Hadoop, and the Benefits of Amazon EMR
    • Amazon EMR Architecture
    • Using Amazon EMR
    • Launching and Using an Amazon EMR Cluster
    • Hadoop Programming Frameworks
    • Using Hive for Advertising Analytics
    • Using Streaming for Life Sciences Analytics
    • Overview: Spark and Shark for In-Memory Analytics
    • Using Spark and Shark for In-Memory Analytics
    • Managing Amazon EMR Costs
    • Overview of Amazon EMR Security
    • Data Ingestion, Transfer, and Compression
    • Using Amazon Kinesis for Real-Time Big Data Processing
    • Using Amazon Kinesis and Amazon EMR to Stream and Process Big Data
    • AWS Data Storage Options
    • Using DynamoDB with Amazon EMR
    • Overview: Amazon Redshift and Big Data
    • Using Amazon Redshift for Big Data
    • Visualizing and Orchestrating Big Data
    • Using Tableau Desktop or Jaspersoft BI to Visualize Big Data

    Frequently asked questions

    With the rising demand for Big Data and AWS in today’s business world, it is always a great career choice. This domain offers ample job opportunities for professionals with the right skillset. With nearly every industry at its peak of major digital transformation assures a promising future for a career in Big Data on AWS.

    With technological advancements in the UAE, Dubai is now becoming the hub for tech savvies. Professionals with significant experience in software development and some knowledge of the AWS platform can bring their careers one level up. The demand for Big Data AWS skilled professionals is all set to rise at an impressive rate in the UAE making it the ideal location for a futuristic career.

    Recent reports show that the companies are better equipped for setting up future goals to employ professionals who are capable of offering Big Data solutions efficiently and effectively. The Big Data on AWS course in Dubai enhances one’s knowledge of Big Data and AWS enabling him/her to build resilient big data solutions on the AWS cloud platform. This training also elevates one’s professional value and makes him/her stand out in today’s competitive world.

    The potential for Big Data on AWS is huge in the future as it is now widely used for a variety of technologies and industries. Due to its complexity, professionals are to be trained by industry experts to master this field. The Big Data on AWS course trains participants to work on the AWS Big Data platform to process data and create Big Data environments and also gain essential data analytical skills to have a promising future.

    The Big Data on AWS course in Dubai is a perfect fit for anyone interested in learning about big data solutions on AWS. It is ideal for:

    1. Solutions Architects
    2. SysOps Administrators
    3. Data Scientists
    4. Data Analysts

    Yes, to understand the concepts better, we do recommend participants to possess the following knowledge before enrolling for the Big Data on AWS course.

    1. Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
    2. Prior experience in Data Analytics Fundamentals
    3. Working knowledge of core AWS services and public cloud implementation
    4. Basic understanding of data warehousing, relational database systems, and database design

    The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.

    At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.

    Do you want to learn more about Learners Point Academy?

    • Learn more about courses
    • Understand about our methodology
    • Let’s talk about Corporate trainings
    • Anything else that you want to know, we are here for you!

    Let's chat!

    • Afghanistan+93
    • Albania+355
    • Algeria+213
    • Andorra+376
    • Angola+244
    • Antigua and Barbuda+1268
    • Argentina+54
    • Armenia+374
    • Aruba+297
    • Australia+61
    • Austria+43
    • Azerbaijan+994
    • Bahamas+1242
    • Bahrain+973
    • Bangladesh+880
    • Barbados+1246
    • Belarus+375
    • Belgium+32
    • Belize+501
    • Benin+229
    • Bhutan+975
    • Bolivia+591
    • Bosnia and Herzegovina+387
    • Botswana+267
    • Brazil+55
    • British Indian Ocean Territory+246
    • Brunei+673
    • Bulgaria+359
    • Burkina Faso+226
    • Burundi+257
    • Cambodia+855
    • Cameroon+237
    • Canada+1
    • Cape Verde+238
    • Caribbean Netherlands+599
    • Cayman Islands+1
    • Central African Republic+236
    • Chad+235
    • Chile+56
    • China+86
    • Colombia+57
    • Comoros+269
    • Congo+243
    • Congo+242
    • Costa Rica+506
    • Côte d'Ivoire+225
    • Croatia+385
    • Cuba+53
    • Curaçao+599
    • Cyprus+357
    • Czech Republic+420
    • Denmark+45
    • Djibouti+253
    • Dominica+1767
    • Dominican Republic+1
    • Ecuador+593
    • Egypt+20
    • El Salvador+503
    • Equatorial Guinea+240
    • Eritrea+291
    • Estonia+372
    • Ethiopia+251
    • Fiji+679
    • Finland+358
    • France+33
    • French Guiana+594
    • French Polynesia+689
    • Gabon+241
    • Gambia+220
    • Georgia+995
    • Germany+49
    • Ghana+233
    • Greece+30
    • Greenland+299
    • Grenada+1473
    • Guadeloupe+590
    • Guam+1671
    • Guatemala+502
    • Guinea+224
    • Guinea-Bissau+245
    • Guyana+592
    • Haiti+509
    • Honduras+504
    • Hong Kong+852
    • Hungary+36
    • Iceland+354
    • India+91
    • Indonesia+62
    • Iran+98
    • Iraq+964
    • Ireland+353
    • Israel+972
    • Italy+39
    • Jamaica+1876
    • Japan+81
    • Jordan+962
    • Kazakhstan+7
    • Kenya+254
    • Kiribati+686
    • Kosovo+383
    • Kuwait+965
    • Kyrgyzstan+996
    • Laos+856
    • Latvia+371
    • Lebanon+961
    • Lesotho+266
    • Liberia+231
    • Libya+218
    • Liechtenstein+423
    • Lithuania+370
    • Luxembourg+352
    • Macau+853
    • Macedonia+389
    • Madagascar+261
    • Malawi+265
    • Malaysia+60
    • Maldives+960
    • Mali+223
    • Malta+356
    • Marshall Islands+692
    • Martinique+596
    • Mauritania+222
    • Mauritius+230
    • Mexico+52
    • Micronesia+691
    • Moldova+373
    • Monaco+377
    • Mongolia+976
    • Montenegro+382
    • Morocco+212
    • Mozambique+258
    • Myanmar+95
    • Namibia+264
    • Nauru+674
    • Nepal+977
    • Netherlands+31
    • New Caledonia+687
    • New Zealand+64
    • Nicaragua+505
    • Niger+227
    • Nigeria+234
    • North Korea+850
    • Norway+47
    • Oman+968
    • Pakistan+92
    • Palau+680
    • Palestine+970
    • Panama+507
    • Papua New Guinea+675
    • Paraguay+595
    • Peru+51
    • Philippines+63
    • Poland+48
    • Portugal+351
    • Puerto Rico+1
    • Qatar+974
    • Réunion+262
    • Romania+40
    • Russia+7
    • Rwanda+250
    • Saint Kitts and Nevis+1869
    • Saint Lucia+1758
    • Saint Vincent and the Grenadines+1784
    • Samoa+685
    • San Marino+378
    • São Tomé and Príncipe+239
    • Saudi Arabia+966
    • Senegal+221
    • Serbia+381
    • Seychelles+248
    • Sierra Leone+232
    • Singapore+65
    • Slovakia+421
    • Slovenia+386
    • Solomon Islands+677
    • Somalia+252
    • South Africa+27
    • South Korea+82
    • South Sudan+211
    • Spain+34
    • Sri Lanka+94
    • Sudan+249
    • Suriname+597
    • Swaziland+268
    • Sweden+46
    • Switzerland+41
    • Syria+963
    • Taiwan+886
    • Tajikistan+992
    • Tanzania+255
    • Thailand+66
    • Timor-Leste+670
    • Togo+228
    • Tonga+676
    • Trinidad and Tobago+1868
    • Tunisia+216
    • Turkey+90
    • Turkmenistan+993
    • Tuvalu+688
    • Uganda+256
    • Ukraine+380
    • United Arab Emirates+971
    • United Kingdom+44
    • United States+1
    • Uruguay+598
    • Uzbekistan+998
    • Vanuatu+678
    • Vatican City+39
    • Venezuela+58
    • Vietnam+84
    • Yemen+967
    • Zambia+260
    • Zimbabwe+263

    Learn now, pay later

    Dive into your course now and pay in installments