Big Data on AWS Learners Point Training Institute

OVERVIEW: Amazon Web Services allows companies to automate their business processes with cloud technology. Big Data on AWS offers professionals practical hands-on experience in the use of Amazon Web Services to handle big data. During this course, you will learn how to create big data environments in the cloud using Amazon DynamoDB and Redshift, understand the value of Amazon Kinesis, and implement best practices to design big data environments for analysis, security, and cost-effectiveness.

CAREER OPPORTUNITIES:

Market Trends:
In today’s IT industry, AWS is one of the most successful clouding environments. According to Forbes, 83% of enterprise workloads will be in the Cloud and the market share of popular cloud service provider, Amazon Web Services Cloud stands at 50% in 2020. The job market for Amazon Web Services employees will only grow in the future with such promising prospects.

Salary Trends: Amazon Web Services (AWS) courses provide golden opportunities for many high-paying jobs. AWS – skilled data professionals often find jobs in the national and international job market with lucrative salaries. According to , the estimated average salary for Big Data specialists in the United Arab Emirates can go as high as AED 342,000 per annum.

Demand and Opportunities: As more companies integrate multiple technologies to boost their business operations, Big Data is gaining significance on AWS. As the demand for more professionals in AWS technology increases, so does the value of AWS professionals’ career prospects. More companies are adopting AWS cloud computing services, so the need for AWS skilled professionals is increasing at an explosive rate.

COURSE OUTLINE:
  • 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
KEY TAKEAWAY:

Successful completion of this course will enable a candidate to:
  • Gain in-depth knowledge on AWS solutions for Big Data
  • Fit AWS solutions inside a Big Data ecosystem
  • Leverage Apache Hadoop in the context of Amazon EMR
  • Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
  • Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming
ACCREDITATION:

Our Big Data on AWS course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

As the top providers of Big Data on AWS courses, we are well-versed in teaching the skills and knowledge required.
The following are the key benefits of our Big Data on AWS course:
  • Our Big Data on AWS course is designed based on real-world scenarios, formulating and evaluating practical requirements
  • Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
  • We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
  • To enhance the learning experience of our students we provide organized group sessions and integrated training modules
  • Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations

This course is no longer available.

Big Data on AWS Learners Point Training Institute
Price: USD 953
Instructor led live virtual classroom online. Classes may be individual or in group.
  • Duration: 35 Hours

Course details

OVERVIEW: Amazon Web Services allows companies to automate their business processes with cloud technology. Big Data on AWS offers professionals practical hands-on experience in the use of Amazon Web Services to handle big data. During this course, you will learn how to create big data environments in the cloud using Amazon DynamoDB and Redshift, understand the value of Amazon Kinesis, and implement best practices to design big data environments for analysis, security, and cost-effectiveness.

CAREER OPPORTUNITIES:

Market Trends:
In today’s IT industry, AWS is one of the most successful clouding environments. According to Forbes, 83% of enterprise workloads will be in the Cloud and the market share of popular cloud service provider, Amazon Web Services Cloud stands at 50% in 2020. The job market for Amazon Web Services employees will only grow in the future with such promising prospects.

Salary Trends: Amazon Web Services (AWS) courses provide golden opportunities for many high-paying jobs. AWS – skilled data professionals often find jobs in the national and international job market with lucrative salaries. According to , the estimated average salary for Big Data specialists in the United Arab Emirates can go as high as AED 342,000 per annum.

Demand and Opportunities: As more companies integrate multiple technologies to boost their business operations, Big Data is gaining significance on AWS. As the demand for more professionals in AWS technology increases, so does the value of AWS professionals’ career prospects. More companies are adopting AWS cloud computing services, so the need for AWS skilled professionals is increasing at an explosive rate.

COURSE OUTLINE:
  • 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
KEY TAKEAWAY:

Successful completion of this course will enable a candidate to:
  • Gain in-depth knowledge on AWS solutions for Big Data
  • Fit AWS solutions inside a Big Data ecosystem
  • Leverage Apache Hadoop in the context of Amazon EMR
  • Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
  • Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming
ACCREDITATION:

Our Big Data on AWS course is accredited by ISO 9001: 2015 and the Knowledge and Human Development Authority (KHDA).

ALUMNI: Our academy graduates are successfully placed in some of the top-notch companies in Dubai like Jumeirah, Aramex, Airarabia, Damac, Emaar, etc. They are entrepreneurs, career changers, and lifelong learners.

WHY LEARNER’S POINT:

As the top providers of Big Data on AWS courses, we are well-versed in teaching the skills and knowledge required.
The following are the key benefits of our Big Data on AWS course:
  • Our Big Data on AWS course is designed based on real-world scenarios, formulating and evaluating practical requirements
  • Our courses strive to provide a reality check and insight into the requirements of a challenging role and how to fulfill it
  • We also provide live interactive sessions and hands-on experience through assignments associated with the actual work environment
  • To enhance the learning experience of our students we provide organized group sessions and integrated training modules
  • Our discrete approach to career guidance enables our students to get successfully placed in renowned organizations
Updated on 22 August, 2024

Eligibility / Requirements

ELIGIBILITY: This course is for professionals who want to perform complex Big Data Analysis. The qualifications required to enroll in this course are:

  • Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
  • Completed Data Analytics Fundamentals training or equivalent experience
  • Working knowledge of core AWS services and public cloud implementation
  • Completed the AWS Technical Essentials training or equivalent experience

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