Building Batch Data Analytics Solutions on AWS Course in Bahrain
Design batch data analytics solutions using Amazon EMR & Spark
8 hours of course duration
Includes nine extensive & well-structured modules
Grasp in-demand skills for data engineering roles
Receive guided sessions from expert instructors
Learn through practice labs and interactive demos
Easy-to-fit weekend sessions for your hectic calendar
Convenient payment options with monthly instalments
4.9/55825 EnrolledEnrolled Learners
4.9/55825 EnrolledEnrolled Learners
Overview
What will you learn from us:
- Build scalable batch data processing systems using Amazon EMR
- Discover data ingestion techniques with tools such as Apache Hive & HBase
- Enhance data storage efficiency & management across Amazon EMR clusters
- Leverage Apache Spark on EMR to process & analyze large datasets
- Utilize Apache Hive to transform & manage batch data workflows
- Attain hands-on experience developing machine learning models with EMR Notebooks
- Apply essential security measures to safeguard Amazon EMR environments
Upcoming sessions
Curriculum
1
Data analytics use cases
2
Using the data pipeline for analytics
1
Using Amazon EMR in analytics solutions
2
Amazon EMR cluster architecture
3
Interactive Demo 1: Launching an Amazon EMR cluster
4
Cost management strategies
1
Storage optimization with Amazon EMR
2
Data ingestion techniques
1
Apache Spark on Amazon EMR use cases
2
Why Apache Spark on Amazon EMR
3
Spark concepts
4
Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell
5
Transformation, processing, and analytics
6
Using notebooks with Amazon EMR
7
Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR
1
Using Amazon EMR with Hive to process batch data
2
Transformation, processing, and analytics
3
Practice Lab 2: Batch data processing using Amazon EMR with Hive
4
Introduction to Apache HBase on Amazon EMR
1
Serverless data processing, transformation, and analytics
2
Using AWS Glue with Amazon EMR workloads
3
Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions
1
Securing EMR clusters
2
Interactive Demo 3: Client-side encryption with EMRFS
3
Monitoring and troubleshooting Amazon EMR clusters
4
Demo: Reviewing Apache Spark cluster history
1
Batch data analytics use cases
2
Activity: Designing a batch data analytics workflow
1
Modern data architectures
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
After completion of this course, you will be able to:
1
Design & build batch analytics solutions using Amazon EMR & Apache Spark
2
Automate complex workflows efficiently with AWS Step Functions
3
Improve security, speed, & cost-efficiency in EMR environments
4
Use Apache Hive, HBase, & AWS Glue for seamless data processing
5
Optimise storage & improve cluster performance in Amazon EMR
6
Get hands-on with Spark & Hadoop for real-time data insights
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
Prerequisites
To enrol in this Building Batch Data Analytics Solutions on AWS Course, candidates must fulfil these eligibility requirements:
- A minimum one-year experience in managing open-source data frameworks such as Apache Spark or Apache Hadoop
- Completed either AWS Technical Essentials or Architecting on AWS
- Completed either Building Data Lakes on AWS or Getting Started with AWS Glue
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Frequently asked questions
The Building Batch Data Analytics Solutions on AWS course in Bahrain is all about teaching professionals how to process and manage large datasets using AWS. You learn tools like Amazon EMR, Apache Spark, Hive, and HBase. You practice building scalable data pipelines, automate workflows with AWS Step Functions, and apply useful techniques to improve performance, security, and cost-efficiency. This is practical-based and prepares you for data roles in cloud environments.
The following are the eligibility requirements to enroll in this training -
- A minimum of one year of experience in managing open-source data frameworks such as Apache Spark or Apache Hadoop
- Completed either AWS Technical Essentials or Architecting on AWS
- Completed either Building Data Lakes on AWS or Getting Started with AWS Glue
In this course, professionals practice working with tools widely used in batch data processing, like -
- Amazon EMR
- Apache Spark and Apache Hive
- HBase and AWS Glue
- AWS Step Functions
- EMR Notebooks for ML workflows
Our Building Batch Data Analytics Solutions on AWS course in Bahrain introduces machine learning to professionals through practice with using EMR Notebooks. You learn to build simple models and explore how EMR supports ML workflows.
After earning the Building Batch Data Analytics Solutions on AWS Certification, professionals are qualified to apply for in-demand roles like -
- Data Engineer
- Big Data Analyst
- Cloud Solutions Architect
- Data Operations Specialist
- Machine Learning Support Engineer
We offer a flexible schedule that includes weekend or part-time learning options, making it easier for professionals to attend without disrupting their jobs. The blended learning model also helps reinforce hands-on skills at your own pace.
Yes, this Building Batch Data Analytics Solutions on AWS Course is a great next step. You learn to work with Apache Spark, Hadoop, and Amazon EMR, which are key tools in real-world data engineering. You also gain hands-on experience with EMR Notebooks and Hive, preparing you for more advanced roles in Bahrain's tech industry.
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