Building Data Lakes on AWS Course in Oman

Intermediate-level training from AWS

7 specialised modules with real-time projects

Use AWS Lake Formation to build a data lake

Learn with course lectures & hands-on labs

Gain access to high-quality study materials

Expert-guided preparation with mock exams

Pay with easy instalments

Flexible training available

4.8/5

5057 Enrolled

Overview

What our training includes:

Identify the fundamental components that make up a data lake
Learn typical architectural patterns for data lake solutions
Gather and organise data efficiently using AWS Glue
Create detailed data catalogues via AWS Glue crawlers
Process large-scale data sets with AWS Lake Formation
Use Amazon Athena to run data queries on lakes
Set up detailed permissions and tag-driven access controls

Learning Outcomes

After completion of this training, you will be able to:

Grasp the significance and benefits of developing data lakes

Distinguish between data lakes and traditional data warehouses

Use AWS Glue crawlers to build structured data catalogues

Perform data analysis in data lakes using Amazon Athena

Develop secure & scalable data lakes with AWS Lake formation

Apply detailed access controls using Lake Formation capabilities

Design and distribute data products through Lake Formation tools

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Prerequisites

Before enrolling in the Building Data Lakes on AWS in Oman, the eligibility requirements are as follows:

Completed the AWS Technical Essentials classroom course
One year of experience building data analytics pipelines, or have completed the Data Analytics Fundamentals digital course

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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.

Learners Point Certificate

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

Related courses

Curriculum

Describe the value of data lakes
Compare data lakes and data warehouses
Describe the components of a data lake
Recognise common architectures built on data lakes

Describe the relationship between data lake storage and data ingestion
Describe AWS Glue crawlers and how they are used to create a data catalogue
Identify data formatting, partitioning, and compression for efficient storage and query

Recognise how data processing applies to a data lake
Use AWS Glue to process data within a data lake
Describe how to use Amazon Athena to analyse data in a data lake
Lab 01: Building a Data Lake with AWS Lake Formation

Describe the features and benefits of AWS Lake Formation
Use AWS Lake Formation to create a data lake
Understand the AWS Lake Formation security model
Lab 2: Build a data lake using AWS Lake Formation

Explain the available built-in Blueprints to create and populate a new Lake Formation Describe methods for applying advanced permissions to secure data access and workflow. Describe fine-grained row/cell access control Explain the Lake Formation Tag-based access control mechanism and the different use cases for Named access control vs. Tag-based access control Describe access flow that enforces fine-grained access policies to both catalogue metadata and underlying data resources for analytics services connecting to Lake Formation

Explain capabilities of a modern data architecture: Scalable data lakes, Purpose-build analytics services, Seamless data movement, unified governance, and performance and cost-effectiveness
Articulate the typical data movement within a modern data architecture: Inside out, Outside in, Around the perimeter, and Sharing across
Describe the focus of building and maintaining data products as a service
Describe a typical Data Mesh architecture using Lake Formation and the key enablers supporting this methodology
Lab 3: Building and publishing a data product in Lake Formation

Post-course knowledge check
Architecture review
Course review

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Frequently asked questions

Building Data Lakes on AWS in Oman is an intermediate-level training program which helps professionals with practical skills needed to build and manage scalable data lakes using Amazon Web Services (AWS). In this program, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data.

Through our Data Lake training, you will learn several essential AWS services. Some of these are:

1. Amazon S3
2. AWS Glue
3. Lake Formation
4. Amazon Athena

AWS Lake Formation is one of the essential AWS services which deals with Data Lake management. You will learn about it in the Building Data Lakes on AWS training in Oman. It is used to simplify the process of setting up, securing and managing a data lake. It also helps to automate data ingestion and manage metadata.

Yes, our Data Lakes on AWS training is available in locations across GCC regions. We offer comprehensive instruction and training globally, which helps students to gain this important certification. These locations include:

If you enrol in our course in Data Lake in Oman, you will gain numerous technical and analytical skills that are highly valued in today’s data-driven industries. These skills are as follows:

1. Data Lake architecture and design
2. AWS data services proficiency
3. Data ingestion and cataloguing skills
4. Data preparation and transformation
5. Data querying and analytical skills

Our Data Lakes course in Oman covers multiple methods of ingesting both batch and streaming data into a data lake on AWS. You will learn how to use managed services and tools to seamlessly bring data from diverse sources into Amazon S3 for storage and processing. Some of the key methods include:

Batch ingestion using AWS Glue, AWS Data Pipeline, and AWS Data Migration Service (DMS)
Streaming ingestion with Amazon Kinesis Data Streams and Kinesis Data Firehose
Event-driven ingestion powered by AWS Lambda and Amazon S3 event notifications
Direct transfers from on-premises or databases using AWS Snowball and AWS DMS