Course information

Building Data Lakes on AWS Training Course Outline

Module 1: Introduction to Data Lakes

  • 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

Module 2: Data ingestion, Cataloguing, and Preparation

  • 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
  • Lab 1: Set Up a Simple Data Lake

Module 3: Data Processing and Analytics

  • 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

Module 4: 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

Module 5: Additional Lake Formation Configurations

  • Automate AWS Lake Formation Using Blueprints and Workflows
  • Apply Security and Access Controls to AWS Lake Formation
  • Visualise Data with Amazon QuickSight
  • Lab 3: Automate Data Lake Creation Using AWS Lake Formation Blueprints
  • Lab 4: Data Visualisation Using Amazon QuickSight

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Who should attend this Building Data Lakes on AWS Training Course?

The Building Data Lakes on AWS Course is designed for a wide range of professionals who are involved in designing, building, and managing data lakes on the AWS cloud platform. The following professionals can greatly benefit from attending this course:

  • Data Engineers
  • Database Administrators
  • Data Analysts
  • Data Scientists
  • Solution Architects
  • DevOps Engineers
  • Business Intelligence Professionals

Prerequisites of the Building Data Lakes on AWS Builders Training Course

Before attending this Building Data Lakes on AWS Course, delegates should have completed AWS Technical Essentials Training.

Building Data Lakes on AWS Training Course Overview

Data Lakes on AWS provide a scalable and cost-effective solution for storing vast amounts of structured and unstructured data. They enable organisations to consolidate data from various sources, facilitating advanced analytics and real-time insights. In today's data-driven landscape, building efficient data lakes is essential for businesses seeking to harness the power of big data and drive innovation through informed decision-making.

This course is particularly beneficial for data engineers, data analysts, business intelligence professionals, and IT architects. It is also ideal for anyone involved in managing data infrastructure, including database administrators and cloud solutions architects, who want to enhance their knowledge of data lake architectures and AWS services.

This 1-day course by The Knowledge Academy equips professionals with the necessary skills to design and implement data lakes on the AWS platform. Delegate will learn to leverage AWS tools and services to store, manage, and analyse data effectively, empowering them to transform their organisations’ data strategies and improve operational efficiency.

Course Objectives

  • To understand the fundamentals of data lakes and their architecture
  • To explore AWS services for building and managing data lakes
  • To implement data ingestion and storage solutions
  • To apply data governance and security best practices
  • To perform analytics on data stored in data lakes
  • To troubleshoot common issues related to data lakes

Upon completion of the course, delegates will possess the skills to design and implement robust data lake solutions on AWS, enabling their organisations to derive actionable insights from data and stay competitive in an increasingly data-centric world.

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What’s included in this Building Data Lakes on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Building Data Lakes on AWS Certificate
  • Digital Delegate Pack

Why choose us

Our Stuttgart venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Stuttgart is the largest and capital city of the German state of Baden-Württemberg. It is located in the Southwest of Germany and is the sixth largest city in the country. It has a population of approximately over 600,000 people; when combined with the Stuttgart Metropolitan Region, the population number increases to about 5.3 citizens. Education in Stuttgart is governed by the German state and education is compulsory for children up to the age 18. The educational system in Stuttgart is divided into four levels: Kindergarten Education, Elementary Education, Secondary Education, and Higher Education (tertiary education).

Stuttgart is not considered a traditional university city but provides a variety of Higher Education institutes including: University of Stuttgart founded in 1829 and is the fourth biggest university in Baden-Württemberg. University of Hohenheim which was established in 1818 and specialises in Agricultural Science and Forestry. The State Academy of Visual Arts Stuttgart was founded in 1961 and is the biggest art colleges across Germany.

The city is known for its German thought and literature figures including Georg Wilhelm Friedrich Hegel, Friedrich Schiller and Friedrich Hölderlin. Stuttgart is home to six of Germany's second-highest number of institutions of applied research of the Fraunhofer Society.

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Address

Offisto GmbH
Steiermärker Str. 3-5
70469
Stuttgart-Feuerbach
Germany

T: +49 8000101090

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Building Data Lakes On AWS Training | AWS Training in Stuttgart. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Building Data Lakes On AWS Training | AWS Training in Stuttgart, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Building Data Lakes On AWS Training | AWS Training in Stuttgart. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Building Data Lakes On AWS Training | AWS Training in Stuttgart sessions.

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Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Building Data Lakes On AWS Training | AWS Training in Stuttgart FAQs

Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services to different corporations on a pay per use basis. It provides a hypothetical technical infrastructure with distributed computing building blocks, tools, and services.
AWS Lake Formation is a fully managed service that simplifies the process of building, securing, and managing data lakes. It helps users ingest, catalog, clean, and secure data from various sources, enabling efficient data access and analytics across AWS services.
When building a data lake system in AWS, services such as Amazon S3 for storage, AWS Glue for data cataloging and ETL, Amazon Athena for querying, Amazon Kinesis for real-time data processing, and Amazon Redshift for analytics can be utilised.
The prerequisites for this course include a basic understanding of AWS services, familiarity with data storage concepts, and some experience with data analytics or programming, which will enhance your learning experience.
This course is ideal for data engineers, data analysts, cloud architects, and IT professionals interested in learning how to design, implement, and manage data lakes effectively using AWS services.
Attending this Building Data Lakes on AWS training course will give you elaborated information about visualising data with Amazon QuickSight, applying security and access controls to AWS Lake Formation, etc. They will also learn about automating AWS Lake Formation using blueprints and workflows, recognise how data processing applies to a data lake, and many other related topics.
Yes, The Knowledge Academy offers 24/7 support via phone & email before attending, during, and after the course. Our customer support team is available to assist and promptly resolve any issues you may encounter.
In this training course, delegates will have intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
This course takes 1-day to complete during which delegates participate in intensive learning sessions that cover various course topics.
You should receive the confirmation details for the Copywriting Course within 24-48 hours after registration. If you haven't received it by then, please check your spam folder or contact our support team for assistance.
To attend the Building Data Lakes on AWS Certification, you should have a foundational understanding of AWS services, basic knowledge of data storage concepts, familiarity with data analytics, and a general grasp of programming or scripting languages to enhance your learning experience.
Yes, industries such as finance, healthcare, retail, and technology, as well as job roles like data engineers, data analysts, business intelligence developers, and cloud architects, can particularly benefit from the Building Data Lakes on AWS Certification.
Yes, the certification is suitable for individuals at various career stages, including beginners, intermediate professionals, and advanced practitioners, as it covers fundamental concepts and advanced techniques in data lake architecture and management.
While prior experience with AWS services and data analytics is beneficial, it is not strictly required to take the Building Data Lakes on AWS Training Course. A basic understanding of cloud concepts will enhance your learning experience.
The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.
Yes, we provide corporate training for this course, tailored to fit your organisation’s requirements.
If you are unable to access your Building Data Lakes On AWS Training in Stuttgart, contact the support team at The Knowledge Academy via their customer service email or phone number provided on their website for prompt assistance and resolution of your issue.
Yes, the Building Data Lakes on AWS Training Course includes practical components and hands-on activities, allowing delegates to gain real-world experience in designing, implementing, and managing data lakes using various AWS services.
The Knowledge Academy in Stuttgart stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this course.
The training fees for Building Data Lakes on AWS Trainingin Stuttgart starts from €895
The Knowledge Academy is the Leading global training provider for Building Data Lakes on AWS Training.
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