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In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS L

Explore this Global Knowledge course and ask the Bolt team for the detailed syllabus.

Explore this Global Knowledge course and ask the Bolt team for the detailed syllabus.

In this course, you will learn to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data stre

CompTIA Data+ is an early-career data analytics certification that shows you have the practical skills to turn raw data into meaningful insights. The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to t

The CompTIA DataAI exam was developed to meet an industry need, and bridge gaps in training and knowledge for data science professionals. The exam objectives include real-world scenarios where learners apply their knowledge, ensuring they are prepare

Learn how to build, customise, manage, and deploy AI-powered agents using Microsoft Copilot Studio, leveraging topics, entities, variables, Power Automate, and generative AI capabilities. In this course, you will learn how to create custom copilots

Master the principles of data architecture and design scalable, efficient data models for real-world applications. Data Architecture is designed to provide you with a in-depth understanding of the principles and responsibilities of data architecture

This comprehensive course provides a deep dive into data engineering practices and solutions on Amazon Web Services (AWS). Participants will learn how to design, build, optimize, and secure data engineering solutions by using AWS services. Topics ran

Explore this Global Knowledge course and ask the Bolt team for the detailed syllabus.

Explore this Global Knowledge course and ask the Bolt team for the detailed syllabus.

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift. This course demonstrates how to ingest, store, and transform data in the data warehouse. Topics covered include: the purpose of Amazon Redshift, how Amazon Redshift addresses business and technical challenges, features and capabilities of Amazon Redshift, designing a Data Warehousing Solution on AWS by applying best practices based on the Well-Architected Framework, integration with AWS and non-AWS products and services, performance tuning, orchestration, and securing and monitoring Amazon Redshift. Course level: Advanced Duration: 3 days Activities This course includes presentations, hands-on labs, and demonstrations. Virtual Learning This interactive training can be taken from any location, your office or home and is delivered by a trainer. This training does not have any delegates in the class with the instructor, since all delegates are virtually connected. Virtual delegates do not travel to this course, Global Knowledge will send you all the information needed before the start of the course and you can test the logins.