Databricks Lakehouse Fundamentals: Building Data Foundations - Course Overview

We are pleased to welcome you to our Lakehouse Fundamentals Certification course, where we will take you on an immersive tour of the fundamentals of data management in a Lakehouse architecture. With the help of this extensive programme, we hope to provide you the knowledge and abilities you need to fully utilize data lakes and data warehouses. 

Learn the fundamental differences between data lakes and data warehouses, as well as how to effortlessly combine the two concepts to improve data management.  

Get certified today to advance your career as a knowledgeable Lakehouse Fundamentals specialist in the rapidly changing field of data management. 

After completing Lakehouse Fundamentals Course, students will be able to:

  • Learn about data Fundamental concepts.
  • Understand the fundamental concepts of data lakes and data warehouses.
  • Organize and manage data in a Lakehouse architecture effectively.
  • Leverage data insights to make informed business decisions and drive organizational growth.

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Key Features of Lakehouse Fundamentals Training

  • Comprehensive Curriculum: The Lakehouse Fundamentals Certification provides a comprehensive curriculum that covers all areas of data management in a Lakehouse architecture.
  • Data Ingestion Mastery: Participants will learn how to efficiently obtain and ingest heterogeneous data from a variety of sources, enabling smooth data acquisition.
  • Industry Relevance: Participants will be prepared for real-world challenges by the curriculum's alignment with industry trends and demands.
  • Career Advancement: Upon completion, individuals will have valuable skills that employers are looking for, improving their chances of landing a job in the data management industry.
  • Expert Instruction: The certification is offered by knowledgeable instructors with a strong background in Lakehouse concepts, who provide insightful advice.

Who can participate in the Databricks Lakehouse Fundamentals Certification Training

  • Data Engineers: Individuals who design and build data pipelines and storage systems inside a Lakehouse architecture.
  • Data Analysts: People who work with data to analyze it and generate insights, with the goal of leveraging the power of data lakes and data warehouses.
  • Data architects: Those responsible for planning an organization's whole data infrastructure and aiming to use Lakehouse ideas.
  • IT Managers and Decision Makers: Leaders that want to use Lakehouse architecture and grasp their advantages for their organization's data strategy include IT managers and decision makers.

What are the prerequisites for the Lakehouse Fundamentals Course?

  • The Lakehouse Fundamentals course has no prerequisites, but general IT expertise or knowledge may be beneficial.

Learning Objectives of Lakehouse Fundamentals: Building Data Foundations course

  • Understanding Lakehouse Concepts: Participants will understand the essential concepts of data lakes and data warehouses, including their benefits, distinctions, and how they may be effectively integrated.
  • Data Ingestion: Understand the process of obtaining and ingesting data from various sources into a Lakehouse environment, providing efficient and reliable data acquisition.
  • Data Integration: Investigate ways for integrating data lakes and data warehouses seamlessly, facilitating data sharing and cross-platform analytics.
  • Hands on Exercises: Participate in hands-on exercises to apply what you've learned, reinforcing learning with real-world circumstances.
  • Industry Best Practices: Learn about industry best practices in data management inside Lakehouse designs, ensuring data standards and norms are followed.

Why opt for CloudThat for Learning Lakehouse Fundamentals: Building Data Foundations?

  • Expert Instructors: CloudThat boasts a team of experienced and certified instructors who are subject matter experts in Lakehouse architectures and data management. They provide high-quality training and valuable insights derived from real-world experience.
  • Comprehensive Curriculum: The training program is designed to cover all key aspects of Lakehouse Fundamentals comprehensively, ensuring participants gain in-depth knowledge of data lakes, data warehouses, and their integration.
  • Hands-on Learning: CloudThat emphasizes practical, hands-on exercises and real-world case studies, allowing participants to apply their knowledge in simulated environments, gaining practical skills.
  • Industry Relevance: The curriculum is regularly updated to align with the latest industry trends, best practices, and emerging technologies, ensuring the training remains relevant and up to date
  • Flexibility: CloudThat offers a range of training formats, including in-person, virtual instructor-led training (VILT), and self-paced e-learning, allowing participants to choose the option that best suits their schedule and learning preferences.

Modules covered in Databricks Data Engineering Course Download Course Outline

  • Types of data and how its stored
  • Difference between OLAP and OLTP data concepts related to Databricks Medallion Architecture.
  • Microsoft Cloud services for Data engineering
  • Azure Blob Storage and Azure Data Lake Gen2 details about the lab activity: Streaming design patterns.
  • Azure Cosmos DB and its API’s

  • What is  Datalake, Datawarehouse.
  • Data Lakehouse
  • Need for Spark 
  • Introduction to Azure Databricks
  • Databricks Architecture
  • Apache Spark DataFrame
  • Data Science and Engineering workspace
  • Delta Lake

Certification

    • It will help you to gain fundamental understanding so that you can prepare yourself for “Databricks Accredited Lakehouse Platform Fundamentals” Certification offered by DataBricks.

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Course ID: 16514

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Frequently Asked Questions

Data lakes and data warehouses are combined in a lakehouse design. It offers the structure and performance of conventional data warehouses while maintaining the scalability and economics of data lakes. Contrary to data lakes, which frequently lack data quality standards and schema enforcement, Lakehouse designs impose schema-on-read and provide better data governance. Additionally, real-time data processing capabilities offered by Lakehouse designs make them better suited for analytical workloads than conventional data warehouses.

Your job will greatly benefit from the Lakehouse Fundamentals Certification since it will give you the necessary knowledge and abilities to manage data within Lakehouse architectures. Professionals with Lakehouse experience will be in high demand for data engineering, data analysis, and data governance roles as enterprises increasingly adopt these systems to handle massive volumes of diverse data.

The length of the Lakehouse Fundamentals course is of 1 Day. The course style offers flexibility to accommodate various schedules and preferences. These options include in-person instructor-led training, virtual instructor-led training (VILT), and self-paced e-learning.

Because of its emphasis on the unique Lakehouse architecture and its integration of data lakes and data warehouses, the Lakehouse Fundamentals Certification distinguishes itself from other data management certificates. Because of its specialism, it is extremely valuable in the age of big data and advanced analytics.

Yes, many Lakehouse Fundamentals courses include hands-on exercises to reinforce learning and apply knowledge in real-world scenarios.

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