Fast-Track to Data Engineering Excellence: Go from University to Pro in 6 Months!
info@bi-incloud.nl
Training to Azure Data Engineer & Databricks Professional
Online or Traditional Classroom
Our training method has been specially developed to educate our employees as data engineers and data scientists in the field of Azure. The formula is so successful that we will be offering this digitally or in a classroom setting to our clients.
Earn Microsoft & Databricks Certifications
Program that saves you time, money, and effort.
The training materials are developed by our in-house data architect and senior data engineers, who possess extensive and deep knowledge gained through their professional experience. The courses primarily focus on the ability to apply and solve real-world cases.
For each participant, the right path is charted, depending on their prior knowledge and organizational needs.
Big Data Fundamentals
Welcome to our Big Data Fundamentals training! In this comprehensive course, we'll embark on a journey to uncover the core concepts and technologies that underpin the world of Big Data.
Our mission is to equip you with a solid understanding of Big Data, its applications, and how to harness its potential. Here's a glimpse of what we'll explore:
1. Big Data Essentials: We'll start by defining Big Data and exploring why it's crucial in today's data-driven world.
2. Technological Landscape: Dive into the various technologies that make Big Data processing possible, including Hadoop, Spark, and NoSQL databases.
3. Data Lifecycle: We'll follow the data journey from ingestion and storage to processing, transformation, and analysis.
4. Querying and Visualization: Discover how to extract meaningful insights through querying and visualization techniques.
5. Security and Scalability: Learn the importance of securing Big Data and scaling solutions for performance.
6. Real-World Insights: Explore real-world use cases and case studies from diverse industries.
7. Emerging Trends: Stay ahead of the curve by examining future trends and innovations in the Big Data landscape.
8. Hands-On Experience: Get hands-on with practical exercises and labs, applying what you've learned.
9. Assessment and Certification: Test your knowledge with quizzes and earn a certification to validate your skills.
10. Expert Insights: Benefit from the wisdom of industry experts who will share their experiences.
We believe that understanding Big Data is not just a skill; it's a transformative force in today's digital age. Whether you're an aspiring data professional or simply curious about the world of Big Data, this course is designed to empower you with the knowledge and skills you need.
So, let's embark on this exciting journey together as we demystify Big Data and unleash its potential. Let's get started!
Databricks trainings
Welcome to the Databricks Engineer Professional Training program, where we'll equip you with the knowledge and skills required to excel as a Databricks engineer. This comprehensive training program covers a wide range of topics, ensuring you are well-prepared for the challenges and opportunities that come with managing data, analytics, and machine learning on the Databricks platform.
What is Databricks
Databricks is at the forefront of modern data engineering and data science. It provides a unified analytics platform that combines the power of Apache Spark with collaborative, cloud-based infrastructure. Databricks is revolutionizing the way organizations handle data, from ingestion and transformation to analytics and machine learning.
Why Databricks Engineer Professional Training?
This training program is designed to give you a deep understanding of Databricks, empowering you to leverage its capabilities effectively. Whether you're a data engineer, data scientist, or IT professional, this training will enable you to:
- Ingest, process, and transform data using Databricks.
- Build and deploy advanced analytics and machine learning models.
- Optimize performance and manage resources efficiently.
- Ensure data security and compliance.
- Solve real-world data engineering challenges.
Throughout this program, you'll find a balance of theoretical concepts, hands-on labs, and best practices. By the end of the course, you'll be well-prepared for the Databricks Engineer Professional certification and ready to apply your skills to real-world data engineering projects.
Let's embark on this exciting journey of mastering Databricks together. Are you ready to dive in? Let's get started!
Azure Trainings
Welcome to the Azure Data Engineering Training program! In this comprehensive course, we will embark on a journey through the world of data engineering on the Azure platform. Whether you are an aspiring data engineer or a seasoned professional looking to enhance your skills, this training will equip you with the knowledge and tools needed to design, build, and manage data solutions in Azure.
Module 1: Introduction to Azure Data Engineering provides an overview of Azure's data services and architecture, setting the foundation for our exploration of Azure's robust data capabilities.
Module 2: Data Storage Solutions delves into Azure's storage services, including Blob Storage and Data Lake Storage, and introduces you to Azure SQL Data Warehouse.
Module 3: Data Preparation covers data ingestion techniques and data transformation using Azure Data Factory and Azure Databricks.
Module 4: Data Integration and Orchestration guides you through the use of Azure Data Factory and Azure Logic Apps to create effective data workflows.
Module 5: Data Transformation and Analysis delves deep into Azure Databricks and HDInsight, empowering you to perform advanced data transformations and analyses.
Module 6: Data Loading and Exporting explores techniques for loading data into Azure SQL Data Warehouse and exporting data for reporting with Power BI.
Module 7: Data Security and Compliance focuses on securing your Azure data solutions and adhering to compliance standards.
Module 8: Monitoring and Optimization teaches you how to monitor data pipelines and optimize performance for efficiency.
Module 9: Real-world Scenarios and Case Studies provides insights into practical data engineering scenarios and real-world case studies.
Module 10: Exam Preparation equips you with the knowledge and resources needed to excel in the DP-203 exam, a crucial step in becoming a certified Azure Data Engineer.
Module 11: Conclusion and Next Steps summarizes key takeaways and points you toward further learning and resources.
Throughout this training, you'll find a blend of theory and hands-on experience, ensuring you gain practical skills to tackle real-world data engineering challenges. Let's begin this exciting journey into the world of Azure Data Engineering!
