Navigating Databricks with Ease for Unparalleled Data Engineering Insights.

KEY FEATURES
Navigate Databricks with a seamless progression from fundamental principles to advanced engineering techniques.
Gain handson experience with realworld examples, ensuring immediate relevance and practicality.
Discover expert insights and best practices for refining your data engineering skills and achieving superior results with Databricks.

DESCRIPTION
Ultimate Data Engineering with Databricks is a comprehensive handbook meticulously designed for professionals aiming to enhance their data engineering skills through Databricks. Bridging the gap between foundational and advanced knowledge, this book employs a stepbystep approach with detailed explanations suitable for beginners and experienced practitioners alike.

Focused on practical applications, the book employs realworld examples and scenarios to teach how to construct, optimize, and maintain robust data pipelines. Emphasizing immediate applicability, it equips readers to address real data challenges using Databricks effectively. The goal is not just understanding Databricks but mastering it to offer tangible solutions.

Beyond technical skills, the book imparts best practices and expert tips derived from industry experience, aiding readers in avoiding common pitfalls and adopting strategies for optimal data engineering solutions. This book will help you develop the skills needed to make impactful contributions to organizations, enhancing your value as data engineering professionals in today's competitive job market.

WHAT WILL YOU LEARN
Acquire proficiency in Databricks fundamentals, enabling the construction of efficient data pipelines.
Design and implement highperformance data solutions for scalability.
Apply essential best practices for ensuring data integrity in pipelines.
Explore advanced Databricks features for tackling complex data tasks.
Learn to optimize data pipelines for streamlined workflows.

WHO IS THIS BOOK FOR?
This book caters to a diverse audience, including data engineers, data architects, BI analysts, data scientists and technology enthusiasts. Suitable for both professionals and students, the book appeals to those eager to master Databricks and stay at the forefront of data engineering trends. A basic understanding of data engineering concepts and familiarity with cloud computing will enhance the learning experience.

Mayank Malhotra's journey in the tech world began as a big data engineer, quickly evolving into a versatile data engineering His extensive experience spans various cloud platforms such as AWS, Azure, and Databricks, as well as OnPrem Infrastructure, showcasing his adaptability and depth of knowledge. A BTech graduate, Mayanks academic foundation laid the groundwork for his successful career. 

In the realm of data engineering, Mayank has tackled a diverse range of projects, from data migration and modeling to data transformation and quality validation. His ability to navigate complex data landscapes has not only honed his skills but also made him a soughtafter expert in the field. One of his key beliefs, "Be the senior you needed as a junior," reflects his passion for mentoring. He thrives on guiding others, sharing insights, and discussing new design approaches in data engineering, making him a valuable mentor and leader.

With an impressive accumulation of 5x Databricks certifications, Mayank's credentials speak to his commitment and expertise. His aptitude for creating sophisticated data solutions is evidenced by his remarkable achievements, including being honored three times in his organization for delivering defectfree testament to his exceptional skill and attention to detail. His enthusiasm for exploring new technologies and solving challenging problems keeps him at the forefront of the industry, continuously pushing the boundaries of what's possible in data engineering. 

Outside of his professional life, Mayank is driven by a curiosity to explore and learn. This quest for knowledge and new experiences not only fuels his professional growth but also shapes his personal interests.

Looking ahead, Mayank aspires to become one of the most accomplished data engineers , adept at solving a wide spectrum of datarelated challenges. He believes in rising to the level of problems one solves, a philosophy that propels him to constantly seek out and conquer new and more complex challenges. 

Mayank's journey in data engineering is not just about technical mastery but also about the impact and inspiration he brings to the field. His story is a testament to the power of continuous learning, adaptability, and the pursuit of excellence. As he continues to navigate and shape the world of data, Mayank Malhotra stands as a beacon of expertise and inspiration for many aspiring data engineers.

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Nawaz Abbas started his career with Accenture 12 years ago. His journey in the field of Information Technology has given him a chance to explore multiple domains such as Banking, Security, and Consumer sectors, with exposure to various technologies in the field of Big Data and Analytics. 

He likes to be involved in building and designing data pipelines using various Big Data Technologies like PySpark, Databricks, Scala, Java, Kafka, Hive, Airflow, and more. More recently, he has taken on the roles ofa Technical Lead and/or Big Data Engineer. He has worked on various AWS components, including AWS Lambda, SNS, Athena, S3, EC2, Load Balancer, Elastic Beanstalk, ASG, and more. 

As an avid reader, Nawaz likes to remain close to newer technologies and stay connected to the latest industry trends. In his free time, you might find him spending time with his family, traveling, watching soccer, playing cricket, or participating in CSR events.