Mastering Databricks Lakehouse Platform: Perform Data Warehousing, Data Engineering, Machine Learning, DevOps, and BI into a Single Platform (English Edition)
Par : ,Formats :
- Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
- Compatible avec une lecture sur liseuses Vivlio
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
- Non compatible avec un achat hors France métropolitaine

Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
- FormatePub
- ISBN978-93-5551-139-3
- EAN9789355511393
- Date de parution11/07/2022
- Protection num.Adobe DRM
- Infos supplémentairesepub
- ÉditeurBPB Publications
Résumé
The book teaches to leverage the Databricks Lakehouse platform to develop delta live tables, streamline ETL/ELT operations, and administer data sharing and orchestration. The book explores how to schedule and manage jobs through the Databricks notebook UI and the Jobs API. The book discusses how to implement DevOps methods on the Databricks Lakehouse platform for data and AI workloads. The book helps readers prepare and process data and standardizes the entire ML lifecycle, right from experimentation to production. The book doesn't just stop here; instead, it teaches how to directly query data lake with your favourite BI tools like Power BI, Tableau, or Qlik.
Some of the best industry practices on building data engineering solutions are also demonstrated towards the end of the book. WHAT YOU WILL LEARN? Acquire capabilities to administer end-to-end Databricks Lakehouse Platform? Utilize Flow to deploy and monitor machine learning solutions? Gain practical experience with SQL Analytics and connect Tableau, Power BI, and Qlik? Configure clusters and automate CI/CD deployment? Learn how to use Airflow, Data Factory, Delta Live Tables, Databricks notebook UI, and the Jobs APIWHO THIS BOOK IS FORThis book is for every data professional, including data engineers, ETL developers, DB administrators, Data Scientists, SQL Developers, and BI specialists.
You don't need any prior expertise with this platform because the book covers all the basics. AUTHOR BIO Sagar Lad is a Technical Solution Architect with a leading multinational software company and has deep expertise in implementing Data & Analytics solutions for large enterprises using Cloud and Artificial Intelligence. He is an experienced Azure Platform evangelist with strong focus on driving cloud adoption for enterprise organizations using Microsoft Cloud Solutions & Offerings with 8+ Years of IT experience.
He loves blogging and is an active blogger on medium, LinkedIn and C# Corner developer community. He was awarded the C# Corner MVP in September 2021, for his contributions to the developer community. Anjani Kumar is the MD and Founder of MultiCloud4u which is one of the fastest DIgital transformation startups extensively using Data Driven solutions. As a technologist Anjani is a multifaceted Enterprise and Data Solution Architect and have consulted 100 of top fortune 500 clients for setting up large data warehouse and digital business transformations correctly while working with publicis.
Sapient, Royal Bank Of Scotland, Microsoft, AMEX and multiple other clients such as Unilever, Citi Bank, Brown Advisory, Nissan, Sprint, Bata, Philips, Jera Americas and many more. He runs a global knowledge sharing platform called 5thir.
The book teaches to leverage the Databricks Lakehouse platform to develop delta live tables, streamline ETL/ELT operations, and administer data sharing and orchestration. The book explores how to schedule and manage jobs through the Databricks notebook UI and the Jobs API. The book discusses how to implement DevOps methods on the Databricks Lakehouse platform for data and AI workloads. The book helps readers prepare and process data and standardizes the entire ML lifecycle, right from experimentation to production. The book doesn't just stop here; instead, it teaches how to directly query data lake with your favourite BI tools like Power BI, Tableau, or Qlik.
Some of the best industry practices on building data engineering solutions are also demonstrated towards the end of the book. WHAT YOU WILL LEARN? Acquire capabilities to administer end-to-end Databricks Lakehouse Platform? Utilize Flow to deploy and monitor machine learning solutions? Gain practical experience with SQL Analytics and connect Tableau, Power BI, and Qlik? Configure clusters and automate CI/CD deployment? Learn how to use Airflow, Data Factory, Delta Live Tables, Databricks notebook UI, and the Jobs APIWHO THIS BOOK IS FORThis book is for every data professional, including data engineers, ETL developers, DB administrators, Data Scientists, SQL Developers, and BI specialists.
You don't need any prior expertise with this platform because the book covers all the basics. AUTHOR BIO Sagar Lad is a Technical Solution Architect with a leading multinational software company and has deep expertise in implementing Data & Analytics solutions for large enterprises using Cloud and Artificial Intelligence. He is an experienced Azure Platform evangelist with strong focus on driving cloud adoption for enterprise organizations using Microsoft Cloud Solutions & Offerings with 8+ Years of IT experience.
He loves blogging and is an active blogger on medium, LinkedIn and C# Corner developer community. He was awarded the C# Corner MVP in September 2021, for his contributions to the developer community. Anjani Kumar is the MD and Founder of MultiCloud4u which is one of the fastest DIgital transformation startups extensively using Data Driven solutions. As a technologist Anjani is a multifaceted Enterprise and Data Solution Architect and have consulted 100 of top fortune 500 clients for setting up large data warehouse and digital business transformations correctly while working with publicis.
Sapient, Royal Bank Of Scotland, Microsoft, AMEX and multiple other clients such as Unilever, Citi Bank, Brown Advisory, Nissan, Sprint, Bata, Philips, Jera Americas and many more. He runs a global knowledge sharing platform called 5thir.