Mastering Microsoft Fabric : A Synopsis
Mastering Microsoft Fabric book overall narrates Microsoft Fabric broad capabilities in the cloud analytics field for Industry usage.
This includes
* Microsoft Office equivalent experience for data estate management
* ONE Lake for all Data- Like One Drive for Microsoft Office.
* Persona based experience.
* ONE Copy framework & Build NO Data Silo framework.
* Fabric Shortcuts for Cross cloud data virtualization Azure & AWS.
* Data mesh foundation compatibility using Fabric domain.
* Virtual data warehouse and cross database query capability
* Open AI integration features
* Event streaming and Kusto query inside Fabric real-time analytics.
* Code free real time data alert.
* Seamless tooling for Machine learning, Datasceince.
* Code free data wrangling.
* Ease of capacity and pricing.
* World class spark.
* Ease of data sharing.
In the beginning of the book you will learn the Journey of Analytics evolution, from on premises to cloud infra structure as service (IAAS), Platform as a service (PAAS) and now Software as a service (SAAS version) of Analytics. Also you will learn advantages of SAAS analytics products. In the beginning book describes Fabric native Datamesh, is an architectural paradigm that advocates for decentralized, domain-oriented, self-serve, and interoperable data platforms.Subsequently book describes following capabilities.
Data Ingestion and Pipeline: Use Power Query, Data flow gen2, and Fabric data pipeline to ingest and transform data from various sources into the Fabric lake house.12
Lake house explorer: Leverage Lake house explorer interface, which allows users to interact with the lake house data estate in different sections, such as Table, File, and Unidentified.34
Lake house data engineering development: The document shows how to use Fabric notebook and Spark job definition to perform data engineering tasks on the lake house data using PySpark, SQL, or other languages.56
Fabric Lake house – Optimized Delta Lake: Benefit of using Delta file format as the lake house format, such as ACID compliance, schema evolution, and low shuffle merge.
SQL Endpoint of Lakehouse: SQL endpoint of the lake house is used to query the data using SQL and visualize the results using Power BI
Fabric data science overview: Fabric data science is a field that combines multiple disciplines to extract knowledge from massive datasets for the purpose of making informed decisions and predictions. Fabric offers end-to-end data science capabilities for data scientists, such as data ingestion, exploration, preparation, modeling, experimentation and operationalization.12
Data science with notebook and VS Code: Fabric notebook is the main tool for data science development, where data scientists can create, import, or use sample notebooks to perform data analysis, visualization, and modelling. Fabric notebook supports various languages and run-times, such as Python, Scala, Spark, and R. Fabric also integrates with VS Code, a lightweight source code editor, where data scientists can author, run, and debug notebooks locally.
Data warehousing in Microsoft Fabrics: Fabric data warehouse, a cloud-based SaaS platform that supports both lakehouse and data warehouse-oriented development. Fabric data warehouse offers for data transformation and query development, such as visual query editor, SQL editor, and SQL server management studio,Cross database and virtual data warehouse query.
Fabric real time analytics work in Fabric which includes capabilities like Kusto query and database
Mr. Debananda Ghosh Book Mastering Microsoft Fabrics is available in :
Springer | Amazon Singapore | Amazon India | Amazon US | Rakuten Japan
About the Author :
Mr. Debananda Ghosh
Global Black Belt, Cloud Analytics Business Lead – APJ Market,
MICROSOFT, Singapore
Mr. Debananda Ghosh is a Data and AI specialist and has been working in the Data and AI field for the past 17 years.
Mr. Debananda Ghosh expertise includes, Data Warehouse, Database admin, Data Engineering, Big Data & AI, Data architecture and related cloud analytics practice.
Mr. Debananda Ghosh is currently working with Microsoft cloud analytics products and helping industry partners achieve their digital transformation journey using advanced analytics and AI capability.
Prior to Microsoft Mr. Debananda Ghosh was in Rolls Royce Singapore Data lab developing Aviation Analytics products in Cloud Big Data and AI platforms.
Mr. Debananda Ghosh has worked with customers across multiple industries like finance, manufacturing,utilities,teleco
Mr. Debananda Ghosh completed his bachelor’s in engineering from Jadavpur University, Kolkata, India and a Post Graduate Program in Data Science and Business Analytics from McCombs School of Business at the University of Texas at Austin,USA.
Mr. Debananda Ghosh is also a distinguisher speaker and blog writer in cloud data and AI technology fields.
Mr. Debananda Ghosh is Bestowed with the following Licenses & Certifications :
https://www.linkedin.com/in/de
Mr. Debananda Ghosh is Volunteering in the following International Industry Associations & Institutions :
https://www.linkedin.com/in/de
Mr. Debananda Ghosh can be contacted at :
