Microsoft Fabric: Falling in love with SQL all over again
I didn't expect the thing I love the most in #MicrosoftFabric to be something I've loved for so many years, but here we are...
This blog post shares the author's joy and enthusiasm for Microsoft Fabric, a data platform. Despite the information about Fabric being widely covered by Microsoft data platform bloggers, the author finds immense pleasure in using the OneLake SaaS data lake feature that allows data storage in a common format and central location for all Fabric workloads.
The author is specifically excited about the seamless process of creating dataflows and loading data into the Fabric lakehouse from various sources such as Plex Media Server, a pipe-delimited text file, and Spotify listening history. The author also appreciates the ease of running SQL queries on this unified data, a task that evokes feelings of nostalgia and satisfaction.
The author fondly recalls falling in love with SQL in the mid-90s, and how the past few years have been relatively SQL-sparse due to other engagements, like the Power Query. Despite the excitement around Fabric, the author finds the most joy in returning to SQL, an old love that still holds a special place in their heart.
Microsoft Fabric is a hot topic in the Microsoft data platform blogger community, as it allows for seamless data storage and management using OneLake, a SaaS data lake. OneLake stores data in a common format and central location for all Fabric workloads and experiences. This post shares the joy and excitement of using Microsoft Fabric for a Data Ceili presentation demo.
- Create a dataflow that pulls data from a Plex Media Server SQLite database and loads it into a lakehouse.
- Create a dataflow that pulls data from a pipe-delimited text file containing additional Plex music metadata and loads it into the same lakehouse.
- Create a dataflow that pulls data from a Spotify listening history and loads it into the same lakehouse.
- Create a SQL query connected to the lakehouse.
Why Microsoft Fabric is Revamping SQL Love
Microsoft Fabric is a game-changer for SQL enthusiasts and professionals. Its integration with OneLake allows for effortless data storage and management, thus enabling users to create dataflows from various sources like Plex Media Server, text files with metadata, and even Spotify listening history. The ease of loading data into a single, central lakehouse and creating connected SQL queries makes Microsoft Fabric a powerful tool for data analysis, reigniting the love for SQL all over again.
Learn about Microsoft Fabric: Falling in love with SQL all over again
Microsoft Fabric is an innovative technology that allows users to store and manage their data in a common format and central location. With Fabric, users can easily create dataflows to bring data from various sources into a lakehouse, such as a SQLite database, pipe-delimited text file, or even their Spotify listening history. Additionally, users can write SQL queries to access and manipulate the data stored in the lakehouse. With Fabric, users can easily manage and analyze their data, making it easier than ever to get the most out of their data.
Fabric also makes it simple to create powerful dataflows. With just a few clicks, users can define data sources, add transformations, and store the results in the lakehouse. Additionally, Fabric supports powerful features such as streaming data and columnar storage, making it easy to analyze large datasets quickly and efficiently.
Overall, Microsoft Fabric makes it easy for users to store and manage their data. With its powerful dataflows and features, Fabric makes it easier than ever to analyze and get the most out of their data. Whether they're running a large enterprise or a small business, Fabric makes it easy to get the most out of their data and make better decisions.
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Keywords
Microsoft Fabric, OneLake SaaS, Data Ceili, Power BI, Plex Media Server, Pipe-Delimited Text File, Spotify Listening History, SQL Query, Lakehouse