12. Upload Local Files to KQL Database | Microsoft Fabric | CSV | JSON | Parquet

Опубликовано: 10 Август 2023
на канале: Data With Dominic
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Welcome to Data With Dominic’s tutorial video series on Microsoft Fabric, where we dive deep into the world of this cutting-edge technology. In this series, we will explore the fundamentals, features, and applications of Microsoft Fabric, providing you with a comprehensive understanding of its capabilities.

Microsoft Fabric is an end-to-end analytics solution with full-service capabilities including data movement, data lakes, data engineering, data integration, data science, real-time analytics, and business intelligence—all backed by a shared platform providing robust data security, governance, and compliance. The platform is built on a foundation of Software as a Service (SaaS), which takes simplicity and integration to a whole new level.

With Fabric, you don't need to piece together different services from multiple vendors. Instead, you can enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs.

Microsoft Fabric brings together new and existing components from Power BI, Azure Synapse, and Azure Data Explorer into a single integrated environment. These components are then presented in various customized user experiences.

With this new tool Data Engineers can visually integrate data from multiple sources, data scientists can model and transform data, data analysts can bring together multiple datasets and enable deeper insights, data stewards can govern data all from one place, business users can work directly with data uncovering and shaping the intelligence they need to make critical decisions that drive growth.



Fabric brings together experiences such as Data Engineering, Data Factory, Data Science, Data Warehouse, Real-Time Analytics, and Power BI onto a shared SaaS foundation. This integration provides the following advantages:
An extensive range of deeply integrated analytics in the industry.
Shared experiences across experiences that are familiar and easy to learn.
Developers can easily access and reuse all assets.
A unified data lake that allows you to retain the data where it is while using your preferred analytics tools.
Centralized administration and governance across all experiences.


With the Microsoft Fabric SaaS experience, all the data and the services are seamlessly integrated. IT teams can centrally configure core enterprise capabilities and permissions are automatically applied across all the underlying services. Additionally, data sensitivity labels are inherited automatically across the items in the suite.
Fabric allows creators to concentrate on producing their best work, freeing them from the need to integrate, manage, or understand the underlying infrastructure that supports the experience.

Topics Covered :-

Real Time Analysis Fabric
Microsoft Fabric Real Time Analysis
Ingest Local Files Into KQL Database
Ingest Local Files Into Kusto Database
Ingest Local Files Into KQL DB
Ingest Local Files Into Kusto DB
Ingest Local Files Into KQL Database in Microsoft Fabric
Ingest Local Files Into Kusto Database in Microsoft Fabric
Ingest Local Files Into KQL DB in Microsoft Fabric
Ingest Local Files Into Kusto DB in Microsoft Fabric
Upload Local Files Into KQL Database
Upload Local Files Into Kusto Database
Upload Local Files Into KQL DB
Upload Local Files Into Kusto DB
Upload Local Files Into KQL Database in Microsoft Fabric
Upload Local Files Into Kusto Database in Microsoft Fabric
Upload Local Files Into KQL DB in Microsoft Fabric
Upload Local Files Into Kusto DB in Microsoft Fabric
Upload CSV File
Upload JSON File
Upload Parquet File
Upload CSV File to KQL Database
Upload JSON File to KQL Database
Upload Parquet File to KQL Database
KQL Database upload local files
Microsoft Fabric upload files to sql database
Microsoft Fabric KQL
Real-Time Analysis KQL Database
Microsoft Fabric
Streaming Data
Time Series Data
Azure Data Explorer
KQL
Real Time Analytics In Microsoft Fabric
RTA Fabric
Microsoft Fabric
Real Time Analytics
KQL Database
KQL Queryset
Event Stream KQL
Keyword :-

Microsoft Fabric
Microsoft Fabric Lakehouse
Fabric Lakehouse
Fabric
Fabric Data analytics
Microsoft Fabric Data Analytics Platform
Onelake
Data Engineering
Data Science
Data Analysis
SAAS
Data Engineer
Data Scientists
Microsoft Fabric Tutorial
Fabric Tutorial
Pipeline
Data factory
Notebook
Pyspark
Spark
Apache
Dataflow


Data with Dominic
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