In Azure Data Factory, mapping data flows are data transformations that are visually designed. Data flows make it possible for data engineers to create data transformation algorithms without having to write code. The data flows are then executed as activities within Azure Data Factory pipelines that leverage scaled-out Apache Spark clusters. The current Azure Data Factory scheduling, control, flow, & monitoring capabilities can be used to operationalize data flow activities. AZ 304 certification is one such course that can get you started. AZ 304 certification is a great place to get started with.
Data integration, enterprise data warehousing, and big data analytics are all part of Azure Synapse Analytics, an unlimited analytics service. It allows you to query data at scale on your own terms, utilizing either serverless or dedicated solutions. Azure Synapse unifies these worlds with a unified experience for ingesting, exploring, preparing, transforming, managing, and serving data for immediate BI and machine learning requirements.
Data flow mapping is a completely visual experience that does not involve any coding. For scaled-out data processing, your data flows execute on ADF-managed execution clusters. Azure Data Factory covers all of your data flow jobs’ code translation, path optimization, and execution.
Hybrid data integration has never been easier.
Azure Data Factory is a fully supervised, serverless data integration service that can integrate all of your data. At no additional cost, visually connect data sources with more than 90 built-in, maintenance-free connectors. Create ETL and ELT procedures in an intuitive environment without writing code, or building your own. Then, to gain business insights, send the combined data to Azure Synapse Analytics.
With built-in Git and CI/CD support, rehost SQL Server Integration Services (SSIS) in a few clicks and develop code-free ETL and ELT pipelines.
Enjoy a fully managed, pay-as-you-go serverless cloud solution that scales on-demand.
With more than 90 built-in connectors, you can ingest all of your on-premises and software as a service (SaaS) data. At a large scale, orchestrate and monitor.
To unleash operational efficiencies and empower citizen integrators, use autonomous ETL.
Scale is unbounded.
Deliver blazing-fast insights from all of your data across data warehouses and big data analytics tools.
Expand your data-driven insight discovery and apply machine learning models to all of your intelligent apps.
With a single experience in designing end-to-end analytics solutions, you may significantly cut project development time.
With Azure Synapse Link, you can remove data barriers and do analytics on data from operational and business apps with no data movement.
Secure data using industry-leading security and privacy features like column- and row-level security and dynamic data masking.
The Most Important Service Capabilities
The platform for unified analytics
From a single, unified platform, perform data integration, data exploration, data warehousing, big data analytics, and machine learning operations.
Serverless and dedicated options
Support both data lake and data warehouse use cases while determining the most cost-effective pricing solution for each task.
Enterprise data warehousing
Build your mission-critical data warehouse on the industry’s best-performing SQL engine’s established foundation.
Data lake exploration
With the same service you use to construct data warehousing solutions, you can combine relational and nonrelational data and quickly query files in the data lake.
Code-free hybrid data integration
To easily consume data from more than 95 native connectors, create ETL/ELT procedures in a code-free visual environment.
Deeply integrated Apache Spark and SQL engines
Improve data professionals’ collaboration when working on advanced analytics solutions. Use T-SQL queries on your data warehouse and Spark engines with ease.
Log and telemetry analytics
With the Azure Synapse data explorer distributed query engine, you can obtain insights from time-series, log, and telemetry data using industry-leading text-indexing technology.
Choice of language
Whether you’re using serverless or dedicated resources, you can utilize your chosen language, such as T-SQL, KQL, Python, Scala, Spark SQL, and.Net.
Integrated AI and BI
Deep integration of Azure Machine Learning, Azure Cognitive Services, and Power BI completes your end-to-end analytics solution.
With a single click, extract insights from real-time transactional data stored in operational databases like Azure Cosmos DB.
With a point-and-click solution that scans your source system, generates an inventory report and translates existing code in minutes rather than weeks or months, you can automate mandatory and crucial data warehouse migration tasks. There’s no need to rewrite SQL code by hand—get over 100,000 lines of SQL code translated in minutes. AZ 304 certification is a must-have for you to get started with the journey.