DP 900: Data Analytics Concepts

DP 900: Data Analytics Concepts

Data analytics is the process of transforming raw data into meaningful insights that can help you make better decisions. Data analytics can be applied to various domains such as business, education, health care, social media and more. Data analytics involves several steps such as collecting, cleaning, analyzing and visualizing data.

Data ingestion is the process of acquiring data from different sources and bringing it into a data platform. Data ingestion can be done in different ways such as batch, streaming or real-time. Data ingestion can also involve data transformation or validation to ensure the quality and consistency of the data.

Data processing is the process of applying logic or algorithms to the ingested data to produce a desired output. Data processing can be done in different ways such as batch, streaming or interactive. Data processing can also involve data manipulation or aggregation to perform calculations or operations on the data.

ETL stands for Extract, Transform and Load. It is a type of data processing that involves extracting data from various sources, transforming it into a common format and loading it into a destination such as a database or a data warehouse. ETL is often used for data integration or consolidation.

Data visualization is the process of presenting the processed data in a graphical or interactive way to make it easier to understand and communicate. Data visualization can use different techniques such as charts, graphs, maps, dashboards or reports. Data visualization can help you explore, analyze or share your data insights.

Some of the Azure services that can help you with data analytics are:

  • Azure Data Factory: A fully managed service that allows you to create and orchestrate ETL pipelines using a graphical interface or code.

  • Azure Databricks: A cloud-based platform that provides an interactive workspace for data engineering, data science and machine learning using Apache Spark.

  • Azure Synapse Analytics: A unified analytics service that combines SQL data warehousing and big data analytics in one platform.

  • Azure Power BI: A business intelligence service that allows you to create and share interactive data visualizations using a drag-and-drop interface or code.