Dynamics 365: Learn in doing

We are living in a Digital world where Data is everything and the Ability to process and generate insights to enable Business decision making is the absolute super power you want to have. And in order to process data into meaningful information, it might be a good practice to have a place to store all kinds of data - and Microsoft provides one such storage service with Azure Data lake .  So What is Azure Data Lake Storage?  Azure Data Lake Storage (ADLS) can be literally compared to a large lake/pond, where rain water passing through various terrains gets collected. Irrespective of whether a water stream passing through fields is muddy (or) a water stream passing through a cluster of rocks is clean - a lake would take in the water as it comes.  Just like that ADLS can be considered as a repository that has capacity to hold large amounts of data in their native, raw format.  Data lake storages can be terabytes and petabytes in size. Data can come from multiple heterog...

If you have ever worked with a Data warehousing solution, you would probably say that the most important part of the job is to ensure proper Data ingestion (Data loading). If you lose any data at this point, then the resulting information (reports) will end up inaccurate, failing to represent the facts on which Business decisions are made. Microsoft Azure provides several services which you can use to ingest data and one of them is Azure Data Factory. So What is Azure Data Factory?  Azure Data Factory (ADF) is a Platform-as-a-Service offering from Microsoft. The primary purpose of this service could be to do Extract, Transform and Load (ETL)  or Extract, Load and Transform (ELT) and this is done via using a concept pipelines. Two types of pipelines to begin with - data movement pipelines (Extract & Load) and also data transformation pipelines (Transform). And being a PaaS service, ADF automatically scales out based on the demand enforced using these pipelines. ADF is ...