Microsoft Fabric is transforming the modern data platform landscape by bringing together: …all inside a single unified SaaS platform. One of the biggest strengths of Microsoft Fabric is flexibility. Fabric gives organizations multiple ways to store, process, and analyze data depending on: At the center of everything is OneLake — Microsoft Fabric’s unified data lake. … Read more
We are going to give a quick overview of how stored views and materialized views can be created in Databricks. For this demo, we will create our two gold layer entities. We will start by creating a view in the gold layer against our silver table customers_orders. Our view will simply contain some aggregations for … Read more
We are going to see how to use CDF data to propagate changes to downstream tables. For this demo, we will create a new silver table called customers_orders by joining two streams: The orders table with the CDF data of the customers table. We will start by creating a function to upsert ranked updates into … Read more
Change Data Capture or CDC refers to the process of identifying and capturing changes made to data in the data source and then delivering those changes to the target. Those changes could be obviously new records to be inserted from the source to the target. Updated records in the source that need to be reflected … Read more
Learning Objectives Change Data Feed or CDF is a new feature built into Delta Lake that allows to automatically generate CDC feeds about Delta Lake tables. CDF records row-level changes for all the data written into a delta table. These include the raw data along with metadata indicating whether the specified row was inserted, deleted … Read more
Introduction Slowly Changing Dimensions, or SCD is a data management concept that determines how tables handle data which change over time. For example, whether you want to overwrite values in the table or maybe retain their history. This can be determined by the SCD type to implement. There are three types of SCD which are … Read more
In this notebook, we are going to parse raw data from a single topic in our multiplexer bronze table. As you can see, in our architecture diagram, we will create the orders silver table. Let us start by copying our dataset files. Before starting, we need to cast our Kafka binary fields as strings. Here … Read more
6 broad categories related to the For Databricks Certified Data Engineer Professional exam topics, which are: Having the Data Engineer Associate certification from Databricks is not a prerequisite to appear for the Professional-level certification exam. However, this exam assumes that you have the skills of a data engineer associate on Databricks platform. The source code … Read more