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Azure Databricks is a cloud based data engineering tool that is meant to process and transform expansive chunks of data. This industry-leading solution allows organizations of all types and sizes to achieve the full potential of data, but competently combining machine learning, ELT processes, and data. Darabricks is an Apache-Spark-based... read more →

Managing data at scale on the cloud considerably opens up possibilities in regards to real-time applications, artificial intelligence, and predictive analytics. Apache Spark has been among the most popular platforms used by people in recent years to run robust analytics algorithms at scale while trying to drive business insights. However,... read more →

Serverless architecture is a software design pattern in which applications are hosted by a third party provider. Hence, there would be no need for you to take care of any server software and hardware management tasks.  Apps tend to be broken up into distinctive functions in this system, and can... read more →

External tables are used to read data from files or write data to files in Azure Storage. With Synapse SQL, one may use external tables for the purpose of reading external data using a dedicated SQL pool or serverless SQL pool. The major applications of External tables in dedicated SQL... read more →

Data lakehouse architecture combines the elements of a data warehouse with those of a data lake. It focuses on implementing the data structures of a data warehouse, while also incorporating the management features of data lakes, to create a more cost-effective and competent solution for data storage. Data lakehouses are... read more →

Apache Spark is an open-source, distributed processing system that is used for big data workloads. It makes use of in-memory caching and optimized query execution to facilitate fast queries against data of any size. Spark essentially runs on memory (RAM), which makes the processing much faster than on disk drives.... read more →