Towards Data Science

JANUARY 16, 2024

Image by the author 2010 to 2020 - The Cloud Data Warehouse Enterprises now wanted quick data analytics without yesterday’s constraints of flexibility, processing power and scale. Examples include: Amazon Redshift, Google BigQuery, Snowflake, Azure Synapse Analytics, Databricks etc. So what was missing?

Data Warehouse 63

Data Warehouse Data Architecture Relational Database NoSQL 63

Striim

AUGUST 22, 2024

Collect data in real time Every organization can leverage valuable real-time data. Real-time analytics is made possible by the way the data is processed. Batch Processing In data analytics, batch processing involves first storing large amounts of data for a period and then analyzing it as needed.

Data Warehouse 52

Data Warehouse Retail Machine Learning Database 52

Edureka

FEBRUARY 7, 2023

Dynamic data masking serves several important functions in data security. Azure Synapse is a boundless analytics service that combines enterprise data warehousing and Big Data analytics. 7) Describe the Azure Synapse Analytics architecture. 15) What is Azure table storage, exactly?

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52