Towards Data Science

JANUARY 16, 2024

New data formats emerged — JSON, Avro, Parquet, XML etc. Data lakes were introduced to store the new data formats. 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.

Data Warehouse 95

Data Warehouse Data Architecture Relational Database NoSQL 95

DataKitchen

AUGUST 19, 2021

Figure 3 shows an example processing architecture with data flowing in from internal and external sources. Each data source is updated on its own schedule, for example, daily, weekly or monthly. The data scientists and analysts have what they need to build analytics for the user. The new Recipes run, and BOOM!

Pharmaceutical 98

Pharmaceutical Data Lake Data Warehouse Raw Data 98

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. One can use polybase: From Azure SQL Database or Azure Synapse Analytics, query data kept in Hadoop, Azure Blob Storage, or Azure Data Lake Store. It does away with the requirement to import data from an outside source.

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 52