Analytics Architecture Data Analytics Data Warehouse 
DataKitchen
AUGUST 19, 2021
Each data source is updated on its own schedule, for example, daily, weekly or monthly. The DataKitchen Platform ingests data into a data lake and runs Recipes to create a data warehouse leveraged by users and self-service data analysts. The third set of domains are cached data sets (e.g., Conclusion.
Towards Data Science
JANUARY 16, 2024
Evolution of the data landscape 1980s — Inception Relational databases came into existence. Databases were overwhelmed with transactional and analytical workloads. Result: Data warehouse was born. Image by the author Early 1990s — Scale Analytical workloads started to get complex. Data volumes started to grow.
Striim
AUGUST 22, 2024
What’s the difference between real-time analytics and streaming analytics? Streaming analytics focuses on analyzing data in motion, unlike traditional analytics, which deals with data stored in databases or data warehouses. Real-time analytics is made possible by the way the data is processed.
Edureka
FEBRUARY 7, 2023
Dynamic data masking serves several important functions in data security. Azure Synapse Interview Questions – Analytics The interview questions and responses for azure data engineers for synapse analytics and stream analytics are covered in this section.
Knowledge Hut
FEBRUARY 27, 2023
A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.
Monte Carlo
JULY 25, 2022
There’s a lot of content out there about why a data mesh is (or isn’t) the best thing since sliced bread. But one thing’s for sure: if you can’t trust the data powering your analytics architecture, it’s hard to justify the investment.
Expert insights. Personalized for you.
98 
Let's personalize your content