Components of modern data stack

The modern data stack comprises a set of technologies used to collect, process, store, and analyze data. It includes different layers, such as data ingestion, data warehousing, data processing, and data visualization. The components of the modern data stack include cloud services, data sources like software-as-a-service (SaaS), databases, and APIs. Additionally, it involves tools and platforms for data integration, data transformation, and data analysis. Some of the most popular examples of tools used in the modern data stack include Apache Kafka, Amazon Redshift, Apache Spark, and Tableau. The modern data stack enables businesses to make better decisions, improve the customer experience, and gain a competitive advantage.
This mind map was published on 20 April 2023 and has been viewed 121 times.

You May Also Like

Traffic calming techniques

How to land a job as a college fresher?

Requirements for permanent residency in Austria

What are the key characteristics of feudalism?

How to establish credibility in qualitative research?

What is qualitative data analysis?

What are the main data analysis methods?

How do you code qualitative data?

How is the reliability and validity of qualitative research ensured?

Marketing strategies

What are some SharePoint alternatives?

How does Sharepoint authentication work?