phData: Data Engineering

JANUARY 3, 2022

This means it’s business-critical that companies can derive value from their data to better inform business decisions, protect their enterprise and their customers, and grow their business. This comprehensive guide will cover all of the basics of data engineering including common roles, functions, and responsibilities.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

AltexSoft

JUNE 26, 2023

Find sources of relevant data. Choose data collection methods and tools. Decide on a sufficient data amount. Set up data storage technology. Below, we’ll elaborate on each step one by one and share our experience of data collection. The difference between data warehouses, lakes, and marts.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

FEBRUARY 8, 2017

In 2017, big data platforms that are just built only for hadoop will fail to continue and the ones that are data and source agnostic will survive. Organizations are embarking on data lake strategy for applications that are centralized and for applications coming together on a single central platform.

Big Data 40

Big Data Hadoop Data Lake Data Governance 40