Data Engineering Guide

Spark Tensorflow: TensorFlow is an open-source project library from Google for machine learning

A data science pipeline is the set of processes that convert raw data into actionable answers to business questions.

Big data engineering is the process of managing the ingestion and transformation of high volume data sets from various disparate sources.

A data pipeline is a means of moving data from the source to a destination (such as a data warehouse). Along the way, data is transformed and optimized. Learn how.

Data wrangling aims to eliminate faulty or incomplete data before analysis. By cleaning up and augmenting existing data, business teams can make better decisions.

In this post, we’ll explain what data processing is and explore the changes that have created new demands on data processing.

Master Data Management (MDM), which goes hand in hand with data governance, has moved to the forefront of data-driven organizations.

Machine learning is an application of artificial intelligence (AI) that enables systems to learn automatically and improve through experience without the assistance of explicit programming.

In this guide we are talking about what Is IoT, how does it work, and what is the business value of IoT Data. Learn more.