article thumbnail

SQL Streambuilder Data Transformations

Cloudera

As an essential part of ETL, as data is being consolidated, we will notice that data from different sources are structured in different formats. It might be required to enhance, sanitize, and prepare data so that data is fit for consumption by the SQL engine. What is a data transformation?

article thumbnail

An AI Chat Bot Wrote This Blog Post …

DataKitchen

The data scientists and IT professionals were starting to get frustrated, when suddenly, a magical fairy appeared out of nowhere. The fairy was carrying a DataOps wand, and she waved it over the messy data, transforming it into a clean and organized dataset.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How Your Finance Team Can Lead Your Enterprise Data Transformation

Alation

Building a Data Culture Within a Finance Department. Our finance users tell us that their first exposure to the Alation Data Catalog often comes soon after the launch of organization-wide data transformation efforts. After all, finance is one of the greatest consumers of data within a business.

Finance 52
article thumbnail

Alteryx to Dataiku: AutoML

Dataiku

In our last three blogs, we covered how Dataiku’s visual flow can help enhance collaboration and visibility, differences in how you work with datasets , and one of the key tools to accelerate data transformations: recipes. Welcome back to part four of the Alteryx to Dataiku series!

article thumbnail

Orchestrate Amazon EMR Serverless jobs with AWS Step functions

AWS Big Data

Prerequisites Before you get started, make sure you have the following prerequisites: An AWS account An IAM user with administrator access An S3 bucket Solution Architecture To automate the complete process, we use the following architecture, which integrates Step Functions for orchestration and Amazon EMR Serverless for data transformations.

Big Data 105
article thumbnail

What is a DataOps Engineer?

DataKitchen

DataOps establishes a process hub that automates data production and analytics development workflows so that the data team is more efficient, innovative and less prone to error. In this blog, we’ll explore the role of the DataOps Engineer in driving the data organization to higher levels of productivity.

Testing 152
article thumbnail

From Disparate Data to Visualized Knowledge Part I: Moving from Spreadsheets to an RDF Database

Ontotext

Through this series of blog posts, we’ll discuss how to best scale and branch out an analytics solution using a knowledge graph technology stack. For the use case that this blog will explore, we have picked a perfect blend of the exciting and the fairly boring – building compliance. How to make sense of all that? But with robots.