O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Data science and data tools. Debugging Data Science , June 26.

Course 49

Course Training Artificial Inteligence Software Review 49

Cloudera

APRIL 14, 2021

What is Cloudera Data Engineering (CDE) ? Cloudera Data Engineering is a serverless service for Cloudera Data Platform (CDP) that allows you to submit jobs to auto-scaling virtual clusters. Refer to the following cloudera blog to understand the full potential of Cloudera Data Engineering. .

Data Engineering 84

Data Engineering Engineering Data Serverless 84

O'Reilly Media - Ideas

MAY 1, 2019

Real-Time Streaming Analytics and Algorithms for AI Applications , May 15. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30. AI and machine learning.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Altexsoft

OCTOBER 29, 2020

But before you dive in, we recommend you reviewing our more beginner-friendly articles on data transformation: Complete Guide to Business Intelligence and Analytics: Strategy, Steps, Processes, and Tools. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

Altexsoft

JULY 19, 2022

She formulated the thesis in 2018 and published her first article “How to Move Beyond a Monolithic Data Lake to a Distributed Data Mesh” in 2019. This is a methodology and a natural extension of Agile and continuous delivery approaches. So, to avoid any confusion, please be aware that data mesh is NOT.

Architecture 52

Architecture Data Analytics Data Engineering 52

CircleCI

JULY 29, 2022

In the CLI version, you have full control of your data project configuration and the ability to publish documentation as needed, while dbt Cloud provides a user interface that sets up a few configurations for you and generates dbt documentation automatically. Why is dbt useful in data engineering and analysis?

Testing 98

Testing Software Review Continuous Integration Software Development 98

O'Reilly Media - Ideas

MARCH 6, 2019

Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , March 13. Data Modelling with Qlik Sense , March 19-20. Foundational Data Science with R , March 26-27. What You Need to Know About Data Science , April 1. Data Pipelining with Luigi and Spark , April 17.

Course 10

Course Artificial Inteligence Training Microservices 10

O'Reilly Media - Ideas

MARCH 1, 2023

Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. Data engineering was the dominant topic by far, growing 35% year over year. Data engineering deals with the problem of storing data at scale and delivering that data to applications.

Trends 134

Trends Technical Review Technology Software Review 134

Kentik

FEBRUARY 7, 2023

Sensitive data, backups, and analytics are being handled in their Chicago data center, with private cloud access via backbones like Express Route or Direct Connect to help efficiently move data out of the cloud and into the data center. These adaptations can be expensive at the onset.

Network 59

Network Cloud Data Data Center 59

Altexsoft

SEPTEMBER 28, 2021

Particularly, it facilitates the work of researchers, data scientists, data engineers , QA engineers , and DevOps specialists. Buildbot for continuous integration (CI). Spyder for data analytics, data scientists, and engineers. Versatility plus extensive toolset for almost everything.

Weak Development Team 94

Weak Development Team Programming Software Review Systems Review 94