article thumbnail

Data Engineering Annotated Monthly – June 2022

Big Data Tools

Kafka: Monitor KRaft Controller Quorum Health – In the previous installment I wrote about KRaft, the new consensus algorithm in Kafka. serverless model endpoints, model monitoring, and many other features aimed at MLOps and production-ready data science models and experiments. Of course, the main topic is data streaming, as always.

article thumbnail

Data Engineering Annotated Monthly – June 2022

Big Data Tools

Kafka: Monitor KRaft Controller Quorum Health – In the previous installment I wrote about KRaft, the new consensus algorithm in Kafka. serverless model endpoints, model monitoring, and many other features aimed at MLOps and production-ready data science models and experiments. Of course, the main topic is data streaming, as always.

Insiders

Sign Up for our Newsletter

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

article thumbnail

Data Engineering Annotated Monthly – September 2022

Big Data Tools

DuaLip 2.4.1 – Sometimes the job of a data engineer is not just to build pipelines but also to help data science professionals optimize their solutions. They have their algorithm. They have their data. That wraps up September’s Data Engineering Annotated. And they know what they need to do.

article thumbnail

Data Engineering Annotated Monthly – September 2022

Big Data Tools

DuaLip 2.4.1 – Sometimes the job of a data engineer is not just to build pipelines but also to help data science professionals optimize their solutions. They have their algorithm. They have their data. That wraps up September’s Data Engineering Annotated. And they know what they need to do.

article thumbnail

How to Learn MLOps in 2022 -The Ultimate Guide for Beginners

ProjectPro

The primary reason behind this spike is the sudden realization that using MLOps results in the improvised deployment of machine learning algorithms. Usually, data scientists do not have a strong background in engineering and cannot thus follow DevOps norms. These steps are: Cleaning the data and handling different file formats.

article thumbnail

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

The Top 25 Data Engineering Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-13 10:23:19 Interested in data engineering? He also has adept knowledge of coding in Python, R, SQL, and using big data tools such as Spark. You’ve come to the right place.

article thumbnail

A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

Features of PySpark The PySpark Architecture Popular PySpark Libraries PySpark Projects to Practice in 2022 Wrapping Up FAQs Is PySpark easy to learn? PySpark SQL supports a variety of data sources, allowing SQL queries to be combined with code modifications, resulting in a powerful big data tool. Why use PySpark?