Big Data Tools

JULY 13, 2022

By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe to the newsletter here. News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. That wraps up June’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JULY 13, 2022

By the way, if you would prefer to get this monthly source of data engineering information delivered straight to your inbox each month, you can subscribe to the newsletter here. News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. That wraps up June’s Data Engineering Annotated.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. Here’s what’s happening in the world of data engineering right now. This time I learned about Brooklin, a LinkedIn service for streaming data in a heterogeneous environment. They have their algorithm.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

OCTOBER 10, 2022

News A lot of engineering is about learning new things and keeping a finger on the pulse of new technologies. Here’s what’s happening in the world of data engineering right now. This time I learned about Brooklin, a LinkedIn service for streaming data in a heterogeneous environment. They have their algorithm.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

ProjectPro

FEBRUARY 25, 2022

It is a beautiful technique for implementing data science projects that allow businesses to increase their projects’ efficiency minimize the risk of introducing machine learning, artificial intelligence, and data-science-related technologies. These steps are: Cleaning the data and handling different file formats.

Deep Learning 52

Deep Learning Algorithm Machine Learning Data Science 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Why use PySpark?

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

JUNE 26, 2023

According to PwC Customer Loyalty Survey 2022 , four out of five people are willing to share some personal information — like age or date of birthday — for a better experience. Key questions to answer for data collection. Find sources of relevant data. Choose data collection methods and tools. No wonder only 0.5

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52