phData: Data Engineering

NOVEMBER 8, 2024

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Data Engineering Podcast

SEPTEMBER 12, 2021

Summary The Cassandra database is one of the first open source options for globally scalable storage systems. Since its introduction in 2008 it has been powering systems at every scale. Cassandra is primarily used as a system of record. Since its introduction in 2008 it has been powering systems at every scale.

Database 100

Database Metadata Kafka Data Storage 100

Cloudera

JANUARY 26, 2022

Virtual machines came to be, and this meant that several (virtual) environments with their own operating systems could run in one physical computer. . In 2008, Cloudera was born. The Hadoop framework was developed for storing and processing huge datasets, with an initial goal to index the WWW.

Cloud 89

Cloud Cloud Computing Hadoop Data Warehouse 89

Knowledge Hut

MAY 22, 2024

The CIA Triad is a common prototype that constructs the basis for the development of security systems. Contrariwise, an adequate system also assures that those who need to have access should have the required privileges. Fairly simply, availability indicates that networks, systems, and applications are up and operating.

IT 98

IT Banking Healthcare Finance 98

Knowledge Hut

MARCH 27, 2024

APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. Amazon, Microsoft, IBM, and other tech giants use it today as one of the best tools for big data analysis.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

U-Next

AUGUST 25, 2022

Did you know that Wes McKinney developed Python Pandas in 2008 and used it for Py data gathering? Python could prepare data before Pandas compiler but only offered a basic platform for data analytics. Pandas entered the scene and improved data analysis abilities.

Deep Learning 40

Deep Learning Python Data Science Programming Language 40

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.)

Data Engineer 98

Data Engineer Data Engineering Coding Project 98