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. Contact phData Today!

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. 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

Network operating systems let computers communicate with each other; and data storage grew—a 5MB hard drive was considered limitless in 1983 (when compared to a magnetic drum with memory capacity of 10 kB from the 1960s). The amount of data being collected grew, and the first data warehouses were developed.

Cloud 84

Cloud Cloud Computing Hadoop Data Warehouse 84

Cloudera

MARCH 18, 2021

FRTB is designed to address some fundamental weaknesses that did not get addressed in the post-2008 financial crisis regulatory reforms. There will be an increased volume of data storage required, due to the longer history needed by the ES approach to risk measurement. 30x increase in computational requirements. .

Banking 55

Banking Insurance Machine Learning Data Storage 55

Knowledge Hut

MAY 22, 2024

Putting Availability into Practice Engaging a backup system and a BCDR plan is important for maintaining data availability. Employing cloud solutions like AWS, Azure, or Google Cloud for data storage services is one of the methods by which an organization can enhance the availability of data for its consumers.

IT 98

IT Banking Healthcare Finance 98

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

ProjectPro

AUGUST 26, 2015

The largest item on Claude Shannon’s list of items was the Library of Congress that measured 100 trillion bits of data. 1960 - Data warehousing became cheaper. 1996 - Digital data storage became cost effective than paper - according to R.J.T. 2008 -Google processed 20 petabytes of data in a single day.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40