Snowflake

NOVEMBER 29, 2023

Next-generation sequencing (NGS) technology has dramatically dropped the price of genomic sequencing, from about $1 million in 2007 to $600 today per whole genome sequencing (WGS). Snowflake has a role to play in accelerating the creation of FAIRified data products, namely, data storage, data processing, collaboration and productization.

Metadata 89

Metadata Healthcare Medical Data Storage 89

Knowledge Hut

NOVEMBER 28, 2023

The company also creates database development tools and middle-tier software systems, as well as enterprise resource planning (ERP) software, customer relationship management (CRM) software, and supply chain management (SCM) software. They also have a cloud storage service. It was founded in 2007 by Sachin Bansal and Binny Bansal.

Software Engineer 97

Software Engineer Software Engineering Engineering Electronics 97

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

Data Lake 74

Data Lake Data Warehouse Hadoop Architecture 74

Knowledge Hut

JUNE 30, 2023

This article suggests the top eight data engineer books ranging from beginner-friendly manuals to in-depth technical references. What is Data Engineering? It refers to a series of operations to convert raw data into a format suitable for analysis, reporting, and machine learning which you can learn from data engineer books.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

JULY 21, 2021

As a big data architect or a big data developer, when working with Microservices-based systems, you might often end up in a dilemma whether to use Apache Kafka or RabbitMQ for messaging. Apache Kafka and RabbitMQ are messaging systems used in distributed computing to handle big data streams– read, write, processing, etc.

Kafka 52

Kafka Big Data Java Architecture 52

Rockset

JANUARY 23, 2020

While traditional RDBMS databases served well the data storage and data processing needs of the enterprise world from their commercial inception in the late 1970s until the dotcom era, the large amounts of data processed by the new applications—and the speed at which this data needs to be processed—required a new approach.

Database 40

Database MySQL Kafka NoSQL 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. Morris and B.J. Truskowski. Truskowski.

Big Data 40

Big Data Unstructured Data Hadoop NoSQL 40