LinkedIn Engineering

OCTOBER 19, 2023

This robust framework empowers near real-time data processing for critical services and platforms, ranging from machine learning and notifications to anti-abuse AI modeling. In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Cloudera

MARCH 23, 2022

Figure 1: Apache Iceberg fits the next generation data architecture by abstracting storage layer from analytics layer while introducing net new capabilities like time-travel and partition evolution. #1: 1: Multi-function analytics . 1: Multi-function analytics .

Metadata 88

Metadata Data Architecture BI Machine Learning 88

Snowflake

MAY 22, 2023

Grow Your Business in the Data Cloud Timed Trials for paid listings – general availability Timed Trials allow providers of paid listings to set a specific time window during which consumers can sample the product provided in the listing at no charge. Read our announcement blog post for more. Learn more here.

Healthcare 52

Healthcare Scala Medical Transportation 52

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. What is a Data Science Platform? They are: 1.

Data Science 52

Data Science Google Cloud AWS Programming Language 52

Cloudera

MAY 22, 2018

Why Enterprises Need to Unify ML, Analytics, and Cloud. Times are changing, and the traditional models of analytics and data management don’t serve the needs of the modern enterprise, so the way to address these topics is changing too. Much better to focus on higher value, differentiated strategy.

Building 40

Building Data Warehouse Government Business Analyst 40

ProjectPro

NOVEMBER 15, 2021

This blog will walk through the most popular and fascinating open source big data projects. When any particular project is open-sourced, it makes the source code accessible to anyone. Anyone can freely use, study, modify and improve the project, enhancing it for good.

Big Data 52

Big Data Project Metadata Programming Language 52

Maxime Beauchemin

MARCH 8, 2021

Simply put, open source is a superior approach at building and distributing software because it provides important guaranties around how software can be discovered, tried, operated, collaborated on and packaged. With Tableau’s “Live Mode” misbehaving in intricate ways at the time (I won’t get into this!)

Business Intelligence 130

Business Intelligence BI Database-centric Google Cloud 130