Rockset

MAY 12, 2022

We'll be publishing more posts in the series in the near future, so subscribe to our blog so you don't miss them! Similarly, when LinkedIn upgraded its real-time FollowFeed to an ALT data architecture, it boosted query speeds and data retention while slashing the number of servers needed by half.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 103

Systems Hadoop Unstructured Data Media 103

Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. The third element in the process is the connection between the data products and the collection of analytics applications to provide business results. What is a data fabric?

Data Lake 81

Data Lake Analytics Application Cloud Storage Architecture 81

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. The post You Can’t Hit What You Can’t See appeared first on Cloudera Blog. Source: IDC .

Data Lake 83

Data Lake Data Pipeline Data Governance Analytics Application 83

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

The trend towards powerful in-house cloud platforms for data and analysis ensures that large volumes of data can increasingly be stored and used flexibly. New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications.

Architecture 52

Architecture Database-centric Process BI 52

Striim

NOVEMBER 8, 2023

What are the four principles of a Data Mesh, and what problems do they solve? A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. To address this problem, using a data mesh and tangential Data Mesh data architectures are rising in popularity.

Architecture 52

Architecture Generalist Government Datasets 52

Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. There’s enough content here for its own blog post, but we’ll cover the high-level differences briefly.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52