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. Luke: Why is data observability becoming more important for organizations that are implementing a modern data management platform?

Data Lake 84

Data Lake Data Pipeline Analytics Application Architecture 84

Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. This development was crucial for enabling both batch and streaming data workflows in dynamic environments, ensuring consistency and durability in big data processing.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Striim

NOVEMBER 8, 2023

A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani. The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time.

Architecture 52

Architecture Generalist Government Datasets 52

Knowledge Hut

JUNE 30, 2023

Data engineers are experts who specialize in the design and execution of data systems and infrastructure. They have unique skills, including competence in software engineering, data management, and analytics. Key Benefits and Takeaways: Learn the core concepts of big data systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Rockset

AUGUST 4, 2021

Organizations that depend on data for their success and survival need robust, scalable data architecture, typically employing a data warehouse for analytics needs. Snowflake is often their cloud-native data warehouse of choice.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40

ProjectPro

FEBRUARY 16, 2023

Learning SQL can help data engineers work more effectively with data analysts and data scientists as they share a common language for querying and analysing data. Data engineers can extract data from the Hadoop system using Hive and Impala , which offer an SQL-like interface.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

phData: Data Engineering

JULY 18, 2023

To truly understand its potential, we need to explore the benefits it brings, particularly when transitioning from traditional data management structures. Why Migrate to a Modern Data Stack? This centralization streamlines data management. However, merely knowing what it consists of isn’t enough.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52