Cloudera

OCTOBER 11, 2022

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. The takeaway – businesses need control over all their data in order to achieve AI at scale and digital business transformation. First you need the data analytics, data management, and data science tools.

Data Science 90

Data Science Aggregated Data Data Consulting 90

Data Engineering Weekly

OCTOBER 30, 2022

The author narrates the data contract, why it is the foundation for building data mesh, and how it glue data catalogs, glossary and data quality systems. link] Tomasz Tunguz: 9 Predictions for data in 2023 It is almost the end of 2022, and it's time for 2023 predictions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Databand.ai

NOVEMBER 4, 2022

Re-Imagining Data Observability Ryan Yackel 2022-11-04 10:36:35 Data observability has become one of the hottest topics of the year – and for good reason. Data observability provides an end-to-end view into exactly what’s happening with data pipelines across an organization’s data fabric.

Data 52

Data Data Pipeline Retail Metadata 52

Cloudera

DECEMBER 16, 2022

We are pleased to announce that Cloudera has been named a Leader in the 2022 Gartner ® Magic Quadrant for Cloud Database Management Systems. Our open, interoperable platform is deployed easily in all data ecosystems, and includes unique security and governance capabilities. 4-Ready for modern data fabric architectures.

Database 88

Database Cloud Systems Management 88

Airbnb Tech

NOVEMBER 28, 2023

By: Clark Wright Introduction These days, as the volume of data collected by companies grows exponentially, we’re all realizing that more data is not always better. In fact, more data, especially if you can’t rely on its quality, can hinder a company by slowing down decision-making or causing poor decisions.

Data Warehouse 98

Data Warehouse Metadata Data Certification 98

Cloudera

AUGUST 4, 2021

Data governance used to be considered a “nice to have” function within an enterprise, but it didn’t receive serious attention until the sheer volume of business and personal data started taking off with the introduction of smartphones in the mid-2000s. Companies indeed are taking notice.

Data Governance 83

Data Governance Government Metadata Data Security 83

ProjectPro

NOVEMBER 7, 2016

This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing. It has a complete snapshot of the file systems metadata at any time.

Hadoop 40

Hadoop Architecture IT Big Data 40