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? Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics.

Systems 103

Systems Hadoop Unstructured Data Media 103

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Development. Syncsort ( Partner Product). Upgrade Team.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

Cloud 87

Cloud IT Data Warehouse AWS 87

Cloudera

NOVEMBER 17, 2022

With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited. Smooth, hassle-free deployment in just six weeks. ” Prior to the upgrade, HBL’s 27 node cluster ran on CDH 6.1

Banking 84

Banking Management Data Lake Professional Services 84

Cloudera

JANUARY 30, 2023

Agency Operations : Much of dark data is produced in day-to-day operations and has the potential to provide deep insight into how to improve operational efficiency for the public sector workforce while reducing costs for citizen services.

Media 82

Media Government Data Lake Professional Services 82

Cloudera

FEBRUARY 7, 2019

The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner. The company has shifted from developing tools to now providing services, which has brought additional productivity and enhanced the customer experience.

Utilities 65

Utilities Big Data Google Cloud Data Analytics 65

Cloudera

AUGUST 9, 2022

As customers import their mainframe and legacy data warehouse workloads, there is an expectation on the platform that it can meet, if not exceed, the resilience of the prior system and its associated dependencies. The goal is to minimize the impact to a customer’s data-driven decision making in the time of an operational crisis.

Data Lake 77

Data Lake Data Warehouse Architecture Data Ingestion 77