Knowledge Hut

MARCH 7, 2024

With the rise in opportunities related to Big Data, challenges are also bound to increase. Below are the 5 major Big Data challenges that enterprises face in 2024: 1. The Need for More Trained Professionals Research shows that since 2018, 2.5 Two, it creates a commonality of data definitions, concepts, metadata and the like.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Cloudera

MARCH 3, 2022

s Information Commissioner’s Office fined Marriott International over £99 million ($136 million) for violating the General Data Protection Regulation (GDPR), a European law governing data safety. stemmed from a 2018 data breach, when the global hotel chain’s 339 million customers’ data was exposed.

Data Governance 98

Data Governance Government Metadata Medical 98

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Cloudera

MAY 2, 2022

This is not just to implement specific governance rules — such as tagging, metadata management, access controls, or anonymization — but to prepare for the potential for rules to change in the future. . Designing an enterprise data architecture in anticipation of such regulatory changes is challenging.

Cloud 101

Cloud Government Healthcare Metadata 101

AltexSoft

NOVEMBER 23, 2021

Implementing data virtualization requires fewer resources and investments compared to building a separate consolidated store. Enhanced data security and governance. All enterprise data is available through a single virtual layer for different users and a variety of use cases. ETL in most cases is unnecessary.

Process 69

Process Data Lake Metadata Data Warehouse 69

phData: Data Engineering

DECEMBER 16, 2021

In blog 3 , we’ll look into: What data catalog options are available? How to continue your data catalog journey after launch? What is a Data Catalog and Why is it Important? A data catalog is a tool to store and access metadata about your data. Is the data you found any good? What is Metadata?

Metadata 52

Metadata Datasets Data Accessible 52

Cloudera

JANUARY 22, 2019

Data catalogs are essential for sharing knowledge about distributed data, and for improving data quality, trust, and governance. Cloudera’s shared data catalog defines and preserves structure and business context of distributed, heterogeneous data across the analytics life cycle enabling data consumers to extract business value.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44