Cloudera

MAY 9, 2023

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

Data Security 90

Data Security Telecommunication Data Lake Data Governance 90

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Government Management 52

Data Engineering Podcast

OCTOBER 26, 2020

Summary One of the most challenging aspects of building a data platform has nothing to do with pipelines and transformations. If you are putting your workflows into production, then you need to consider how you are going to implement data security, including access controls and auditing.

Data Security 100

Data Security Coding Cloud MongoDB 100

Cloudera

DECEMBER 20, 2021

But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Retrofitting existing solutions to ever-changing policy and security demands is one option. Winner of the Data Impact Awards 2021: Security & Governance Leadership.

Government 90

Government Data Security Banking Metadata 90

Cloudera

OCTOBER 26, 2020

Balancing security and useability. To be able to capitalize on this data storm, organizations must find a better balance between the security and usability related to data access. Founded in good data governance, three fundamental steps ensure access to data is both secure and usable. .

Data Security 118

Data Security IT Unstructured Data Government 118

Data Engineering Podcast

JUNE 5, 2022

In this episode Sean Falconer explains the idea of a data privacy vault and how this new architectural element can drastically reduce the potential for making a mistake with how you manage regulated or personally identifiable information. Can you describe what Skyflow is and the story behind it?

Data Security 100

Data Security Metadata MongoDB Scala 100

phData: Data Engineering

NOVEMBER 1, 2024

In an effort to better understand where data governance is heading, we spoke with top executives from IT, healthcare, and finance to hear their thoughts on the biggest trends, key challenges, and what insights they would recommend. Get the Trendbook What is the Impact of Data Governance on GenAI?

Government 52

Government Data Governance Finance Metadata 52

Cloudera

FEBRUARY 4, 2021

I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Supporting the industry’s risk data depository and data management needs. End-to-end Data Lifecycle. Shared Data Experience (SDX).

Technology 87

Technology Data Management Management Insurance 87

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Jesse Anderson

NOVEMBER 15, 2022

My guest this week is Kulani Likotsi , the Head of Data Management and Data Governance at one of the four biggest banks in Africa. She’s had a rising career journey going from an analyst, to a Business Intelligence developer, to the data warehouse team, to the data governance team.

Data Governance 130

Data Governance Government Banking Business Intelligence 130

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. This can be achieved through the use of automated data ingestion, transformation, and analysis tools.

Data Pipeline 52

Data Pipeline Data Governance Government Business Analyst 52

Ascend.io

JULY 11, 2024

This is what managing data without metadata feels like. Often described as “data about data,” it is the unsung hero in data management that ensures our vast amounts of information are not only stored but easily discoverable, organized, and actionable. Chaos, right?

Metadata 52

Metadata IT Government High Quality Data 52

Databand.ai

AUGUST 30, 2023

Integrating these principles with data operation-specific requirements creates a more agile atmosphere that supports faster development cycles while maintaining high quality standards. Organizations need to establish data governance policies, processes, and procedures, as well as assign roles and responsibilities for data governance.

Data Governance 40

Data Governance Data Cleanse Government Data Science 40

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. . “This partnership is poised to tackle some of the biggest challenges faced by data executives today, including cost optimization, risk management, and accelerating the adoption of new technologies.”

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Knowledge Hut

APRIL 25, 2024

Data management The process of obtaining, storing, and using data in a cost-effective, effective, and secure way is known as data management. As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Precisely

MAY 1, 2023

Virtually every enterprise on the planet invests heavily in data. Integration, data quality, data governance, location intelligence, and enrichment are driving trust and delivering value. How can organizations maximize their ROI on their investments in data integrity?

Food 52

Food Consulting Manufacturing Pharmaceutical 52

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. Toolsets and strategies have had to shift to ensure controlled access to data. At the same time, the need to have a strong layer of security and governance is being highlighted.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Towards Data Science

JUNE 8, 2023

This post will focus on the most common team ownership models including: data engineering, data reliability engineering, analytics engineering, data quality analysts, and data governance teams. Why is data quality ownership important? The governance team treats every team output as a data product.

Data Governance 75

Data Governance Government Generalist Data Engineer 75

François Nguyen

MARCH 7, 2021

In this article, Juan Sequada gives maybe one of the best definition of Data Mesh ” It is paradigm shift towards a distributed architecture that attempts to find an ideal balance between centralization and decentralization of metadata and data management.”

Government 130

Government Data Governance Data Metadata 130

Monte Carlo

JUNE 6, 2023

This post will focus on the most common team ownership models including: data engineering, data reliability engineering, analytics engineering, data quality analysts, and data governance teams. Table of Contents Why is important to answer who is responsible for data quality?

Data Governance 98

Data Governance Government Data Data Engineer 98

Striim

FEBRUARY 19, 2024

Overview of Data Mesh Data Mesh is a decentralized architectural approach designed to address large-scale data management issues by promoting domain-oriented data ownership and self-serve data infrastructure. Data Fabric and Data Mesh have different focuses.

Data Integration 52

Data Integration Data Government Data Governance 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. Privitar will bring "data security" stuff. This is where you should use pre-commit and SQLFluff.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Warehouse 52

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Telecommunication 76

Telecommunication Data Architecture Government Architecture 76

Knowledge Hut

JANUARY 3, 2024

Some of the benefits introduced by cloud solutions include data security, flexibility, efficiency, and high performance. However, the Cloud is not perfect and has its own set of drawbacks when it comes to data management and privacy concerns. Thus, there are various benefits and challenges of cloud computing.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Government 52

Snowflake

FEBRUARY 5, 2024

Mining unstructured data will be key to unlocking novel analytics Companies that can harness unstructured data for gen AI-enabled insights will be able to open up new analytics use cases in every subsector — from banking and asset management to payments and insurance. The possibilities are endless.

Unstructured Data 102

Unstructured Data Banking Government Insurance 102

Precisely

MAY 13, 2024

It synthesizes all the metadata around your organization’s data assets and arranges the information into a simple, easy-to-understand format. Questions to ask each vendor: Does your data integration solution provide access to the metadata? What data governance controls do your solutions have in place?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Databand.ai

JULY 19, 2023

By loading the data before transforming it, ELT takes full advantage of the computational power of these systems. This approach allows for faster data processing and more flexible data management compared to traditional methods. Data governance also involves implementing data lineage and data cataloging.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Databand.ai

JULY 19, 2023

Learn more in our detailed guide to the data ingestion process (coming soon) Best Practices for Effective Data Ingestion Defining Clear Data Governance Policies Data governance involves the overall management of data availability, usability, integrity, and security.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Cloudera

NOVEMBER 1, 2022

Translation: Government agencies — especially those under the Department of Defense (DoD) — have use cases that require data storage and analytic workloads to be maintained on premises to retain absolute control of data security, privacy, and cost predictability. . Learn more about CDP Private Cloud here.

Cloud 88

Cloud Government Cloud Computing Data Architecture 88

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

JULY 24, 2023

Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data. Disruptive database technologies are on them.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

APRIL 23, 2024

Small Data is well-suited for focused decision-making, where specific insights drive actions. Big Data vs Small Data: Storage and Cost Big Data: Managing and storing Big Data requires specialized storage systems capable of handling large volumes of data.

Big Data 52

Big Data Datasets Data Analysis Media 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineer 52

Data Engineer Data Engineering Engineering Programming Language 52

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Federated computational governance: Whether manual or automated, global data governance and security measures ensure protection and compliance throughout domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52