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

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Programming Healthcare 52

Cloudera

OCTOBER 26, 2020

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. . Quickly onboard data.

Data Security 117

Data Security IT Unstructured Data Government 117

Cloudera

DECEMBER 20, 2021

Judges were looking at how organizations tackled modeling & reduced business risk, prevented fraud, met regulatory compliance, established fully governed data marketplaces, and more. . The platform is centralizing the data, data management & governance, and building custom controls for data ingestion into the system.

Government 89

Government Data Security Banking Metadata 89

Monte Carlo

JANUARY 17, 2023

With the rise of GDPR and other compliance measures, data security is under more scrutiny than ever before. Yet as organizations invest in more data and more data accessibility, keeping all that data safe and well-maintained has never been more challenging. Table of Contents What is data governance?

Data Governance 40

Data Governance Government Building Data Storage 40

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

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. Classifications can also be used to indicate whether a table contains Personal Identifiable Information (PII).

Data Governance 95

Data Governance Government Metadata Datasets 95

Knowledge Hut

MARCH 7, 2024

Below are the 5 major Big Data challenges that enterprises face in 2024: 1. exabytes) of information is being generated every day. The previous two years have seen significantly more noteworthy increments in the quantity of streams, posts, searches and writings, which have cumulatively produced an enormous amount of data.

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. What’s the new buzz?”

Data Governance 130

Data Governance Government Banking Business Intelligence 130

Snowflake

OCTOBER 14, 2024

Business leaders must move on this quickly to combat the concerns with AI adoption, such as data security and cost, and establish the foundation they need to deliver on the technology’s promise. To navigate this landscape, organizations must establish a governance framework that fosters trust while ensuring compliance.

Data Governance 68

Data Governance Government Data Data Security 68

François Nguyen

JANUARY 18, 2021

To finish the trilogy (Dataops, MLops), let’s talk about DataGovOps or how you can support your Data Governance initiative. In every step,we do not just read, transform and write data, we are also doing that with the metadata. Last part, it was added the data security and privacy part.

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

Snowflake

JUNE 29, 2023

Department of Defense (DoD) Provisional Authorization (PA) by the Defense Information Systems Agency (DISA) at Impact Level 4 (IL4) on the Snowflake AWS GovCloud West Region. What this means for the defense community Data is a strategic asset. government-designated regions. government-designated regions.

Education 52

Education Government Data Lake Data Security 52

Snowflake

JUNE 27, 2024

But RelationalAI saw a different paradigm enabled by the emergence of the AI Data Cloud: creating tools that can work where the data lives, inside a company’s Snowflake account, so every team, group leader, organization and executive can combine the data they have in Snowflake with knowledge about the business to make better-informed decisions.

Data Governance 109

Data Governance Algorithm Government Cloud 109

Snowflake

NOVEMBER 7, 2023

government found as many as 32% of businesses and 24% of charities suffered online breaches or cyberattacks in the last 12 months. In this increasingly interconnected world, national stability depends on thoughtful data governance and safeguarding. Research from the U.K. What is CE+ Certification?

Certification 83

Certification Government Data Security Education 83

Snowflake

JULY 31, 2024

Letting go of legacy The ability to align research data with universally accepted data standards, such as the OHDSI OMOP Common Data Model , is a strategic imperative for AMCs. Each of these data types can require specialized software packages, hardware environments and data processing techniques.

Medical 86

Medical Healthcare Insurance Hospitality 86

Cloudera

JUNE 6, 2024

Unreliable data leads to unreliable AI models, like building a house on a foundation of sand that might shift and collapse. On the other hand, trusted data is like building a house on solid concrete by ensuring AI models are trained on traceable and accurate information, enabling them to establish patterns and deliver dependable results.

Banking 81

Banking Data Lake Finance Data Governance 81

Ascend.io

JULY 11, 2024

Metadata is the information that provides context and meaning to data, ensuring it’s easily discoverable, organized, and actionable. It enhances data quality, governance, and automation, transforming raw data into valuable insights. This is what managing data without metadata feels like. Chaos, right?

Metadata 52

Metadata IT Government High Quality Data 52

Knowledge Hut

APRIL 25, 2024

Data analytics is exploding in boardrooms all over the world, offering enterprise-wide commercial success techniques. Gaining the appropriate expertise, which results in information, enables organizations to develop a competitive edge, which is crucial for enterprises to successfully leverage Big Data.

Big Data 52

Big Data Data Analytics Manufacturing Retail 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

Databand.ai

AUGUST 30, 2023

DataOps practices help organizations establish robust data governance policies and procedures, ensuring that data is consistently validated, cleansed, and transformed to meet the needs of various stakeholders. One key aspect of data governance is data quality management.

Data Governance 52

Data Governance Data Pipeline Government Business Analyst 52

Cloudera

AUGUST 30, 2022

While heavy regulations have always existed in financial services, data regulatory compliance standards have been heightened significantly and laws in this space are constantly evolving. Providers should also examine the data governance approach required to manage the chosen environments adequately.

Cloud Storage 105

Cloud Storage Government Data Governance Retail 105

Christophe Blefari

JUNE 16, 2023

I'm not informed enough so I'll wait before giving my opinion on it. 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. Also called GDPR 2.0

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Precisely

JANUARY 27, 2023

Data plays a central role here. Powerful customer engagement hinges on high levels of data integrity, effective data governance programs, and a clear vision of how CX can be a differentiator. Innovative CX Chief Customer Service Experience Officer Bob Azman puts it this way: “Everybody is collecting lots of data.

High Quality Data 105

High Quality Data Data Governance Government Banking 105

Databand.ai

AUGUST 30, 2023

Unifying these various components of the data lifecycle under a single overarching framework allows organizations to enjoy better collaboration, quicker project time-to-value, and enhanced overall efficiency. However, unified DataOps can be complex to implement, and requires careful enterprise-wide planning.

Data Governance 40

Data Governance Data Cleanse Government Data Science 40

RandomTrees

JUNE 29, 2024

In today’s data-driven world, organizations are increasingly turning to advanced analytics to gain deeper insights and make informed decisions. Power BI, Microsoft’s powerful business analytics tool, offers a robust platform for harnessing the full potential of data.

BI 59

BI Machine Learning Government Data Analysis 59

RandomTrees

JUNE 29, 2024

In today’s data-driven world, organizations are increasingly turning to advanced analytics to gain deeper insights and make informed decisions. Power BI, Microsoft’s powerful business analytics tool, offers a robust platform for harnessing the full potential of data.

BI 52

BI Machine Learning Government Data Analysis 52

Snowflake

JULY 9, 2024

A happy medium is often found when data remains distributed across the organization but is coordinated through strong data governance and processes to identify and prioritize its use. How can we acquire the external data we need? Can we collaborate across a broader data ecosystem?

Government 86

Government Education Data Governance Unstructured Data 86

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. This partnership establishes a data efficiency center of excellence focused on AI & Automation tooling alongside best practices to ensure organizations maximize their data ROI. “Our collaboration with Ascend.io

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Identify and address bottlenecks and performance issues.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Snowflake

FEBRUARY 5, 2024

And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.

Unstructured Data 104

Unstructured Data Banking Government Insurance 104

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. On the other hand, Data Mesh empowers teams and promotes data ownership and specialized governance.

Data Integration 52

Data Integration Data Government Data Governance 52

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. Designing an enterprise data architecture in anticipation of such regulatory changes is challenging. One of the key characteristics of a hybrid data platform is cross-platform security and governance.

Cloud 102

Cloud Government Healthcare Metadata 102

Monte Carlo

SEPTEMBER 17, 2024

Your company has mountains of data, and every department wants it. Marketing wants a view into everything, sales wants all of their information instantly, and compliance wants it all to be locked deep in a vault underground. Data owner responsibilities are, primarily, to keep all of these people happy. Let’s dive into how.

Accessible 52

Accessible Accessibility Government Data 52

Snowflake

JULY 31, 2024

Letting go of legacy The ability to align research data with universally accepted data standards, such as the OHDSI OMOP Common Data Model , is a strategic imperative for AMCs. Each of these data types can require specialized software packages, hardware environments and data processing techniques.

Medical 52

Medical Healthcare Insurance Hospitality 52

Snowflake

MARCH 5, 2024

While every organization should keep both options on the table, to quickly deliver value, the key is to identify and deploy use cases that can deliver value using prompt engineering and retrieval augmented generation (RAG), as these can be fast and cost-effective approaches to get value from enterprise data with LLMs.

Government 99

Government AWS Data Preparation Data Governance 99

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cloud 87

Cloud Government Cloud Computing Data Architecture 87

Databand.ai

JULY 19, 2023

Another way data ingestion enhances data quality is by enabling data transformation. During this phase, data is standardized, normalized, and enriched. Data enrichment involves adding new, relevant information to the existing dataset, which provides more context and improves the depth and value of the data.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52