Cloudera

OCTOBER 26, 2020

Just like when it comes to data access in business. Enabling data access for end-users so they can drive insight and business value is a typical area of compromise between IT and users. Data access can either be very secure but restrictive or very open yet risky. Quickly onboard data.

Data Security 117

Data Security IT Unstructured Data Government 117

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

Knowledge Hut

MARCH 7, 2024

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. However, regulating access is one of the primary challenges for companies who frequently work with large sets of data.

Big Data 87

Big Data Bytes Data Governance Raw Data 87

Snowflake

SEPTEMBER 11, 2023

Among the many reasons Snowflake is integral to an organization’s data strategy is the out-of-the-box security-related features. In today’s rapidly changing regulatory and compliance landscape, use of these features allows customers to keep critical data secure and monitor that data for auditing purposes.

Cloud 73

Cloud Electronics Government Data Governance 73

Knowledge Hut

APRIL 25, 2024

Data Integration Data integration is the process of combining information from several sources to give people a cohesive perspective. The fundamental idea behind data integration is to open up data and make it simpler for individuals and systems to access, use, and process.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Snowflake

DECEMBER 11, 2023

Snowflake is now one of a few select CSPs to be granted FedRAMP High authorization, which includes 400+ security controls and is considered the security standard to protect the federal government’s most sensitive unclassified data across cloud computing environments.

AWS 83

AWS Hospitality Education Government 83

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. What data do we have ?

Data Governance 130

Data Governance Metadata Government Data Pipeline 130

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 75

Certification Government Data Security Education 75

Monte Carlo

MARCH 13, 2024

Let’s dig in and explore the landscape of the top so-called “data quality tools” — what they are, what they’re not, and whether they’re the right first step towards more reliable data. Governance helps companies set important standards and achieve higher levels of data security, data accessibility, and data quality.

Data Governance 52

Data Governance Government Metadata Data 52

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 78

Data Governance Government Generalist Data Engineering 78

Databand.ai

AUGUST 30, 2023

The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? It gives an anwser to what do we have , where is the data (its address) how many objects do we have ? who are our active users ?

Architecture 130

Architecture Technology Google Cloud 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 Engineering 98

Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

Data Lake 87

Data Lake Government Data Storage Kafka 87

Knowledge Hut

APRIL 23, 2024

Big Data vs Small Data: Privacy and Security Big Data: Large Data vs Big Data analysis poses challenges in maintaining data privacy and security. With the scale and diversity of data involved, protecting sensitive information and ensuring data security becomes more complex.

Big Data 52

Big Data Datasets Data Analysis Media 52

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. This makes it more valuable and easy to access for everyone in the organization.

Data Integration 52

Data Integration Government Data Data Governance 52

Cloudera

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Data security and governance champions – Merck KGaA.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

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

Snowflake

JUNE 29, 2023

What this means for the defense community Data is a strategic asset. As the DoD continues to evolve into a data-centric organization, the challenge becomes how to centralize, analyze, and share data securely, at speed and at scale. government-designated regions.

Education 52

Education Government Data Lake Data Security 52

Cloudera

AUGUST 30, 2022

Providers should also examine the data governance approach required to manage the chosen environments adequately. At Cloudera, data governance is a key pillar addressed at the foundational level with our Shared Data Experience (SDX). The final step is the choice of the deployment model. Take the first step.

Cloud Storage 102

Cloud Storage Government Data Governance Retail 102

Knowledge Hut

APRIL 23, 2024

Privacy and Security Concerns The chances of data in large volumes being vulnerable to security threats, data breaches, and cyberattacks are quite high. Unless it is safeguarded via modern tech means, data security is a very real threat. Costs Every activity related to big data brings significant costs.

Big Data 52

Big Data Media Government Big Data Skills 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. This demands the implementation of advanced data integration techniques, such as real-time streaming ingestion, batch processing, and API-based access.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Precisely

JULY 31, 2023

In the context of improving their organizations’ data integrity , respondents cite data quality and data integration as priorities for 2023 and as challenges to data integrity. Let’s explore more of the report’s findings around data integrity maturity, challenges, and priorities.

Data Integration 52

Data Integration Telecommunication Data Governance Government 52

Databand.ai

JULY 19, 2023

Data Discovery The purpose of data discovery is to find, understand, and access data from numerous sources. It is the exploratory phase where you identify what data is available, where it is coming from, and how it can be used to benefit your organization. How can we access it? Where is it stored?

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Snowflake

FEBRUARY 5, 2024

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. Rinesh Patel, Snowflake’s Global Head of Financial Services 2. “By

Unstructured Data 92

Unstructured Data Banking Government Insurance 92

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

Cloudera

JUNE 22, 2023

The top-line benefits of a hybrid data platform include: Cost efficiency. A hybrid data platform enables the preservation of existing investments in legacy applications and workloads without modifying them. It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud.

Data Cleanse 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

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. What is RAG?

Government 87

Government AWS Data Preparation Data Governance 87

François Nguyen

MARCH 7, 2021

Now you have these data domains, you will need to personify it with a Data Domain Owne r. You will find many definitions of what a Data Domain Owner should do. Some are with a strong Data Governance flavour very focus on glossaries, data quality and data stewardship.

Government 130

Government Data Governance Data Metadata 130

Snowflake

MARCH 28, 2023

The general rule of thumb has been that about 70% of data lies unused within the enterprise—much of it unstructured in emails, chats, reports, or customer service transcripts. As data product thinking collides with new tools such as machine learning and cognitive search, these data sources will become increasingly accessible.

Finance 86

Finance Data Governance Data Retail 86

Monte Carlo

MAY 31, 2023

A variety of factors can threaten the integrity of your data, from human error and ineffective training to a lack of security and liberal data access. A data integrity framework is a system of processes and technologies that work together to improve data quality, security, and compliance at scale.

Building 52

Building Data Validation Healthcare Data Integration 52

Snowflake

MARCH 23, 2023

In addition to end-to-end encryption for data in transit and at rest, we offer Tri-Secret Secure , which provides the ability to compose the account master key (used to encrypt all keys in hierarchy) from a combination of a Snowflake-maintained key and a customer-managed key.

Government 69

Government Data Governance Certification Programming 69

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. Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Towards Data Science

DECEMBER 4, 2023

Data Marts There is a thin line between Data Warehouses and Data Marts. Data must be accessible and tailored to specific business units requirements. Data models are built around business needs. Data marts are specialized subsets of data warehouses that focus on specific business functions.

Data Engineering 86

Data Engineering Data Engineer Engineering Data Lake 86

Snowflake

FEBRUARY 21, 2023

Financial institutions also continue to be challenged to understand and identify PII to prevent inadvertently disclosing it, all while working to implement data governance policies, which result in better accountability and help identify risks while staying true to business initiatives.

Banking 57

Banking Finance Data Governance Government 57

Knowledge Hut

MARCH 28, 2024

Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Snowflake

JUNE 26, 2023

We’re back for the Partner Summit at the world’s largest data, apps, and AI conference, Snowflake Summit ! The incredible advancements we have made in data accessibility, monetization, and generative AI would never have been possible without Snowflake’s vibrant and innovative partner ecosystem.

Entertainment 54

Entertainment Retail Healthcare Business Intelligence 54