RandomTrees

SEPTEMBER 23, 2024

In the first part of Data Governance with Unity Catalog , we explored the fundamentals of Unity Catalog, including its core features, advantages, and a comparison with other data catalog tools. Let’s further unlock the potential of Unity Catalog as we explore these essential aspects of data governance.

Data Governance 52

Data Governance Government Scala Data 52

Precisely

DECEMBER 8, 2023

As you strive to achieve higher levels of data integrity, data governance becomes imperative. What is Data Governance? Robert Seiner, author of Non-Invasive Data Governance and founder of KIK Consulting, defines data governance as “the execution and enforcement of authority over data.”

Data Governance 69

Data Governance Government Datasets Programming 69

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance.

Data Governance 99

Data Governance Government Metadata Medical 99

Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 84

Data Governance Government Metadata Data Security 84

Data Engineering Podcast

JUNE 5, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking all of that information into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Go to dataengineeringpodcast.com/atlan today to learn more about how you can take advantage of active metadata and escape the chaos.

Data Security 100

Data Security Metadata MongoDB Scala 100

Cloudera

MARCH 9, 2021

Governance and the sustainable handling of data is a critical success factor in virtually all organizations. While Cloudera Data Platform (CDP) already supports the entire data lifecycle from ‘Edge to AI’, we at Cloudera are fully aware that enterprises have more systems outside of CDP. Extending Atlas’ metadata model.

Data Governance 95

Data Governance Government Metadata Datasets 95

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

NOVEMBER 15, 2024

With flexible schema and partitioning, Iceberg tables can scale to handle petabytes of data while compressing logs to save on storage costs. The metadata-driven approach ensures quick query planning so defenders don’t have to deal with slow processes when they need fast answers.

Metadata 83

Metadata Unstructured Data Data Lake Government 83

Snowflake

JULY 25, 2024

Cortex Search offers state-of-the-art semantic and lexical search over your text data in Snowflake behind an intuitive user interface, and it comes with the robust security and governance features that Snowflake is known for. It’s optimized for low latency, making it an ideal backend for interactive end user applications.

Unstructured Data 113

Unstructured Data Metadata Government SQL 113

Cloudera

APRIL 2, 2024

It’s been said that the Federal Government is one of, if not the largest, producer of data in the United States, and this data is at the heart of mission delivery for agencies across the civilian to DoD spectrum. FedRAMP requires that we meet strict security standards to protect government data.

Designing 100

Designing Process Government Metadata 100

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

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 ? How do we govern all these data products and domains ? Data Security & Access management : who has access to this data ?

Technology 130

Technology Architecture Google Cloud Metadata 130

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

Cloudera

NOVEMBER 15, 2024

With flexible schema and partitioning, Iceberg tables can scale to handle petabytes of data while compressing logs to save on storage costs. The metadata-driven approach ensures quick query planning so defenders don’t have to deal with slow processes when they need fast answers.

Metadata 59

Metadata Unstructured Data Data Lake Government 59

Precisely

MAY 13, 2024

The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions. In most cases, authorized users should be able to add sources and targets at the click of a button, without custom programming. How much time is required from me for this process? #3.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Cloudera

MAY 2, 2022

As digital transformation accelerates, and digital commerce increasingly becomes the dominant form of all commerce, regulators and governments around the world are recognizing the increased need for consumer protections and data protection measures.

Cloud 102

Cloud Government Healthcare Metadata 102

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing digital transformation. Governing for compliance.

Government 56

Government Data Governance Data Science Machine Learning 56

Snowflake

JULY 25, 2024

Cortex Search offers state-of-the-art semantic and lexical search over your text data in Snowflake behind an intuitive user interface, and it comes with the robust security and governance features that Snowflake is known for. It’s optimized for low latency, making it an ideal backend for interactive end user applications.

Unstructured Data 52

Unstructured Data Metadata Government Database 52

Cloudera

DECEMBER 16, 2022

Our open, interoperable platform is deployed easily in all data ecosystems, and includes unique security and governance capabilities. Many of our customers use multiple solutions—but want to consolidate data security, governance, lineage, and metadata management, so that they don’t have to work with multiple vendors.

Database 90

Database Cloud Systems Management 90

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

Ascend.io

FEBRUARY 28, 2024

Metadata Management for Enhanced Machine Interpretation Data engineering extends its importance to the realm of metadata management, providing AI models with essential context about data definitions, classifications, and governance policies.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Rockset

MARCH 18, 2024

There are several challenges that emerge when building real-time RAG pipelines: Real-time delivery of embeddings & updates Real-time metadata filtering Scale and efficiency for real-time data In the following sections, we’ll discuss these challenges broadly and delve into how they apply more specifically to vector search and vector databases.

Cloud 64

Cloud Building Metadata Kafka 64

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

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Keep data lineage secure and governed.

Manufacturing 111

Manufacturing Retail Entertainment Government 111

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. 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.

Banking 84

Banking Management Data Lake Professional Services 84

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

Ascend.io

JULY 23, 2024

This helps the AI tools provide more contextual and relevant outputs, improving their utility without compromising critical data security. Metadata Access: This level involves granting AI systems access to operational metadata, which includes information related to the day-to-day data operation.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Cloudera

NOVEMBER 5, 2020

How do you control data privacy and protect against data breaches when the data is spread across so many different systems? The ideal solution would maintain centralized security and governance controls while enabling individual business units to quickly provision capacity and customize their environment to meet their needs.

Cloud 74

Cloud Data Lake Data Warehouse Metadata 74

AltexSoft

FEBRUARY 11, 2023

If KPI goals are not met, a data architect recommends solutions (including new technologies) to improve the existing framework. Besides, it’s up to this specialist to guarantee compliance with laws, regulations, and standards related to data. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

MARCH 31, 2021

Customers who have chosen Google Cloud as their cloud platform can now use CDP Public Cloud to create secure governed data lakes in their own cloud accounts and deliver security, compliance and metadata management across multiple compute clusters. Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 93

Google Cloud Cloud Amazon Web Services Cloud Storage 93

Cloudera

APRIL 21, 2022

MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately. The DoD is the federal government’s largest agency and one of the most complex organizations in the world. Shared catalog of data, metadata aids compliance requirements. million retirees, 1.3

Electronics 86

Electronics Medical Hospitality Insurance 86

Data Engineering Podcast

FEBRUARY 13, 2022

You can observe your pipelines with built in metadata search and column level lineage. What are some of the data privacy primitives that you include to assist with data security/regulatory concerns? What is the process of getting started with Rudderstack as a software or data platform engineer?

Building 100

Building Hadoop Data Pipeline Metadata 100

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

AltexSoft

NOVEMBER 23, 2021

This often results in data inconsistencies and duplications as users demand more data views. Security and governance issues exist as sometimes sensitive data can’t be moved into the cloud or a centralized store, remaining in its native location. Enhanced data security and governance.

Process 69

Process Data Lake Metadata Data Warehouse 69

LinkedIn Engineering

JUNE 2, 2023

Sharing economic data with the government and multilateral partners. LinkedIn’s members rely on the platform to keep their data secure, and it is essential that the EGRI team takes appropriate measures to ensure that member privacy is protected at all times.

Building 75

Building Banking Datasets Media 75

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. Data Privacy and Compliance Issues The growing significance of regulations like GDPR has made compliance more important than ever.

Data Governance 40

Data Governance Data Cleanse Government Data Science 40