Precisely

SEPTEMBER 15, 2023

Data governance is no trivial undertaking. When executed correctly, data governance transitions businesses from guesswork to data-informed strategies. For those who follow the right roadmap on their data governance journey, the payoff can be enormous. Users need to know where to find data, and they need timely access to it.

Data Governance 52

Data Governance Government Programming Data 52

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. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access. What is Data Governance?

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Data Governance Government Data Cleanse Data Security 59

Precisely

SEPTEMBER 5, 2023

However, to get optimal value from your organization’s data, you need to apply the discipline of data governance to your MDM. Although MDM serves a vitally important function by ensuring the shared master data is managed correctly and is fit for purpose, it does not offer the same benefits as a full-blown data governance program.

Data Governance 52

Data Governance Government Data Management Management 52

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 101

Designing Process Government Metadata 101

Cloudera

APRIL 18, 2024

In those discussions, it was clear that everyone understood the need to treat data estates more cohesively as a whole—that means bringing more attention to security, data governance, and metadata management, the latter of which has become increasingly popular.

Metadata 110

Metadata Government Data Governance Data 110

Precisely

MAY 13, 2024

Integrated data catalog for metadata support As you build out your IT ecosystem, it’s important to leverage tools that have the capabilities to support forward-looking use cases. It synthesizes all the metadata around your organization’s data assets and arranges the information into a simple, easy-to-understand format.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

François Nguyen

MARCH 22, 2021

How do we govern all these data products and domains ? and he/she has different actions to execute (reading, calling a vision API, transform, create metadata, store them, etc…). 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 ?

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. Who has an access to this Data ? It is well illustrated and it is really the fouding article.

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Data Governance Metadata Government Data Pipeline 130

The Modern Data Company

APRIL 15, 2024

Manages information about data access and monitors data quality. It’s a combination of the data itself, the metadata (information about the data), code (the set of instructions on how to process or analyze the data), and infrastructure (the technological framework that supports it all).

Government 52

Government Metadata Data Data Lake 52

Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. Lack of adequate data governance Data collected from multiple sources should have some correlation to each other so that it can be considered usable by enterprises. This itself could be a challenge for a lot of enterprises.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). The data is protected but it is also accessible by the people who need it.

Metadata 82

Metadata Government Data Lake Data 82

Snowflake

APRIL 29, 2024

ICT Risk Management Framework and Governance FEs’ leadership teams must define a risk management strategy, inclusive of both their internally managed critical systems and the risks associated with their ICT providers. Data Governance: Snowflake also offers a comprehensive list of data governance features.

Transportation 85

Transportation Data Governance Government Consulting 85

Data Engineering Podcast

FEBRUARY 19, 2023

Your host is Tobias Macey and today I'm interviewing Ryan Blue about the evolution and applications of the Iceberg table format and how he is making it more accessible at Tabular Interview Introduction How did you get involved in the area of data management?

IT 147

IT Data Lake Metadata Data Warehouse 147

Monte Carlo

JANUARY 29, 2024

It’s another thing to be able to effectively manage, govern and observe it over the long haul. By leveraging the metadata made available in Snowflake, Monte Carlo can automatically detect freshness and volume anomalies within days of deployment, without any additional configuration. Volume: Are there too many or too few rows?

Metadata 64

Metadata High Quality Data Data Pipeline Machine Learning 64

Monte Carlo

MAY 18, 2023

Whether you’re a data scientist, data engineer, or business analyst, keeping track of your data’s origin, transformation, and movement is crucial for maintaining transparency, enforcing data governance, and ensuring data quality. You may even already have access to one of them. Why do you need data lineage?

Metadata 64

Metadata Data Lake Government Data Governance 64

Data Engineering Podcast

JULY 31, 2022

Because of its centrality to your data systems it is valuable for debugging, governance, understanding context, and myriad other purposes. Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities.

IT 100

IT Metadata MongoDB MySQL 100

Precisely

JUNE 6, 2023

Tendü Yogurtçu offered that organizations today are viewing data as a product, and they are working to streamline access to both data and metadata for faster insights that help business users deliver tangible value. To create more value from data, organizations must take a very proactive approach to data integrity.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Cloudera

AUGUST 10, 2021

SDX enhancements for improved platform and data governance, including the following notable features: . Impala Row Filtering to set access policies for rows when reading from a table. Figure 1: sales group SELECT access. This helps simplify Impala queries and provides row-level security for each table. x, and 6.3.x,

Cloud 96

Cloud Kafka Metadata SQL 96

Precisely

MAY 31, 2023

In the same way that big cloud-platform providers offer simplified access to infrastructure, and data cloud providers like Databricks and Snowflake have vastly simplified access to data and analytics, modern data integrity tools must streamline and automate data integrity processes.

Data Integration 52

Data Integration Metadata Data Governance Data 52

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. Improve Visibility within Supply Chains.

Manufacturing 111

Manufacturing Retail Entertainment Government 111

Cloudera

JUNE 7, 2022

Common security, governance, metadata, replication, and automation enable CDP to operate as an integrated system. As big data has evolved to cloud data and now to hybrid data, it has gotten more complex for businesses to access, use and create value from it.

IT 112

IT Unstructured Data Data Architecture Government 112

Ascend.io

FEBRUARY 28, 2024

Through the design and maintenance of efficient data pipelines , data engineers facilitate the seamless flow and accessibility of data for AI processing. By ensuring data is well-organized and readily accessible, data engineers empower AI systems to deliver targeted and effective solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Snowflake

JUNE 5, 2024

At the same time, organizations must ensure the right people have access to the right content, while also protecting sensitive and/or Personally Identifiable Information (PII) and fulfilling a growing list of regulatory requirements. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data.

Government 98

Government Accessible Accessibility Metadata 98

Data Engineering Weekly

MARCH 24, 2024

The APIs support emitting unstructured log lines and typed metadata key-value pairs (per line). The extracted key-value pairs are written to the line’s metadata. Query clusters support interactive and bulk queries on one or more log streams with predicate filters on log text and metadata.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Databand.ai

JULY 19, 2023

However, their importance has grown significantly in recent years due to the increasing complexity of data architectures and the growing need for data governance and compliance. Metadata Management Metadata, or ‘data about data’, is a crucial component of data management. Data lineage tools are not a new concept.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Monte Carlo

APRIL 24, 2023

However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture. Amazon S3 and/or Lake Formation Amazon S3 is a popular storage platform to build and store data lakes thanks to its high availability and low latency access.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Monte Carlo

FEBRUARY 21, 2023

Improved security and governance When data resides in multiple places in multiple forms across an organization, governing that data and ensuring its security is a constant challenge. A data fabric infuses data governance and security across all forms of data, no matter its origin or destination within the organization.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Improved security and governance When data resides in multiple places in multiple forms across an organization, governing that data and ensuring its security is a constant challenge. A data fabric infuses data governance and security across all forms of data, no matter its origin or destination within the organization.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

phData: Data Engineering

SEPTEMBER 19, 2023

Data Governance and Security By defining data models, organizations can establish policies, access controls, and security measures to protect sensitive data. Want to learn more about data governance? Check out our Data Governance on Snowflake blog! Check out our Data Governance on Snowflake blog!

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Cloudera

DECEMBER 10, 2020

In a multi-tenant environment, many users access the same data sources. The very high degree of compression built into these file formats reduces storage space and time to access storage. These techniques range from distributing concurrent query for overall throughput to metadata caching, data caching, and results caching.

Data Warehouse 98

Data Warehouse Cloud Storage Metadata Data 98

Edureka

MAY 6, 2024

MLOPS basically contains eight components which are Data management, version control, automation, Experiment tracking, ci/cd, monitoring or retraining, provisioning, and Governance. Now, let’s check them one by one: Data Management: Data management focuses on keeping data organized, clean, and accessible.

Machine Learning 52

Machine Learning Metadata Programming Language Healthcare 52

Monte Carlo

JULY 13, 2023

To effectively manage and analyze this data, data engineering teams must navigate a wide range of challenges, including data access, security, compliance, and data observability. The burden of granting and revoking access to data typically falls to the data engineering teams. Automating self-service access.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Monte Carlo

MARCH 4, 2024

To do this, data observability solutions like Monte Carlo will piece together information from query logs, data aggregates and system metadata. All of this is to say that how table formats are structured, and specifically the metadata, impacts how they can be monitored and observed. Now data teams can have their lake and eat it too.

Metadata 52

Metadata Data Lake Data Warehouse Data Engineering 52

Towards Data Science

DECEMBER 1, 2023

However, we will pay particular attention to Access Control (this will be used for dbt access). After the initial sync, you can access your data from the Snowflake UI. There are two ways to access dbt: dbt Cloud and dbt Core. Good documentation provides better data discoverability and governance.

Data Engineering 69

Data Engineering Data Engineer Project Engineering 69

Data Engineering Weekly

MARCH 10, 2024

Google: Croissant- a metadata format for ML-ready datasets Google Research introduced Croissant, a new metadata format designed to make datasets ML-ready by standardizing the format, facilitating easier use in machine learning projects. Pradheep Arjunan - Shared insights on AZ's journey from on-prem to the cloud data warehouses.

Data Engineering 52

Data Engineering Data Engineer Engineering Datasets 52

AltexSoft

AUGUST 29, 2023

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. Data storage and processing The data storage and processing layer is where the ingested data resides and undergoes transformations to make it more accessible and valuable for analysis.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

JUNE 13, 2024

Mutation profiling and the metadata of the patients are used to develop compounds that address the statistical correlation between the attributes. Furthermore, these wearable sensor devices can be tracked by a doctor if given access, and in chronicle cases, the doctor can remotely provide solutions to the patient.

Healthcare 52

Healthcare Data Science Medical Pharmaceutical 52