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. Projections show that the data governance market will expand from $1.81

Data Governance 52

Data Governance Government Programming Healthcare 52

Precisely

OCTOBER 31, 2024

Instead of relying on a central data management team, this architecture empowers your subject matter experts and domain owners to curate, maintain, and share data products that impact their domain. A data fabric weaves together different data management tools, metadata, and automation to create a seamless architecture.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

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

Monte Carlo

JULY 11, 2023

Even if data is accurate within individual records, inconsistencies or discrepancies across different sources or datasets can reduce its overall quality. Inconsistencies may arise due to variations in data formats, coding schemes, or definitions used by different systems or data providers.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

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

Monte Carlo

AUGUST 25, 2023

One advantage of data warehouses is their integrated nature. As fully managed solutions, data warehouses are designed to offer ease of construction and operation. A warehouse can be a one-stop solution, where metadata, storage, and compute components come from the same place and are under the orchestration of a single vendor.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

ThoughtSpot

OCTOBER 9, 2023

How ThoughtSpot builds trust with data catalog connectors For many, the data catalog is still the primary home for metadata enrichment and governance. Think: data descriptions, data quality markers, business owners, etc. Set how often you want the metadata to sync from Alation to ThoughtSpot.

Metadata 105

Metadata Data Government Data Governance 105

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

Monte Carlo

JULY 10, 2023

The same is true with data. If all the information in a data set is accurate and precise, but key values or tables are missing, your analysis won’t be effective. That’s where the definition of data completeness comes in. Be sure to use random sampling to select representative subsets of your data.

Data Collection 40

Data Collection Data Governance Government Data 40

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 ? This is really for us the definition of a self serve platform. What you have to code is this workflow !

Technology 130

Technology Architecture Google Cloud Metadata 130

Monte Carlo

AUGUST 30, 2023

Your test passes when there are no rows returned, which indicates your data meets your defined conditions. Also, remember data governance. Stored test failure data should adhere to your relevant policies or regulations, including data privacy and security, and is only made accessible to the appropriate team members.

SQL 52

SQL Datasets Database High Quality Data 52

Monte Carlo

MAY 14, 2024

At its core, a table format is a sophisticated metadata layer that defines, organizes, and interprets multiple underlying data files. Table formats incorporate aspects like columns, rows, data types, and relationships, but can also include information about the structure of the data itself.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Lyft Engineering

OCTOBER 3, 2023

Data quality is an amorphous term, with various definitions depending on the context. In Verity, we defined data quality as follows: Verity’s Definition of Data Quality The measure of how well data can be used as intended. Five aspects of data quality with the definition in italics and an example in quotes.

Big Data 85

Big Data Metadata Data Warehouse Data 85

Snowflake

JUNE 5, 2024

To help organizations better govern AI, Snowflake Horizon is also advancing security, lineage and sharing capabilities for models. Additional built-in UI’s and privacy enhancements make it even easier to understand and manage sensitive data.

Government 101

Government Accessible Accessibility Cloud 101

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). Cloudera Shared Data Experience (SDX) is a core component of Cloudera Data Platform’s architecture.

Metadata 82

Metadata Government Data Lake Data 82

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. Cube announcements ; Data Graph and Orchestration API — This is 2 announcement from Cube.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

Snowflake

NOVEMBER 11, 2024

Implement better data governance by easily tracking and handling sensitive data The Lineage Visualization Interface (public preview) allows customers to easily track the flow of data and ML assets with an interactive interface in Snowsight.

Data Architecture 77

Data Architecture Architecture Data Lake Kafka 77

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

Databand.ai

AUGUST 30, 2023

Finally, you should analyze the results of your data performance tests and implement any necessary improvements to your data processing systems and infrastructure. Metadata is data about data, such as data definitions, data lineage, and data quality rules, that helps organizations understand and manage their data more effectively.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

DataKitchen

FEBRUARY 2, 2023

A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. And the tools for acting on data are consolidating: Tableau does data prep, Altreyx does data science, Qlik joined with Talend, etc. Can that be done with minimal vendor tools?

Metadata 52

Metadata BI Government Data Science 52

Snowflake

JUNE 4, 2024

New AI governance advancements help organizations better understand, share and secure models. Governed internal collaboration with better discoverability and AI-powered object metadata Snowflake is introducing an entirely new way for data teams to easily discover, curate and share data, apps and now also models (private preview soon).

Government 84

Government Data Ingestion Data PostgreSQL 84

Monte Carlo

MAY 20, 2024

It is primarily concerned with the accuracy and proper usage of data at a micro level. Data Type : Information on whether the element is an integer, string, date, etc. Description : A clear definition of what the data element represents. Allowed Values : A list of acceptable inputs for the data element.

Datasets 52

Datasets Data Government Business Analyst 52

Monte Carlo

FEBRUARY 26, 2024

A data catalog is a constantly updated inventory of the universe of data assets within an organization. It uses metadata to create a picture of the data, as well as the relationships between data assets of diverse sources, and the processing that takes place as data moves through systems.

Metadata 52

Metadata Government Data Data Governance 52

Snowflake

DECEMBER 12, 2023

To give customers flexibility for how they fit Snowflake into their data architecture, Iceberg Tables can be configured to use either Snowflake or an external service such as AWS Glue as the table’s catalog to track metadata, with an easy, one-line SQL command to convert the table’s catalog to Snowflake in a metadata-only operation.

Metadata 93

Metadata Python AWS Government 93

AltexSoft

AUGUST 22, 2022

Support for different data types and use cases. A data fabric supports structured, unstructured, and semi-structured data whether it comes in real-time or generated in batches. It is also driven by metadata, which it uses to recognize patterns, map data, and perform continuous analysis. How data fabric works.

Architecture 52

Architecture Metadata Data Lake Machine Learning 52

Ascend.io

JULY 19, 2023

Process: Building Robust Systems from Data Governance to Product Publishing Just as a well-oiled machine needs precise processes, a successful data mesh needs to establish and adhere to processes regarding data governance, data curation, and data product publishing. Promote cross-domain collaboration.

Data Governance 40

Data Governance Government Metadata Data 40

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. . Improve Visibility within Supply Chains.

Manufacturing 111

Manufacturing Retail Entertainment Government 111

phData: Data Engineering

DECEMBER 16, 2021

While these people are extremely important, establishing a well-balanced team is key to leveraging your data catalog to its fullest potential. We will explore the various actors that can usually be found in a data governance program that could also support your data catalog. How will Human-Driven Metadata be Captured?

Metadata 52

Metadata Datasets Data Education 52

Data Engineering Podcast

NOVEMBER 9, 2020

In this episode Grant Seward explains how he built Tree Schema to be an easy to use and cost effective option for organizations to build their data catalogs. He also shares the internal architecture, how he approached the design to make it accessible and easy to use, and how it autodiscovers the schemas and metadata for your source systems.

Building 100

Building PostgreSQL BI Metadata 100

Monte Carlo

MARCH 16, 2023

How do we instill the sense of quality and timeliness in the data?” As a startup, Best Egg had been focused on proving its business model, not establishing organization-wide data governance. Establish a data governance council to drive consensus Get those key stakeholders involved in a data governance council, Randy advises.

Software Engineering 52

Software Engineering Software Engineer Data Governance Government 52

Cloudera

JANUARY 21, 2022

Auditing has been setup for data in the metastore. System metadata is reviewed and updated regularly. Ideally, the cluster has been setup so that lineage for any data object can be traced (data governance). Key management systems handle encryption keys. Logically, Apache Atlas is laid out as follows: Apache Knox.

Architecture 111

Architecture Transportation Certification Government 111

Monte Carlo

SEPTEMBER 12, 2022

2) Open-source will increasingly infiltrate the data stack While open source isn’t a new trend, it’s definitely an accelerating one. So Maxime predicts that more organizations will do away with the BI-specific semantics altogether, in favor of containing this metadata within the transform layer.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Cloudera

SEPTEMBER 15, 2022

What is a data fabric? Mark: Gartner states that a data fabric “enables frictionless access and sharing of data in a distributed data environment.” The data fabric provides direct support for the first element of the architecture — linking the distributed source data into the hybrid, multi-cloud environment. .

Data Lake 82

Data Lake Analytics Application Cloud Storage Architecture 82

Monte Carlo

MARCH 16, 2023

How do we instill the sense of quality and timeliness in the data?” As a startup, Best Egg had been focused on proving its business model, not establishing organization-wide data governance. Establish a data governance council to drive consensus Get those key stakeholders involved in a data governance council, Randy advises.

Software Engineering 40

Software Engineering Software Engineer Data Governance Government 40

AltexSoft

NOVEMBER 23, 2021

When connecting, data virtualization loads metadata (details of the source data) and physical views if available. It maps metadata and semantically similar data assets from different autonomous databases to a common virtual data model or schema of the abstraction layer. onsuming layer.

Process 69

Process Data Lake Metadata Data Warehouse 69

Cloudera

MARCH 6, 2018

Instead, they have separate data stores and inconsistent (if any) frameworks for data governance, management, and security. If catalog metadata and business definitions live with transient compute resources, they will be lost, requiring work to recreate later and making auditing impossible.

Cloud 40

Cloud Metadata Big Data AWS 40

Monte Carlo

DECEMBER 20, 2023

Data observability adds the ability to monitor metadata and logs from the data systems across your stack for full visibility into anomalous behavior. The good news is data observability doesn’t have to be an all or nothing proposition. A good place to start is to consider your data products.

Architecture 40

Architecture Data Datasets Machine Learning 40