Data Engineering Podcast

AUGUST 24, 2020

Summary In order to scale the use of data across an organization there are a number of challenges related to discovery, governance, and integration that need to be solved. The key to those solutions is a robust and flexible metadata management system. What is the workflow for populating metadata into DataHub?

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Metadata Management Kafka Data Engineering 100

Data Engineering Podcast

OCTOBER 15, 2021

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. What are some examples of automated actions that can be triggered from metadata changes? How is the governance of DataHub being managed?

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Metadata BI Data Warehouse Government 100

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. When done correctly, data governance delivers a strong return on investment.

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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. In 2019, the U.K.’s

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Data Governance Government Metadata Medical 95

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.

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The Modern Data Company

MARCH 7, 2023

Data governance can be a powerful agent in scaling the use and distribution of trusted data throughout the company. In this 3-part series, we’ll cover the critical and often misunderstood components of data governance and offer perspective on how to implement data governance strategies that deliver trusted data at the speed of business.

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Monte Carlo

JANUARY 16, 2024

And with so many data teams across functions, how does Fox approach data governance? Table of Contents Solve data silos starting at the people-level Keep data governance approachable Oliver Gomes’ data governance best practices Manage and promote the value of high-quality data How will Generative AI impact data quality at Fox?

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Government High Quality Data Data Governance Entertainment 52

Data Engineering Podcast

APRIL 22, 2018

For this reason metadata management systems are built to track the journey of your business data to aid in analysis, presentation, and compliance. What are some of the types of information that you classify and collect as metadata? What are some of the challenges that are typically faced by metadata management systems?

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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. An important aspect of data governance is measuring and monitoring its effectiveness using data governance metrics. What is Data Governance?

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Precisely

JULY 19, 2023

Data governance is fast becoming a business imperative. Many top executives and line-of-business managers lack a clear understanding of the benefits of data governance. Data governance plays a critical role in risk management and compliance as well. Building a data governance business case is essential.

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Christophe Blefari

MARCH 15, 2024

Assisted AI wars are around the corner — I'm only following the French news, but the government is proudly doubling its budget for "AI defense" From what I know, AI is mainly used as an information companion to find signals in the huge amount of data we generate, creating more efficient agents. This is Croissant.

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Cloudera

MARCH 9, 2021

Governance and the sustainable handling of data is a critical success factor in virtually all organizations. 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.

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The Modern Data Company

JANUARY 22, 2024

This encompasses the establishment of data dashboards, execution of comprehensive data quality management, and fulfillment of governance functions down to the granular level. Data products contain data and its metadata, code, and infrastructure so that each product is self-contained and usable independently.

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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 billion by 2026.

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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.

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Metadata Government Data Governance Data 104

The Modern Data Company

JANUARY 22, 2024

This encompasses the establishment of data dashboards, execution of comprehensive data quality management, and fulfillment of governance functions down to the granular level. Data products contain data and its metadata, code, and infrastructure so that each product is self-contained and usable independently.

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Data Integration Metadata Government Unstructured Data 87

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.

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Snowflake

JANUARY 23, 2024

With Snowpark ML, data scientists and ML engineers can use familiar Python frameworks for preprocessing and feature engineering as well as training models that can be managed and executed entirely in Snowflake without any data movement, silos or governance trade-offs.

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Snowflake

NOVEMBER 2, 2023

Snowflake’s single, cross-cloud governance model has always been a powerful differentiator, enabling customers to manage their increasingly complex data ecosystems with simplicity and ease. As a result, Snowflake is enhancing its governance capabilities that thousands of customers already rely on through Snowflake Horizon.

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The Modern Data Company

APRIL 15, 2024

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). This “metadata” acts as the soul of your data, enriching it and making it more valuable.

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Government Metadata Data Data Lake 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. Our data catalog integrations allow you to tap into this metadata wealth and surface it in the context where it’s needed most—when conducting business analytics.

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Snowflake

APRIL 11, 2024

That’s why we prioritize simplicity, governance and quality in everything we build – including our AI-powered tools. We’re thrilled to announce the public preview of Snowflake Copilot, a new solution on the bleeding edge of text-to-SQL that simplifies data analysis while maintaining robust governance.

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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 ?

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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.

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Snowflake

NOVEMBER 29, 2023

To summarize the importance of multiomics data analytics, the need of the hour is data governance around integrated data analysis that assures appropriate access, lineage tracking and auditability of analysis results. A sample representation of the business or functional metadata for omics type called RNA-seq is provided in Figure 1 below.

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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. The origin of the term : Datakitchen We must give credit to Chris Bergh and his team DataKictchen.

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Data Engineering Podcast

FEBRUARY 19, 2023

[Acryl]([link] The modern data stack needs a reimagined metadata management platform. Acryl Data’s vision is to bring clarity to your data through its next generation multi-cloud metadata management platform. Acryl]([link] The modern data stack needs a reimagined metadata management platform.

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Data Engineering Podcast

NOVEMBER 26, 2023

Trusted by the teams at Comcast and Doordash, Starburst delivers the adaptability and flexibility a lakehouse ecosystem promises, while providing a single point of access for your data and all your data governance allowing you to discover, transform, govern, and secure all in one place.

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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.

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Metadata Python AWS Government 83

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.

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Monte Carlo

MARCH 13, 2024

When done right, a good data governance program will help organizations answer questions around how data is collected and processed, who should have permission to access it, where it’s stored, and when it’s retired. But… What data governance isn’t … Data governance isn’t a data quality tool, because it’s not a tool at all.

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Data Governance Government Metadata Data 52

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

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Data Engineering Podcast

OCTOBER 23, 2022

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. Another aspect of implementing data products/platforms is how to manage permissions and governance.

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Striim

FEBRUARY 5, 2024

It is not a standalone product but comprises key elements, including data integration, ensuring the smooth merging of data; data quality, maintaining high data standards; metadata management, organizing and understanding data context; and security, safeguarding data integrity.

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Data Engineering Podcast

JULY 17, 2022

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. Atlan is the metadata hub for your data ecosystem. And don’t forget to thank them for their continued support of this show!

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Cloudera

JUNE 7, 2023

Focusing on the Data Pillar According to the Federal Data Strategy , the federal government views itself as the “preeminent supplier and sophisticated and ethical user of data.” With use cases from citizen services to military intelligence, government data is leveraged as a strategic asset across agencies (civilian and DoD).

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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.

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