Data Engineering Podcast

FEBRUARY 25, 2024

Can you describe the operational/architectural aspects of building a full data engine on top of the FDAP stack? What are some of the other tools/technologies that can benefit from some or all of the pieces of the FDAP stack? Can you describe the operational/architectural aspects of building a full data engine on top of the FDAP stack?

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Database Technology Data Lake High Quality Data 162

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.

Data Governance 52

Data Governance Government Programming Data 52

François Nguyen

MARCH 22, 2021

Just an illustration – not the truth and you certainly can do it with other technologies. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality.

Technology 130

Technology Architecture Google Cloud Metadata 130

Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. What do you have planned for the future of Privacera?

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Data Governance Government Cloud Building 130

Precisely

JANUARY 5, 2023

To make a difference for your organization, your data strategy should address more than just raw data; it needs to lay out a roadmap for aligning the people, processes, and technology that can support a truly data-driven culture. Data governance plays a critical role in any effective data strategy.

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Data Governance Government Data Raw Data 52

Precisely

SEPTEMBER 8, 2023

According to a recent report on data integrity trends from Drexel University’s LeBow College of Business , 41% reported that data governance was a top priority for their data programs. Automating functions in support of data governance provides a range of important benefits.

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Data Governance Government Data Big Data 52

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SEPTEMBER 6, 2023

.” Poor data quality impedes the success of data programs, hampers data integration efforts, limits data integrity causing big data governance challenges. To truly succeed in an increasingly data-driven world, organizations need data governance. The results are clear.

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Precisely

SEPTEMBER 5, 2023

As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises. Which business functions are using which set(s) of data?

Data Governance 52

Data Governance Government Data Management Management 52

Monte Carlo

JANUARY 24, 2024

Data is among your company’s most valuable commodities, but only if you know how to manage it. More data, more access to data, and more regulations mean data governance has become a higher-stakes game. At the same time, data governance technologies are growing more intelligent.

Data Governance 52

Data Governance Government Data Lake Data Architecture 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. 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

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 84

Data Governance Government Metadata Data Security 84

Snowflake

SEPTEMBER 27, 2023

At Snowflake, we are dedicated to helping our customers effectively mobilize their data while upholding stringent standards for compliance and data governance. Today, we are thrilled to announce the general availability of the Data Governance Interface in Snowsight.

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Data Governance Government SQL Database 64

Cloudera

SEPTEMBER 23, 2022

In a recent blog, Cloudera Chief Technology Officer Ram Venkatesh described the evolution of a data lakehouse, as well as the benefits of using an open data lakehouse, especially the open Cloudera Data Platform (CDP). Modern data lakehouses are typically deployed in the cloud.

Data Governance 107

Data Governance Government Amazon Web Services Cloud Computing 107

Monte Carlo

JULY 24, 2023

And, much like oil, data can be a tricky substance – it’s incredibly valuable when refined and put to use, but it’s a flammable mess if not properly managed. That’s where data governance frameworks come into play, acting as the safety protocols and refinery blueprints of the data world.

Data Governance 52

Data Governance Government Education Retail 52

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

Monte Carlo

JANUARY 3, 2024

Let me give you a hint: high-quality proprietary data. It gives the LLM access to that enterprise proprietary data. This is a widely shared sentiment across many data leaders I speak to. If the data team has suddenly surfaced customer-facing, secure data, then they’re on the hook. Snowflake data cloud.

Technology 113

Technology Database Data Engineer Data Engineering 113

Data Engineering Podcast

MARCH 9, 2020

Summary Data governance is a complex endeavor, but scaling it to meet the needs of a complex or globally distributed organization requires a well considered and coherent strategy. What is the migration path for an organization who has an existing data platform but needs to scale their governance and localize storage and access?

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Data Governance Government Architecture Data 100

Data Engineering Podcast

MAY 18, 2024

Summary The purpose of business intelligence systems is to allow anyone in the business to access and decode data to help them make informed decisions. The team at Zenlytic have leaned on the promise of large language models to build an AI agent that lets you converse with your data. Want to see Starburst in action?

Building 278

Building Data Lake High Quality Data Business Intelligence 278

Snowflake

JUNE 12, 2023

Founded in 2017, IMMO is on a mission to fix a broken real estate market, making it more equitable, safe, accountable, and accessible. To address this issue, and unlock the remaining 96%, IMMO created Europe’s first technology-led residential real estate platform. “We Taking away the friction around using the technology is key.

Technology 52

Technology Portfolio Data Governance Government 52

Data Engineering Podcast

JUNE 30, 2024

How does the focus on data assets/data products shift your approach to observability as compared to a table/pipeline centric approach? With the focus on sharing ownership beyond the boundaries on the data team there is a strong correlation with data governance principles. When is Synq the wrong choice?

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Pipeline-centric Engineering Data Lake High Quality Data 147

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

JANUARY 17, 2023

Yet as organizations invest in more data and more data accessibility, keeping all that data safe and well-maintained has never been more challenging. That’s why data governance has become a must-have for data-driven organizations. Table of Contents What is data governance?

Data Governance 40

Data Governance Government Building Data Storage 40

Snowflake

JUNE 27, 2024

By bringing workloads closer to the data, Snowflake Native Apps integrated with Snowpark Container Services makes it easier for RAI’s customers to adopt its technology. We’ve seen with Snowflake Native Apps and Snowpark Container Services, that can now happen in days and even hours, which is mind-blowing.”

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Data Governance Algorithm Government Cloud 109

Precisely

NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.

Data Analytics 72

Data Analytics Data Integration Data Governance Government 72

Data Engineering Podcast

JUNE 16, 2024

In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform. What are the other systems that feed into and rely on the Trino/Iceberg service?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Data Engineering Podcast

JUNE 23, 2024

What are the benefits of layering on top of existing technologies rather than building a fully custom solution? What do you have planned for the future of data lake analytics? Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Data Lake 162

Data Lake High Quality Data Hadoop Machine Learning 162

Cloudera

FEBRUARY 4, 2021

They need a comprehensive data and analytics platform to model risk exposures on-demand. I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Shared Data Experience (SDX). Cloudera is that platform.

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Technology Data Management Management Insurance 86

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SEPTEMBER 18, 2024

Businesses around the world are facing major challenges due to higher manufacturing costs, disruptive new technologies like artificial intelligence (AI), and tougher global competition. This means it’s more important than ever to make data-driven decisions, cut costs, and improve efficiency. In fact, it’s second only to data quality.

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NOVEMBER 18, 2024

Key Takeaways: Data integrity is required for AI initiatives, better decision-making, and more – but data trust is on the decline. Data quality and data governance are the top data integrity challenges, and priorities. However, they require a strong data foundation to be effective.

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Data Analytics Data Governance Data Integration Government 59

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AUGUST 22, 2024

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. Let’s explore the similarities – and the differences in their approaches.

Data Governance 69

Data Governance Government High Quality Data Metadata 69

Data Engineering Podcast

FEBRUARY 18, 2024

For someone who is interested in building a data lakehouse with Trino and Iceberg, how does that influence their selection of other platform elements? What are the differences in terms of pipeline design/access and usage patterns when using a Trino/Iceberg lakehouse as compared to other popular warehouse/lakehouse structures?

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Data Lake High Quality Data Data Warehouse Google Cloud 262

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OCTOBER 14, 2024

Key Takeaways: Only 12% of organizations report their data is of sufficient quality and accessibility for AI. Data analysis (57%) is the top-cited reason organizations are considering the use of AI. The top data challenge inhibiting the progress of AI initiatives is data governance (62%).

Data Governance 69

Data Governance Data Integration Government Data Programming 69

Data Engineering Podcast

JUNE 9, 2024

In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. Code Comments Podcast Logo]([link] Putting new technology to use is an exciting prospect. Closing Announcements Thank you for listening!

Process 147

Process Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

APRIL 7, 2024

Summary Maintaining a single source of truth for your data is the biggest challenge in data engineering. Different roles and tasks in the business need their own ways to access and analyze the data in the organization. What do you have planned for the future of Cube? Closing Announcements Thank you for listening!

Data Lake 162

Data Lake High Quality Data BI Data Workflow 162

Data Engineering Podcast

APRIL 21, 2024

Summary Generative AI has rapidly transformed everything in the technology sector. Contact Info LinkedIn Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? When Andrew Lee started work on Shortwave he was focused on making email more productive.

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Data Engineering Podcast

MAY 26, 2024

In Code Comments, host Jamie Parker, Red Hatter and experienced engineer, shares the journey of technologists from across the industry and their hard-won lessons in implementing new technologies. What are the characteristics or features of data technologies and the overall ecosystem that can reduce the burden of data migration in the future?

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Cloudera

NOVEMBER 21, 2024

Cloudera Data Engineering’s latest version release on public cloud addresses this rising challenge by introducing major enhancements in development productivity with enterprise-secured toolings, bringing remote access to Apache Spark from the practitioner’s preferred coding environments. Jupyter, PyCharm, and VS Code).

Pipeline-centric 66

Pipeline-centric Data Engineer Data Engineering Engineering 66