Data Engineering Podcast

DECEMBER 3, 2023

Summary The first step of data pipelines is to move the data to a place where you can process and prepare it for its eventual purpose. Data transfer systems are a critical component of data enablement, and building them to support large volumes of information is a complex endeavor. Sponsored By: Starburst : ![Starburst

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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.

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Data Governance Government Metadata Medical 100

Precisely

SEPTEMBER 19, 2024

Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy, compliance, and ethical AI use. Proactive data quality measures are critical, especially in AI applications.

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Striim

MARCH 4, 2025

These incidents serve as a stark reminder that legacy data governance systems, built for a bygone era, are struggling to fend off modern cyber threats. They react too slowly, too rigidly, and cant keep pace with the dynamic, sophisticated attacks occurring today, leaving hackable data exposed.

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Data Engineering Podcast

MAY 20, 2021

Summary Data governance is a phrase that means many different things to many different people. This is because it is actually a concept that encompasses the entire lifecycle of data, across all of the people in an organization who interact with it. data stewards, business glossaries, etc.)

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Cloudera

SEPTEMBER 23, 2022

Should system resources such as CPU or system memory become constrained, this ops team is responsible to correct. In short, just like on-premise deployments, a small team of operaitons personnel are required to successfully deploy and manage this type of data lakehouse deployment. .

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Data Governance Government Amazon Web Services Cloud Computing 109

Cloudera

NOVEMBER 13, 2024

In today’s heterogeneous data ecosystems, integrating and analyzing data from multiple sources presents several obstacles: data often exists in various formats, with inconsistencies in definitions, structures, and quality standards.

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Metadata Management Data Governance Government 90

Snowflake

NOVEMBER 26, 2024

Today we’re focusing on customers who migrated from a cloud data warehouse to Snowflake and some of the benefits they saw. A consolidated data system to accommodate a big(ger) WHOOP When a company experiences exponential growth over a short period, it’s easy for its data foundation to feel a bit like it was built on the fly.

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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. And context also enhances the large language models.

Data Analytics 72

Data Analytics Data Governance Data Integration Government 72

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?

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Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

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Metadata Data Governance Government Management 73

Snowflake

NOVEMBER 11, 2024

.” — Paul Chang, Head of Payment Networks, AWS “Data warehouses are gaining a lot of momentum right now, and Snowflake is at the forefront of this trend. This is not surprising when you consider all the benefits, such as reducing complexity [and] costs and enabling zero-copy data access (ideal for centralizing data governance).

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Banking Finance Retail Food 98

Snowflake

NOVEMBER 19, 2024

Spark clusters needed manual maintenance to avoid waste and took 10-15 minutes to spin up, while the managed Spark platform outside Snowflake raised data governance concerns, impacting data integrity and security.

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Data Governance Government Healthcare Building 98

Snowflake

FEBRUARY 3, 2025

The MIT report identifies three common challenges: Data silos and fragmentation: Disconnected systems prevent organizations from accessing the full value of their data. Underdeveloped AI governance: Without strong governance frameworks, businesses struggle with trust, security and compliance in their AI systems.

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Government Data Governance Accessibility Accessible 94

The Modern Data Company

APRIL 20, 2023

What is a data operating system? On the surface, it’s an operating system designed specifically for managing and processing large amounts of data. Modern Layer over Legacy Systems Many data management systems require modernizing legacy systems by decommissioning them entirely or in part.

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Systems Entertainment Government Big Data 95

Data Engineering Podcast

JUNE 30, 2024

Petr shares his journey from being an engineer to founding Synq, emphasizing the importance of treating data systems with the same rigor as engineering systems. He discusses the challenges and solutions in data reliability, including the need for transparency and ownership in data systems.

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Precisely

FEBRUARY 26, 2025

If pain points like these ring true for you, theres great news weve just announced significant enhancements to our Precisely Data Integrity Suite that directly target these challenges! Then, youll be ready to unlock new efficiencies and move forward with confident data-driven decision-making.

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Data Integration Data Management Management Data Governance 64

databricks

JULY 5, 2023

This blog authored post by Jaison Dominic, Senior Manager, Information Systems at Amgen, and Lakhan Prajapati, Director of Architecture and Engineering at ZS.

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Data Governance Government Architecture Engineering 95

Precisely

AUGUST 29, 2024

Key Takeaways Data quality ensures your data is accurate, complete, reliable, and up to date – powering AI conclusions that reduce costs and increase revenue and compliance. Data observability continuously monitors data pipelines and alerts you to errors and anomalies. stored: where is it located?

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Data Governance Government High Quality Data Datasets 52

Data Engineering Podcast

FEBRUARY 18, 2024

What are the pain points that are still prevalent in lakehouse architectures as compared to warehouse or vertically integrated systems? For someone who is interested in building a data lakehouse with Trino and Iceberg, how does that influence their selection of other platform elements?

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Data Lake High Quality Data Data Warehouse Google Cloud 262

Precisely

OCTOBER 31, 2024

If your organization strives to manage its data efficiently while ensuring agility, compliance, and insightful decision-making, the modern data era presents a host of opportunities – and challenges. As data management grows increasingly complex, you need modern solutions that allow you to integrate and access your data seamlessly.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

Cloudera

DECEMBER 4, 2024

It is a powerful deployment environment that enables you to integrate and deploy generative AI (GenAI) and predictive models into your production environments, incorporating Cloudera’s enterprise-grade security, privacy, and data governance. Teams can analyze the data using any BI tool for model monitoring and governance purposes.

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Architecture Machine Learning Deep Learning BI 73

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

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Data Engineering Weekly

MARCH 5, 2025

Data Silos: Breaking down barriers between data sources. Hadoop achieved this through distributed processing and storage, using a framework called MapReduce and the Hadoop Distributed File System (HDFS). What are your data governance and security requirements? Are you prioritizing performance, cost, or both?

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Hadoop Metadata Data Ingestion Data Governance 58

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. And context also enhances the large language models.

Data Analytics 59

Data Analytics Data Governance Government Data Integration 59

Data Engineering Weekly

APRIL 24, 2025

The Centrality of Data Readiness During our conversation, we explored the significance of data readiness, a pivotal factor that influences the success of AI deployment. Avinash emphasized data readiness as a fundamental component that significantly impacts the timeline and effectiveness of integrating AI into production systems.

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Data Engineering Weekly

SEPTEMBER 26, 2024

Encrypting data at rest and in transit ensures that sensitive information stays safe, even if someone gains access. Most cloud providers offer built-in encryption options and key management systems (KMS) , making it easier to stay compliant without sacrificing security. data analyst, marketing manager).

Systems 68

Systems Engineering Data Warehouse Architecture 68

Wayne Yaddow

MARCH 28, 2025

Unleashing GenAIEnsuring Data Quality at Scale (Part2) Transitioning from individual repository source systems to consolidated AI LLM pipelines, the importance of automated checks, end-to-end observability, and compliance with enterprise businessrules. Fifth: It is essential to cultivate a strong culture of data governance and care.

Data Integration 52

Data Integration Data Governance Government Datasets 52

Monte Carlo

NOVEMBER 21, 2024

And for years, this enormous amount of data was managed in an enormously complex system. But since 2020, Skyscanner’s data leaders have been on a journey to simplify and modernize their data stack — building trust in data and establishing an organization-wide approach to data and AI governance along the way.

Government 52

Government Datasets Data Governance Data 52

Monte Carlo

NOVEMBER 21, 2024

And for years, this enormous amount of data was managed in an enormously complex system. But since 2020, Skyscanner’s data leaders have been on a journey to simplify and modernize their data stack — building trust in data and establishing an organization-wide approach to data and AI governance along the way.

Government 52

Government Datasets Data Governance Data 52

Monte Carlo

OCTOBER 31, 2024

But what does an AI data engineer do? AI data engineers play a critical role in developing and managing AI-powered data systems. Table of Contents What Does an AI Data Engineer Do? AI data engineers are the first line of defense against unreliable data pipelines that serve AI models.

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Data Engineering Data Engineer Engineering Unstructured Data 52

Netflix Tech

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. This nuanced integration of data and technology empowers us to offer bespoke content recommendations.

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Kafka Datasets Metadata Utilities 66

Data Engineering Weekly

NOVEMBER 24, 2024

The system leverages a combination of an event-based storage model in its TimeSeries Abstraction and continuous background aggregation to calculate counts across millions of counters efficiently. link] Grab: Metasense V2 - Enhancing, improving, and productionisation of LLM-powered data governance.

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Data Engineering Data Engineer Engineering Insurance 58

Data Engineering Podcast

FEBRUARY 4, 2024

Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.

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Data Engineering Podcast

APRIL 21, 2024

How do you manage the personalization of the AI functionality in your system for each user/team? Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

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Snowflake

NOVEMBER 11, 2024

This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution. SnowConvert is an easy-to-use code conversion tool that accelerates legacy relational database management system (RDBMS) migrations to Snowflake.

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Data Architecture Architecture Data Lake Kafka 105

Snowflake

FEBRUARY 12, 2025

AI agents, autonomous systems that perform tasks using AI, can enhance business productivity by handling complex, multi-step operations in minutes. Agents need to access an organization's ever-growing structured and unstructured data to be effective and reliable. text, audio) and structured (e.g.,

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