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Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement This episode is supported by Code Comments, an original podcast from Red Hat. Data lakes are notoriously complex. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.
In this episode he shares his motivations for creating Prophecy, how he is leveraging the magic of compilers to translate between UI and code oriented representations of logic, and the organizational benefits of having a cohesive experience designed to bring business users and domain experts into the same platform as data engineers and analysts.
In this episode Dain Sundstrom, CTO of Starburst, explains how the combination of the Trino query engine and the Iceberg table format offer the ease of use and execution speed of data warehouses with the infinite storage and scalability of data lakes. Data lakes are notoriously complex. Your first 30 days are free!
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex. Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. Closing Announcements Thank you for listening!
Key Takeaways: Data mesh is a decentralized approach to datamanagement, designed to shift creation and ownership of data products to domain-specific teams. Data fabric is a unified approach to datamanagement, creating a consistent way to manage, access, and share data across distributed environments.
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. Can you describe what role Trino and Iceberg play in Stripe's data architecture?
In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!
In this episode she shares the practical steps to implementing a data governance practice in your organization, and the pitfalls to avoid. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex. Are there any trends that concern you?
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. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex.
He highlights the role of data teams in modern organizations and how Synq is empowering them to achieve this. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex. Can you describe what Synq is and the story behind it?
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement This episode is supported by Code Comments, an original podcast from Red Hat. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support. Closing Announcements Thank you for listening!
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex. What are the open questions today in technical scalability of data engines? What are the open questions today in technical scalability of data engines?
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents dataquality issues from entering every part of your data workflow, from migration to dbt deployment.
In this episode Artyom Keydunov, creator of Cube, discusses the evolution and applications of the semantic layer as a component of your data platform, and how Cube provides speed and cost optimization for your data consumers. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement This episode is supported by Code Comments, an original podcast from Red Hat. Data lakes are notoriously complex. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex. Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for datamanagement today?
In this episode Andrew Jefferson explains the complexities of building a robust system for data sharing, the techno-social considerations, and how the Bobsled platform that he is building aims to simplify the process. What is the current state of the ecosystem for data sharing protocols/practices/platforms?
In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).
Colleen Tartow has worked across all stages of the data lifecycle, and in this episode she shares her hard-earned wisdom about how to conduct an AI program for your organization. Data lakes are notoriously complex. What do you have planned for the future of your work at VAST Data? Your first 30 days are free!
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.
This involves integrating customer data across various channels – like your CRM systems, data warehouses, and more – so that the most relevant and up-to-date information is used consistently in your customer interactions. Focus on high-qualitydata. Dataquality is essential for personalization efforts.
In this episode he explains the data collection and preparation process, the collection of model types and sizes that work together to power the experience, and how to incorporate it into your workflow to act as a second brain. Data lakes are notoriously complex. Data lakes are notoriously complex. Your first 30 days are free!
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. Data lakes are notoriously complex. Your first 30 days are free!
In this episode Tobias Macey shares his thoughts on the challenges that he is facing as he prepares to build the next set of architectural layers for his data platform to enable a larger audience to start accessing the data being managed by his team. Data lakes are notoriously complex.
Data input and maintenance : Automation plays a key role here by streamlining how data enters your systems. With automation you become more agile, thanks to the ability to gather high-qualitydata efficiently and maintain it over time – reducing errors and manual processes. Find out more in our eBook.
In this episode Gleb Mezhanskiy, founder and CEO of Datafold, discusses the different error conditions and solutions that you need to know about to ensure the accuracy of your data. Data lakes are notoriously complex. Can you start by outlining some of the situations where reconciling data between databases is needed?
In this episode Alex Merced explains how the branching and merging functionality in Nessie allows you to use the same versioning semantics for your data lakehouse that you are used to from Git. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex. Can you start by sharing some of your experiences with data migration projects? Can you start by sharing some of your experiences with data migration projects?
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData projects are notoriously complex. With multiple stakeholders to manage across varying backgrounds and toolchains even simple reports can become unwieldy to maintain. Data lakes are notoriously complex.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.
In this episode Andrey Korchack, CTO of fintech startup Monite, discusses the complexities of designing and implementing a data platform in that sector. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex.
Process-centric data teams focus their energies predominantly on orchestrating and automating workflows. They have demonstrated that robust, well-manageddata processing pipelines inevitably yield reliable, high-qualitydata.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagementData lakes are notoriously complex. Contact Info LinkedIn Parting Question From your perspective, what is the biggest gap in the tooling or technology for datamanagement today?
In this episode founder Tarush Aggarwal explains how the realities of the modern data stack are impacting data teams and the work that they are doing to accelerate time to value. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Introducing RudderStack Profiles.
Summary Artificial intelligence applications require substantial highqualitydata, which is provided through ETL pipelines. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Introducing RudderStack Profiles. Closing Announcements Thank you for listening!
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement You shouldn't have to throw away the database to build with fast-changing data. Data lakes are notoriously complex. That’s three free boards at dataengineeringpodcast.com/miro.
Andrei Tserakhau has dedicated his careeer to this problem, and in this episode he shares the lessons that he has learned and the work he is doing on his most recent data transfer system at DoubleCloud. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Introducing RudderStack Profiles.
Key Takeaways Data Fabric is a modern data architecture that facilitates seamless data access, sharing, and management across an organization. Datamanagement recommendations and data products emerge dynamically from the fabric through automation, activation, and AI/ML analysis of metadata.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern datamanagement Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.
Current open-source frameworks like YAML-based Soda Core, Python-based Great Expectations, and dbt SQL are frameworks to help speed up the creation of dataquality tests. They are all in the realm of software, domain-specific language to help you write dataquality tests.
Maintaining communication with your staff, which necessitates correct employee data , is one approach to improve it. . What Is Employee DataManagement? . Employee database management is a self-service system that allows employees to enter, update and assess their data. Improved Data Security and Sharing.
This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of highqualitydata from collection to analysis. Can you describe how your overall datamanagement system is architected? What are some of the ways that your platform is being used?
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