Data Engineering Podcast

JANUARY 1, 2022

In this episode Emily Riederer shares her work to create a controlled vocabulary for managing the semantic elements of the data managed by her team and encoding it in the schema definitions in her data warehouse. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Warehouse 100

Data Warehouse BI Data Workflow Data Engineering 100

Data Engineering Podcast

APRIL 19, 2021

Summary Most of the time when you think about a data pipeline or ETL job what comes to mind is a purely mechanistic progression of functions that move data from point A to point B. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Pipeline 100

Data Pipeline Machine Learning Data Warehouse Datasets 100

Data Engineering Podcast

JUNE 25, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Rudderstack]([link] RudderStack provides all your customer data pipelines in one platform.

Data Engineering 225

Data Engineering Data Engineer Python Engineering 225

Data Engineering Podcast

JULY 17, 2022

In this episode Crux CTO Mark Etherington discusses the different costs involved in managing external data, how to think about the total return on investment for your data, and how the Crux platform is architected to reduce the toil involved in managing third party data. Tired of deploying bad data?

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

JUNE 1, 2021

Summary Every part of the business relies on data, yet only a small team has the context and expertise to build and maintain workflows and data pipelines to transform, clean, and integrate it. RudderStack’s smart customer data pipeline is warehouse-first. Closing Announcements Thank you for listening!

Data Pipeline 100

Data Pipeline Data Warehouse Data Data Engineering 100

Data Engineering Podcast

JANUARY 18, 2021

Summary The data warehouse has become the central component of the modern data stack. This is an interesting conversation about the importance of the data warehouse and how it can be used beyond just internal analytics. How do you keep data up to date between the warehouse and downstream systems?

Data Warehouse 100

Data Warehouse BI Data Data Engineering 100

Data Engineering Podcast

MAY 1, 2022

He describes how the platform is architected, the challenges related to selling cloud technologies into enterprise organizations, and how you can adopt Matillion for your own workflows to reduce the maintenance burden of data integration workflows. Struggling with broken pipelines? What do you have planned for the future of Matillion?

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Data Engineering Podcast

DECEMBER 16, 2018

As the organization grows and gains more customers, the requirements for that pipeline will change. In this episode Christian Heinzmann, Head of Data Warehousing at Grubhub, discusses the various requirements for data pipelines and how the overall system architecture evolves as more data is being processed.

Data Pipeline 100

Data Pipeline Data Lake Data Warehouse Designing 100

Data Engineering Podcast

FEBRUARY 4, 2024

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 data management Data lakes are notoriously complex.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Data Engineering Podcast

NOVEMBER 16, 2020

In this episode CEO and co-founder of Isima Darshan Rawal explains how the biOS platform is architected to enable ease of use, the challenges that were involved in building an entirely new system from scratch, and how it can integrate with the rest of your data platform to allow for incremental adoption. What is the story behind the name?

Data Management 100

Data Management Management BI Business Intelligence 100

Data Engineering Podcast

APRIL 9, 2023

When it was difficult to wire together the event collection, data modeling, reporting, and activation it made sense to buy monolithic products that handled every stage of the customer data lifecycle. Now that the data warehouse has taken center stage a new approach of composable customer data platforms is emerging.

Data Lake 147

Data Lake Data Warehouse Machine Learning Data 147

Data Engineering Podcast

JANUARY 21, 2024

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).

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Data Engineering Podcast

MAY 28, 2023

Ghalib Suleiman has been on both sides of this equation and joins the show to share his hard-won wisdom about how to start and grow a data team in the early days of company growth. Can you start by sharing your conception of the responsibilities of a data team? When is it more practical to outsource the data work?

Data Lake 162

Data Lake Machine Learning Data Warehouse Education 162

Data Engineering Podcast

DECEMBER 28, 2022

In this episode he shares his thoughts on the strategic and tactical elements of moving your work as a data professional from being task-oriented to being product-oriented and the long term improvements in your productivity that it provides. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Lake 130

Data Lake Data Warehouse Data Pipeline MongoDB 130

Data Engineering Podcast

MAY 14, 2023

In this episode the host Tobias Macey shares his reflections on recent experiences where the abstractions leaked and some observances on how to deal with that situation in a data platform architecture. What do you have planned for the future of your data platform? What do you have planned for the future of your data platform?

Data Lake 147

Data Lake Machine Learning Data Warehouse AWS 147

Data Engineering Podcast

DECEMBER 25, 2022

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you're ready to build your next pipeline, or want to test out the projects you hear about on the show, you'll need somewhere to deploy it, so check out our friends at Linode. Pricing for SQLake is simple.

Machine Learning 130

Machine Learning Systems Data Lake Data Warehouse 130

Data Engineering Podcast

MAY 21, 2023

In this episode David Yaffe and Johnny Graettinger share the story behind the business and technology and how you can start using it today to build a real-time data lake without all of the headache. Rudderstack]([link] RudderStack provides all your customer data pipelines in one platform.

Data Lake 162

Data Lake Machine Learning Kafka Data Warehouse 162

Data Engineering Podcast

JUNE 4, 2023

In this episode Tevje Olin explains how the platform is implemented, the features that it provides to reduce the amount of effort required to keep your pipelines running, and how you can start using it in your own team. Can you describe what Agile Data Engine is and the story behind it? What does CI/CD look like for a data warehouse?

Data Engineering 130

Data Engineering Data Engineer Engineering Data Lake 130

Data Engineering Podcast

JUNE 9, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is supported by Code Comments, an original podcast from Red Hat. Data observability has been gaining adoption for a number of years now, with a large focus on data warehouses.

Process 147

Process Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

DECEMBER 18, 2022

In this episode Abe Gong brings his experiences with the Great Expectations project and community to discuss the technical and organizational considerations involved in implementing these constraints to your data workflows. Can you describe what your conception of a data contract is? Closing Announcements Thank you for listening!

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

APRIL 16, 2023

In this episode Paul Blankley and Ryan Janssen explore the power of natural language driven data exploration combined with semantic modeling that enables an intuitive way for everyone in the business to access the data that they need to succeed in their work. Can you describe what Zenlytic is and the story behind it?

Business Intelligence 147

Business Intelligence Building Data Lake BI 147

Data Engineering Podcast

JANUARY 8, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data and analytics leaders, 2023 is your year to sharpen your leadership skills, refine your strategies and lead with purpose. Monte Carlo]([link] Struggling with broken pipelines? Missing data?

PostgreSQL 130

PostgreSQL Data Lake Data Warehouse BI 130

Data Engineering Podcast

JANUARY 15, 2023

In this episode Srujan Akula explains how the system is implemented and how you can start using it today with your existing data systems. Data engineers struggling with unreliable data need look no further than Monte Carlo, the leading end-to-end Data Observability Platform! Your flagship (only?)

Coding 130

Coding Building PostgreSQL Data Lake 130

Data Engineering Podcast

DECEMBER 29, 2022

In this episode she shares the strategic and tactical elements of how to make more effective use of the technical and organizational resources that are available to you for getting work done with data. Data engineers struggling with unreliable data need look no further than Monte Carlo, the leading end-to-end Data Observability Platform!

Management 130

Management Metadata Business Intelligence Data Lake 130

Data Engineering Podcast

DECEMBER 12, 2021

Summary Spark is a powerful and battle tested framework for building highly scalable data pipelines. Because of its proven ability to handle large volumes of data Capital One has invested in it for their business needs. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days.

Building 130

Building Data Pipeline BI Data Warehouse 130

Data Engineering Podcast

AUGUST 3, 2021

In this episode Vinoth shares the history of the project, how its architecture allows for building more frequently updated analytical queries, and the work being done to add a more polished experience to the data lake paradigm. RudderStack’s smart customer data pipeline is warehouse-first.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

Data Science Blog: Data Engineering

MAY 20, 2024

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with AnalyticsCreator! The need for efficient and reliable data pipelines is paramount in data science and data engineering. They transform data into a consistent format for users to consume.

Data Pipeline 52

Data Pipeline BI Data Lake Data Warehouse 52

Striim

OCTOBER 11, 2024

A well-executed data pipeline can make or break your company’s ability to leverage real-time insights and stay competitive. Thriving in today’s world requires building modern data pipelines that make moving data and extracting valuable insights quick and simple. What is a Data Pipeline?

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Data Engineering Podcast

JUNE 17, 2023

In this episode Satish Jayanthi explores the benefits of incorporating column-aware tooling in the data modeling process. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake.

Data Lake 130

Data Lake Machine Learning Metadata Data Architecture 130

Data Engineering Podcast

AUGUST 10, 2021

In this episode Mark Grover explains what he is building at Stemma, how it expands on the success of the Amundsen project, and why trust is the most important asset for data teams. RudderStack’s smart customer data pipeline is warehouse-first. RudderStack’s smart customer data pipeline is warehouse-first.

IT 130

IT Building Data Warehouse Python 130

Data Engineering Podcast

NOVEMBER 20, 2022

He explains the constraints that he and his team are faced with and the various challenges that they have overcome to build useful data products on top of a legacy platform where they don’t control the end-to-end systems. Just connect it to your database/data warehouse/data lakehouse/whatever you’re using and let them do the rest.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Data Engineering Podcast

JUNE 11, 2023

In this episode Gleb Mezhanskiy shares some valuable advice and insights into how you can build reliable and well-tested data assets with dbt and data-diff. July 2021 and July 2022 about data-diff) What are the roadblocks to data testing/validation that you see teams run into most often?

Project 130

Project Building Data Lake Machine Learning 130

Data Engineering Podcast

FEBRUARY 22, 2021

Summary Data integration is a critical piece of every data pipeline, yet it is still far from being a solved problem. There are a number of managed platforms available, but the list of options for an open source system that supports a large variety of sources and destinations is still embarrasingly short.

Data Integration 100

Data Integration Data Warehouse Data Pipeline BI 100

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. There are times when the data is structured , but it is often messy since it is ingested directly from the data source. What is Data Warehouse? . Data Warehouse in DBMS: .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Data Engineering Podcast

APRIL 26, 2021

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Business Intelligence 100

Business Intelligence Data Warehouse Hadoop Data Pipeline 100

Data Engineering Podcast

NOVEMBER 27, 2022

He also discusses the improvements that have been incorporated into FeatureBase to simplify integration with the rest of your data stack, and the SQL interface that was added to make working with the product easier. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Lake 100

Data Lake Data Warehouse MongoDB Data Pipeline 100

Christophe Blefari

NOVEMBER 11, 2022

I'll speak about "How to build the data dream team" Let's jump onto the news. Ingredients of a Data Warehouse Going back to basics. Kovid wrote an article that tries to explain what are the ingredients of a data warehouse. And he does it well.

BI 130

BI Data Warehouse Data Database 130