ProjectPro

JUNE 6, 2025

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake?

Data Lake 40

Data Lake Data Warehouse Cloud Hadoop 40

Data Engineering Podcast

APRIL 23, 2023

In this episode DeVaris Brown discusses the types of applications that are possible when teams don't have to manage the complex infrastructure necessary to support continuous data flows. You can collect, transform, and route data across your entire stack with its event streaming, ETL, and reverse ETL pipelines.

Data Lake 277

Data Lake Kafka Machine Learning Data Warehouse 277

Data Engineering Podcast

AUGUST 3, 2021

Summary Data lake architectures have largely been biased toward batch processing workflows due to the volume of data that they are designed for. With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis.

Data Lake 130

Data Lake Data Warehouse Hadoop Kafka 130

databricks

JUNE 11, 2025

Separation of storage and compute : Lakebases store their data in modern data lakes (object stores) in open formats, which enables scaling compute and storage separately, leading to lower TCO and eliminating lock-in. At zero, the cost of the lakebase is just the cost of storing the data on cheap data lakes.

Entertainment 82

Entertainment Data Lake Manufacturing Consulting 82

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. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. Data lakes are notoriously complex.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. Use cases change, needs change, technology changes – and therefore data infrastructure should be able to scale and evolve with change.

Data Lake 115

Data Lake Data Warehouse Cloud Unstructured Data 115

Data Engineering Podcast

JUNE 1, 2020

Summary Data lakes offer a great deal of flexibility and the potential for reduced cost for your analytics, but they also introduce a great deal of complexity. What used to be entirely managed by the database engine is now a composition of multiple systems that need to be properly configured to work in concert.

Data Lake 100

Data Lake Database Building Lambda Architecture 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. Can you describe what SQLMesh is and the story behind it? DataOps is a term that has been co-opted and overloaded.

Data Engineer 225

Data Engineer Data Engineering Python Engineering 225

Data Engineering Podcast

NOVEMBER 20, 2021

Summary One of the perennial challenges posed by data lakes is how to keep them up to date as new data is collected. In this episode Ori Rafael shares his experiences from Upsolver and building scalable stream processing for integrating and analyzing data, and what the tradeoffs are when coming from a batch oriented mindset.

Data Lake 100

Data Lake Data Integration Lambda Architecture Process 100

Data Engineering Podcast

JUNE 23, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Data lakes in various forms have been gaining significant popularity as a unified interface to an organization's analytics. When is Fabric the wrong choice?

Data Lake 162

Data Lake High Quality Data Hadoop Machine Learning 162

Data Engineering Podcast

NOVEMBER 2, 2020

Summary Data lakes are gaining popularity due to their flexibility and reduced cost of storage. Along with the benefits there are some additional complexities to consider, including how to safely integrate new data sources or test out changes to existing pipelines. What do you have planned for the future of the project?

Data Lake 100

Data Lake PostgreSQL Machine Learning Datasets 100

Data Engineering Podcast

APRIL 21, 2024

Summary Generative AI has rapidly transformed everything in the technology sector. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. Your first 30 days are free!

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Data Engineering Weekly

JANUARY 8, 2025

What if your data lake could do more than just store information—what if it could think like a database? As data lakehouses evolve, they transform how enterprises manage, store, and analyze their data. represented a significant leap forward in data lakehouse technology.

Data Lake 62

Data Lake Retail Datasets Data Ingestion 62

Data Engineering Podcast

MAY 15, 2022

Summary Designing a data platform is a complex and iterative undertaking which requires accounting for many conflicting needs. Designing a platform that relies on a data lake as its central architectural tenet adds additional layers of difficulty. Visit dataengineeringpodcast.com/montecarlo to learn more.

Data Lake 100

Data Lake Building BI Architecture 100

Data Engineering Podcast

SEPTEMBER 1, 2021

Summary The Presto project has become the de facto option for building scalable open source analytics in SQL for the data lake. Can you give an overview of the options that are available for someone wanting to use its SQL engine for querying their data? Hudi, Delta Lake, Iceberg, Nessie, LakeFS, etc.).

Data Lake 100

Data Lake Cloud AWS SQL 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

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. Can you describe what role Trino and Iceberg play in Stripe's data architecture?

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Data Engineering Podcast

MARCH 24, 2024

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.

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162

Data Engineering Podcast

APRIL 7, 2024

Different roles and tasks in the business need their own ways to access and analyze the data in the organization. In order to enable this use case, while maintaining a single point of access, the semantic layer has evolved as a technological solution to the problem. Data lakes are notoriously complex.

Data Lake 162

Data Lake High Quality Data BI Data Workflow 162

Data Engineering Podcast

JUNE 30, 2024

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 data management Data lakes are notoriously complex. Can you describe what Synq is and the story behind it?

Pipeline-centric 147

Pipeline-centric Engineering Data Lake High Quality Data 147

Data Engineering Podcast

MARCH 3, 2024

Summary Artificial intelligence technologies promise to revolutionize business and produce new sources of value. 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.

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Data Engineering Podcast

JANUARY 7, 2024

Summary Data processing technologies have dramatically improved in their sophistication and raw throughput. Unfortunately, the volumes of data that are being generated continue to double, requiring further advancements in the platform capabilities to keep up. What do you have planned for the future of your academic research?

Data Process 147

Data Process Process Data Lake High Quality Data 147

Snowflake

NOVEMBER 11, 2024

What if you could streamline your efforts while still building an architecture that best fits your business and technology needs? Snowflake is committed to doing just that by continually adding features to help our customers simplify how they architect their data infrastructure.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Data Engineering Podcast

JUNE 2, 2024

Nicola Askham found her way into data governance by accident, and stayed because of the benefit that she was able to provide by serving as a bridge between the technology and business. In this episode she shares the practical steps to implementing a data governance practice in your organization, and the pitfalls to avoid.

Data Governance 147

Data Governance Government Data Lake High Quality Data 147

Data Engineering Podcast

FEBRUARY 11, 2024

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?

Data Lake 147

Data Lake High Quality Data Government Data Pipeline 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

MARCH 10, 2024

Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between data lake and warehouse capabilities is the catalog. Data lakes are notoriously complex. What is involved in integrating Nessie into a given data stack?

Data Lake 147

Data Lake High Quality Data Architecture Data Pipeline 147

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 lakes are notoriously complex. My thanks to the team at Code Comments for their support.

Process 147

Process Data Lake High Quality Data Machine Learning 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

APRIL 14, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management This episode is brought to you by Datafold – a testing automation platform for data engineers that prevents data quality issues from entering every part of your data workflow, from migration to dbt deployment.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Data Engineering Podcast

MAY 14, 2023

Summary All of the advancements in our technology is based around the principles of abstraction. 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.

Data Lake 147

Data Lake Data Warehouse Machine Learning AWS 147

Data Engineering Podcast

MARCH 17, 2024

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?

Database 147

Database Data Lake High Quality Data Data Workflow 147

ProjectPro

JUNE 6, 2025

The benefits it offers start from data management and manipulation to machine learning tools on the GCP platform. GCP offers 90 services that span computation, storage, databases, networking, operations, development, data analytics , machine learning , and artificial intelligence , to name a few. Source : 1.bp.blogspot.com

Google Cloud 58

Google Cloud Project Data Lake Healthcare 58

Data Engineering Podcast

APRIL 9, 2023

In this episode Darren Haken is joined by Tejas Manohar to discuss how Autotrader UK is addressing their customer data needs by building on top of their existing data stack. What do you see as the risks/tradeoffs of moving CDP functionality into the same data stack as the rest of the organization?

Data Lake 147

Data Lake Data Warehouse Machine Learning Data 147

Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics.

Data Management 100

Data Management Management MongoDB Scala 100

Data Engineering Podcast

MAY 12, 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 lakes are notoriously complex. Code Comments Podcast Logo]([link] Putting new technology to use is an exciting prospect.

Management 147

Management Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

NOVEMBER 26, 2023

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.

Architecture 147

Architecture Data Lake High Quality Data SQL 147