Data Engineering Podcast

APRIL 14, 2024

The default association with the term "database" is relational engines, but non-relational engines are also used quite widely. In this episode Oren Eini, CEO and creator of RavenDB, explores the nuances of relational vs. non-relational engines, and the strategies for designing a non-relational database.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Data Engineering Podcast

JUNE 25, 2023

Summary Data transformation is a key activity for all of the organizational roles that interact with data. Because of its importance and outsized impact on what is possible for downstream data consumers it is critical that everyone is able to collaborate seamlessly. Can you describe what SQLMesh is and the story behind it?

Data Engineer 225

Data Engineer Data Engineering Python Engineering 225

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 Architecture 130

Uber Engineering

OCTOBER 27, 2024

Ready to boost your Hadoop Data Lake security on GCP? Our latest blog dives into enabling security for Uber’s modernized batch data lake on Google Cloud Storage!

Cloud Storage 57

Cloud Storage Google Cloud Data Lake Hadoop 57

KDnuggets

OCTOBER 30, 2023

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lake 134

Data Lake Data Warehouse Data Storage Data 134

Start Data Engineering

APRIL 12, 2022

Introduction Data lakes and data warehouses Data lake Data warehouse Criteria to choose lake and warehouse tools Conclusion Further reading References Introduction With the data ecosystem growing fast, new terms are coming up every week.

Data Lake 130

Data Lake Data Warehouse Data 130

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. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 95

Data Lake Data Warehouse Cloud Unstructured Data 95

Towards Data Science

SEPTEMBER 27, 2023

Data Access API over Data Lake Tables Without the Complexity Build a robust GraphQL API service on top of your S3 data lake files with DuckDB and Go Photo by Joshua Sortino on Unsplash 1. This data might be primarily used for internal reporting, but might also be valuable for other services in our organization.

Data Lake 89

Data Lake Accessibility Accessible SQL 89

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Join in with the event for the global data community, Data Council Austin.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Uber Engineering

OCTOBER 27, 2024

Learn how Uber is streamlining the Cloud migration of its massive Data Lake by incorporating key Data Mesh principles.

Data Lake 75

Data Lake Cloud Data IT 75

KDnuggets

FEBRUARY 5, 2024

How and why the data lake architecture often fails to meet its promises. And how better governance helps mitigate such challenges.

Data Lake 117

Data Lake IT Government Data 117

Start Data Engineering

MAY 11, 2022

Data lake structure 5. Loading user purchase data into the data warehouse 5.2 Loading classified movie review data into the data warehouse 5.3 Introduction 2. Objective 3. Prerequisite 4.2 AWS Infrastructure costs 4.3 Code walkthrough 5.1 Generating user behavior metric 5.4. Checking results 6.

Data Engineer 246

Data Engineer Data Engineering Project Data Lake 246

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

Hevo

JULY 25, 2024

A data lake is a central storage place for an organization’s data in its original format. Unlike data warehouses, data lakes can handle all kinds of data, including unstructured and semi-structured data like images, video, audio, and documents.

Data Lake 52

Data Lake Management Data Warehouse Structured Data 52

Data Engineering Weekly

SEPTEMBER 22, 2024

Editor’s Note: Coming Next on Comparison Matrix Series - Data LakeHouse Our mission is to empower data professionals and organizations to make informed, data-driven decisions by providing a comprehensive buyer's guide and comparison matrix for selecting the best data tools.

Data Engineer 70

Data Engineer Data Engineering Engineering Data Lake 70

Cloudera

NOVEMBER 21, 2024

As advanced analytics and AI continue to drive enterprise strategy, leaders are tasked with building flexible, resilient data pipelines that accelerate trusted insights. For enterprises, the challenge now is not just rapid deployment; it’s about building trusted, iterative processes that ensure high-quality and actionable data at scale.

Pipeline-centric 66

Pipeline-centric Data Engineer Data Engineering Engineering 66

Data Engineering Weekly

JULY 7, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Hudi seems to be a de facto choice for CDC data lake features. Notion migrated the insert heavy workload from Snowflake to Hudi.

Data Engineer 98

Data Engineer Data Engineering Engineering Data Lake 98

Data Engineering Podcast

NOVEMBER 12, 2023

Generative AI has accelerated the ability of developer tools to provide useful suggestions that speed up the work of engineers. Tabnine is one of the main platforms offering an AI powered assistant for software engineers. Learn more about Datafold by visiting dataengineeringpodcast.com/datafold Data lakes are notoriously complex.

Software Engineer 147

Software Engineer Software Engineering Engineering Data Lake 147

KDnuggets

JANUARY 16, 2023

In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

Data Lake 108

Data Lake SQL Data IT 108

Data Engineering Weekly

NOVEMBER 11, 2024

Slack: Empowering Engineers with AI In our most recent internal developer survey, 65% of respondents said they prefer an IDE as the primary platform to engage with generative-AI for development tasks. To identify express queries, we developed a method using historical data to predict whether an upcoming query is an express query.

Data Engineer 57

Data Engineer Data Engineering Engineering Datasets 57

Hevo

JULY 23, 2024

The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT. The close of the 19th century and beginning of the 20th century saw an influx of new digital tools like the mobile phone and smart […]

Data Lake 52

Data Lake Technology Data IT 52

Data Engineering Podcast

FEBRUARY 5, 2023

In that time there have been a number of generational shifts in how data engineering is done. Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? Materialize]([link] Looking for the simplest way to get the freshest data possible to your teams?

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Data Engineering Podcast

JUNE 4, 2023

Summary A significant portion of the time spent by data engineering teams is on managing the workflows and operations of their pipelines. Agile Data Engine is a platform designed to handle the infrastructure side of the DataOps equation, as well as providing the insights that you need to manage the human side of the workflow.

Data Engineer 130

Data Engineer Data Engineering Engineering Data Lake 130

Monte Carlo

NOVEMBER 22, 2024

Your data engineering pipeline started simple: a few CSV exports, some Python scripts, and manual updates every week. You’re left wondering if there’s a breaking point where your DIY data solution won’t cut it anymore—and honestly, you might be there already. It means you’re scaling!

Data Engineer 52

Data Engineer Data Engineering Building Engineering 52

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

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. Missing data? Struggling with broken pipelines? Stale dashboards?

Data Lake 100

Data Lake Building Architecture BI 100

Data Engineering Podcast

JULY 22, 2019

Summary The current trend in data management is to centralize the responsibilities of storing and curating the organization’s information to a data engineering team. This organizational pattern is reinforced by the architectural pattern of data lakes as a solution for managing storage and access.

Data Lake 100

Data Lake Hadoop Data Architecture 100

Data Engineering Podcast

JUNE 16, 2024

Summary Stripe is a company that relies on data to power their products and business. 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.

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

Data Engineering Podcast

MAY 22, 2022

Summary Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Machine Learning 130

Machine Learning Data Engineer Data Engineering Cloud 130

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. Data lakes are notoriously complex.

Building 278

Building Data Lake High Quality Data Business Intelligence 278

Data Engineering Weekly

SEPTEMBER 15, 2024

Uber: DataMesh - How Uber laid the foundations for the Data Lake Cloud migration Many companies are slowly adopting DataMesh, and Uber writes about adopting the data mesh principle. Whether or not Data Mesh is a separate product is debatable, but it is certainly an impactful framework for scaling data platforms.

Data Engineer 67

Data Engineer Data Engineering Engineering Data Lake 67

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.

Data Lake 100

Data Lake PostgreSQL Datasets Machine Learning 100

Data Engineering Podcast

FEBRUARY 4, 2024

RisingWave is a database engine that was created specifically for stream processing, with S3 as the storage layer. 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. Want to see Starburst in action?

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

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. With simple pricing, fast networking, object storage, and worldwide data centers, you’ve got everything you need to run a bulletproof data platform.

Data Lake 100

Data Lake Cloud AWS SQL 100

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. Your first 30 days are free! Want to see Starburst in action?

Data Lake 147

Data Lake High Quality Data Architecture Data Pipeline 147