Data Engineering Podcast

APRIL 7, 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.

Data Lake 162

Data Lake High Quality Data BI Data Workflow 162

Ascend.io

AUGUST 18, 2023

This not only jeopardizes the integrity and robustness of production environments but also compounds challenges for both data scientists and engineers. This article delves into the reasons behind our assertion: data science notebooks are not your best choice for production data pipelines. What Are Jupyter Notebooks?

Data Pipeline 52

Data Pipeline Programming Language Data Science Coding 52

Data Engineering Podcast

MARCH 31, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Dagster offers a new approach to building and running data platforms and data pipelines.

Project 130

Project Data Lake High Quality Data Data Workflow 130

Data Engineering Podcast

MAY 12, 2024

I listened to the recent episode "Transforming Your Database" and appreciated the valuable advice on how to approach the selection and integration of new databases in applications and the impact on team dynamics. Data lakes are notoriously complex. Data lakes are notoriously complex.

Management 147

Management Data Lake High Quality Data Machine Learning 147

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.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Data Engineering Podcast

MAY 26, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. SQL Server version upgrade) Section 2: Types of Migrations for Infrastructure Focus Storage migration: Moving data between systems (HDD to SSD, SAN to NAS, etc.)

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Ascend.io

MAY 31, 2023

In the modern world of data engineering, two concepts often find themselves in a semantic tug-of-war: data pipeline and ETL. Fast forward to the present day, and we now have data pipelines. Data Ingestion Data ingestion is the first step of both ETL and data pipelines.

Data Pipeline 52

Data Pipeline ETL Tools Pipeline-centric Data Warehouse 52

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. With Materialize, you can!

Systems 130

Systems Designing Data Lake SQL 130

Data Engineering Podcast

DECEMBER 24, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products. With Materialize, you can!

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Monte Carlo

APRIL 24, 2023

At Uber, for example, data ingestion scale quickly surpassed what out-of-the-box solutions could support. In the early days, Kafka was used to capture events data while a combination of Sqoop and MapReduce were used to ingest transactional data from upstream databases. Missed Nishith’s 5 considerations?

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Data Engineering Podcast

JANUARY 21, 2024

Summary Databases and analytics architectures have gone through several generational shifts. A substantial amount of the data that is being managed in these systems is related to customers and their interactions with an organization.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Data Engineering Podcast

NOVEMBER 26, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products. With Materialize, you can!

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Data Engineering Podcast

JANUARY 7, 2024

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

Data Process 147

Data Process Process Data Lake High Quality Data 147

Data Engineering Podcast

NOVEMBER 5, 2023

Summary Databases are the core of most applications, but they are often treated as inscrutable black boxes. When an application is slow, there is a good probability that the database needs some attention. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products.

PostgreSQL 147

PostgreSQL Data Lake High Quality Data SQL 147

Data Engineering Podcast

NOVEMBER 12, 2023

Learn more about Datafold by visiting dataengineeringpodcast.com/datafold Data lakes are notoriously complex. You shouldn't have to throw away the database to build with fast-changing data. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products.

Software Engineer 147

Software Engineer Software Engineering Engineering Data Lake 147

Data Engineering Podcast

DECEMBER 31, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data.

Designing 130

Designing Data Lake High Quality Data SQL 130

Data Engineering Podcast

DECEMBER 17, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products. With Materialize, you can!

Data Lake 130

Data Lake High Quality Data SQL Architecture 130

Data Engineering Podcast

NOVEMBER 19, 2023

Get all of the details and try the new product today at dataengineeringpodcast.com/rudderstack You shouldn't have to throw away the database to build with fast-changing data. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products. With Materialize, you can!

Project 147

Project Data Lake High Quality Data SQL 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. Atlan is the metadata hub for your data ecosystem.

Metadata 130

Metadata Business Intelligence Data Lake BI 130

Data Engineering Podcast

DECEMBER 10, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management You shouldn't have to throw away the database to build with fast-changing data. It’s the only true SQL streaming database built from the ground up to meet the needs of modern data products.

Data Lake 130

Data Lake High Quality Data SQL Architecture 130

Ascend.io

DECEMBER 11, 2023

Here’s the deal: for data to truly drive your business forward, you need a reliable and scalable system to keep it moving without hiccups. In other words, you need data orchestration. In this article, we’ll break down what data orchestration is, its significance, and how it differs from data pipeline orchestration.

Data Workflow 52

Data Workflow Data Pipeline Data Lake Data 52

Data Engineering Podcast

JULY 17, 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. Tired of deploying bad data?

Data Management 130

Data Management Management Metadata MongoDB 130

Databand.ai

AUGUST 30, 2023

Each type of tool plays a specific role in the DataOps process, helping organizations manage and optimize their data pipelines more effectively. Data Integration Data integration is the process of collecting, transforming, and consolidating data from various sources.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. Data Sources Data sources are the backbone of any DataOps architecture.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Data Engineering Podcast

AUGUST 28, 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.

Data Engineering 100

Data Engineering Data Engineer MongoDB Metadata 100

Data Engineering Podcast

SEPTEMBER 18, 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.

Building 100

Building Metadata MongoDB MySQL 100

Knowledge Hut

SEPTEMBER 25, 2023

As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. You will be in charge of creating and maintaining data pipelines, data storage solutions, data processing, and data integration to enable data-driven decision-making inside a company.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

François Nguyen

MARCH 22, 2021

TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. With this 3rd platform generation, you have more real time data analytics and a cost reduction because it is easier to manage this infrastructure in the cloud thanks to managed services.

Technology 130

Technology Architecture Google Cloud Metadata 130

Ascend.io

DECEMBER 19, 2023

That’s what we call a data pipeline. It could just as well be ‘ELT for Snowflake’ The key takeaway is that these terms are representative of the actual activity being undertaken: the construction and management of data pipelines within the Snowflake environment.

ETL Tools 52

ETL Tools IT Data Pipeline Data Warehouse 52

Knowledge Hut

NOVEMBER 17, 2023

As Azure Data Engineers, they'll be responsible for creating and looking after solutions that use data to help the company. They enhance data pipelines, transform data, and guarantee the accuracy, integrity, and compliance of the data. Azure Data Factory stands at the forefront, orchestrating data workflows.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

DataKitchen

MAY 10, 2024

How DataKitchen Solves Data Production Challenges DataKitchen’s DataOps Observability tackles these challenges head-on with its innovative DataOps TestGen software, which automates the generation of 32 distinct data quality validation tests.

Raw Data 49

Raw Data Data Ingestion Datasets Data 49

Monte Carlo

APRIL 28, 2023

A duck walks into a database and asks the bartender, “Got any data to crunch?” And that’s how DuckDB waddled its way into the world of data analytics – or so I imagine. Software Developers : Developers who need to embed a lightweight, high-performance database in their applications are choosing DuckDB.

Data Warehouse 52

Data Warehouse Programming Language Datasets Data Pipeline 52

Data Engineering Podcast

APRIL 3, 2022

Summary The flexibility of software oriented data workflows is useful for fulfilling complex requirements, but for simple and repetitious use cases it adds significant complexity. In this episode Satish Jayanthi explains how he is building a framework to allow enterprises to move quickly while maintaining guardrails for data workflows.

Data Warehouse 100

Data Warehouse Data Workflow Data Architecture SQL 100

Data Engineering Podcast

JULY 3, 2022

In order to quickly identify if and how two data systems are out of sync Gleb Mezhanskiy and Simon Eskildsen partnered to create the open source data-diff utility. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Data Engineering Podcast

JULY 31, 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.

IT 100

IT Metadata MongoDB MySQL 100

Knowledge Hut

MARCH 28, 2024

They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines. Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Familiarity with ETL tools and techniques for data integration.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52