Data Engineering Podcast

OCTOBER 22, 2021

One of the driving forces for that change has been the rise of analytics engineering powered by dbt. Supercharge your business teams with customer data using Hightouch for Reverse ETL today. Modern Data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Engineering 100

Engineering Business Intelligence BI Data Warehouse 100

Knowledge Hut

NOVEMBER 17, 2023

Azure Data Engineers play an important role in building efficient, secure, and intelligent data solutions on Microsoft Azure's powerful platform. The position of Azure Data Engineers is becoming increasingly important as businesses attempt to use the power of data for strategic decision-making and innovation.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Weekly

OCTOBER 30, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The highlights are that 59% of folks think data catalogs are sometimes helpful.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Knowledge Hut

NOVEMBER 2, 2023

Azure Data engineering projects are complicated and require careful planning and effective team participation for a successful completion. While many technologies are available to help data engineers streamline their workflows and guarantee that each aspect meets its objectives, ensuring that everything works properly takes time.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Monte Carlo

JULY 27, 2023

These specialists are also commonly referred to as data reliability engineers. To be successful in their role, data quality engineers will need to gather data quality requirements (mentioned in 65% of job postings) from relevant stakeholders. About 61% request you also have a formal computer science degree.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Knowledge Hut

DECEMBER 28, 2023

Its comprehensive suite of services can handle data at scale. It’s no surprise that the demand for certified Azure data engineers has skyrocketed. Today, Azure Data Engineer certification is an invaluable asset for those looking to excel in the field of data engineering. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Netflix Tech

NOVEMBER 14, 2023

Now, let’s explore the state of our pipelines after incorporating Psyberg. Pipelines After Psyberg Let’s explore how different modes of Psyberg could help with a multistep data pipeline. This ensures that the next instance of the workflow will pick up newer updates.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

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

Databand.ai

AUGUST 30, 2023

It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time. This includes data ingestion, processing, storage, and analysis.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Data Engineering Podcast

FEBRUARY 20, 2022

Summary The life sciences as an industry has seen incredible growth in scale and sophistication, along with the advances in data technology that make it possible to analyze massive amounts of genomic information. RudderStack’s smart customer data pipeline is warehouse-first. regulatory, security, etc.)

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

DataKitchen

DECEMBER 20, 2020

Slow and inflexible analytics development processes can be an early bottleneck that limits data-driven agility. Data analytics agility is the most critical and, often overlooked, component of business agility. . The Role of DataOps and the DataOps Engineer. The agility of analytics directly relates to data analytics workflows.

Engineering 59

Engineering Manufacturing Data Analytics Data Workflow 59

Christophe Blefari

SEPTEMBER 28, 2023

We need to store, process and visualise data, everything else is just marketing. I often say that data engineering is boring, insanely boring. When you are a data engineer you're getting paid to build systems that people can rely on. More importantly, the modern 4-vendor data stack is too expensive to scale.

Cloud Storage 147

Cloud Storage Big Data Hadoop SQL 147

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

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.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 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. We want interoperability for any data stored versus we have to think how to store the data in a specific node to optimize the processing. We want to have our hands free and be totally devoted to devops principles.

Architecture 130

Architecture Technology Google Cloud Metadata 130

Data Engineering Podcast

JULY 3, 2022

Summary The perennial challenge of data engineers is ensuring that information is integrated reliably. 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.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

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

MAY 3, 2021

Summary The Data industry is changing rapidly, and one of the most active areas of growth is automation of data workflows. Taking cues from the DevOps movement of the past decade data professionals are orienting around the concept of DataOps. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Data Engineering Podcast

JULY 31, 2022

In this episode Ernie Ostic shares the approach that he and his team at Manta are taking to build a complete view of data lineage across the various data systems in your organization and the useful applications of that information in the work of every data stakeholder. Can you describe what Manta is and the story behind it?

IT 100

IT Metadata MongoDB MySQL 100

Data Engineering Podcast

SEPTEMBER 4, 2022

In this episode Gopal Erinjippurath discusses the data engineering challenges of building and serving those data sets, and how they are distilling complex climate information into consumable facts so you don’t have to be an expert to understand it. Data stacks are becoming more and more complex.

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100

Data Engineering Podcast

JANUARY 1, 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 Warehouse 100

Data Warehouse Data Lake SQL Hadoop 100

Data Engineering Podcast

APRIL 5, 2021

She explains how the design of the platform is informed by the needs of managing data projects for large and small teams across her previous roles, how it integrates with your existing systems, and how it can work to bring everyone onto the same page. RudderStack’s smart customer data pipeline is warehouse-first.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Data Engineering Podcast

OCTOBER 15, 2021

In this episode they discuss the recent work that has been done by the community, how their work is building on top of that foundation, and how you can get started with DataHub for your own work to manage data discovery today. Supercharge your business teams with customer data using Hightouch for Reverse ETL today.

Metadata 100

Metadata BI Data Warehouse Government 100

Data Engineering Podcast

OCTOBER 19, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it?

Machine Learning 100

Machine Learning Data Engineering Data Engineer Data 100

DataKitchen

JANUARY 25, 2022

When internal resources fall short, companies outsource data engineering and analytics. There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. . The challenge is that data engineering and analytics are incredibly complex.

Consulting 97

Consulting Recruitment Data Lake Data Engineering 97

Monte Carlo

MARCH 24, 2021

As a new or aspiring data engineer, there are some essential technologies and frameworks you should know. How to build a data pipeline? How to clean, transform, and model your data? How to prevent broken data workflows before you get that frantic call from your CEO about her missing data?

Data Engineering 40

Data Engineering Data Engineer Engineering Software Engineer 40

Workfall

JUNE 12, 2023

In this dynamic realm of data engineering, a monumental challenge takes centre stage: efficiently managing the ever-changing tides of real-time data. Data, the lifeblood of organisations, holds the key to unlocking untapped potential and propelling businesses forward. Where Is CDC Used and Who Uses It?

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Meltano

JULY 7, 2022

An ideal data stack today can have upwards of 15 tools in it, including extract and loader tools, transformers, reverse ETL, warehouses, business intelligence (BI) tools, and metrics layers. Companies want to feel confident that their data is good—that it can be relied upon and trusted. Data is just very different from dev.

BI 52

BI Software Engineer Software Engineering Data Workflow 52

Monte Carlo

JANUARY 16, 2024

Factor in the advertising strategies, media production, partner programming, audience analytics…and you’re looking at an ocean of data that would fill even the deepest trench (we’d like a television show about that too, please!). So how does Fox’s data strategy support these complex data workflows? Image from Castor.

Government 52

Government High Quality Data Data Governance Entertainment 52

Monte Carlo

DECEMBER 13, 2023

You’re probably struggling to make business decisions with bad data or dealing with delayed or incorrect data causing a mess for downstream consumers. At this stage, your goal is pretty simple: understand how your data pipelines are operating today. There’s so much power right there.

BI 52

BI Data Ingestion SQL Data Warehouse 52

ThoughtSpot

SEPTEMBER 6, 2023

Those coveted insights live at the end of a process lovingly known as the data pipeline. The pathway from ETL to actionable analytics can often feel disconnected and cumbersome, leading to frustration for data teams and long wait times for business users. The key to this automation is their fully managed connectors.

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

Monte Carlo

APRIL 24, 2023

The ingestion process can be broadly categorized into 3 paradigms: Batch: import data in bulk from varied sources Streaming: ingest event style data Incremental (or mini batch): in between batch and streaming Source : Fundamentals of Data Engineering by Joe Reis and Matt Housley. Missed Nishith’s 5 considerations?

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Monte Carlo

SEPTEMBER 20, 2022

Prefect, the company behind the eponymous data workflow management system, is on a mission to make coordinating data flows easier. Pitched as “air traffic control for your data,” Prefect supports the likes of Amazon, Databricks, and Adobe just to name a few. But a growing company means growing data needs.

Big Data 52

Big Data Data Warehouse Data Data Governance 52

Data Engineering Podcast

FEBRUARY 18, 2024

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!

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Data Engineering Podcast

APRIL 21, 2024

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. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

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. Go to dataengineeringpodcast.com/dagster today to get started.

Project 130

Project Data Lake High Quality Data Data Workflow 130

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