Data Engineering Podcast

MARCH 31, 2024

To bring observability to dbt projects the team at Elementary embedded themselves into the workflow. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. What are the challenges/shortcomings associated with those approaches?

Project 130

Project Data Lake High Quality Data Data Workflow 130

Monte Carlo

AUGUST 21, 2023

Not to mention, there is a reason for the typical processes and structures that were ignored expedited for this project. Come to think of it, now that the project is complete there really isn’t any platform infrastructure that can help scale the next round of LLM models or other Gen AI product features. It was a painful experience.

Data Science 98

Data Science Machine Learning Media Data 98

dbt Developer Hub

JANUARY 23, 2023

Testing the quality of data in your warehouse is an important aspect in any mature data pipeline. One of the biggest blockers for developing a successful data quality pipeline is aggregating test failures and successes in an informational and actionable way. on BigQuery.

Metadata 52

Metadata High Quality Data SQL Data Integration 52

Monte Carlo

JANUARY 10, 2024

Intrinsic data quality is the quality of data assessed independently of its use case. Extrinsic data, meanwhile, is more about the context — it’s how your data interacts with the world outside and how it fits into the larger picture of your project or organization.

Data Cleanse 52

Data Cleanse Data Engineering Data Engineer Engineering 52

Monte Carlo

JUNE 12, 2023

Fortunately, the team had buy-in from executives to undertake this long-term project. “It It wasn’t seen as a luxury that we needed to basically build the next-generation data platform,” Vinny says. The team built out manual tests to address data quality issues as they came up.

Kafka 52

Kafka Algorithm Data Pipeline High Quality Data 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.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

Edureka

FEBRUARY 7, 2023

Azure Data Engineers use a variety of Azure data services, such as Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, to design and implement data solutions that meet the needs of their organization. Gain hands-on experience using Azure data services.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

Data Engineering Podcast

MAY 18, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Building 278

Building Data Lake High Quality Data Business Intelligence 278

Monte Carlo

AUGUST 8, 2023

By applying rules and checks, data validation testing verifies the data meets predefined standards and business requirements to help prevent data quality issues and data downtime. From this perspective, the data validation process looks a lot like any other DataOps process.

Data Validation 52

Data Validation Data Pipeline SQL Data 52

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). Multiple open source projects and vendors have been working together to make this vision a reality. Data lakes are notoriously complex.

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Data Engineering Podcast

NOVEMBER 19, 2023

Summary The dbt project has become overwhelmingly popular across analytics and data engineering teams. Dustin Dorsey and Cameron Cyr co-authored a practical guide to building your dbt project. In this episode they share their hard-won wisdom about how to build and scale your dbt projects.

Project 147

Project Data Lake High Quality Data SQL 147

Data Engineering Podcast

MARCH 24, 2024

Summary A core differentiator of Dagster in the ecosystem of data orchestration is their focus on software defined assets as a means of building declarative workflows. With their launch of Dagster+ as the redesigned commercial companion to the open source project they are investing in that capability with a suite of new features.

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162

Data Engineering Weekly

NOVEMBER 11, 2022

I took a break from data engineering and focused on system monitoring and observability for some time. Little did I know I would be building data pipelines to measure system efficiency instead of measuring business efficiency. As the famous saying goes; Once a data engineer, always a data engineer.

Systems 40

Systems High Quality Data Consulting Metadata 40

ProjectPro

FEBRUARY 21, 2023

For instance, with a projected average annual salary of $171,749, the GCP Professional Data Engineer certification was the top-paying one on this list in 2021. Boost Your Skills and Knowledge You can keep up with the newest technology and best practices in the industry by earning data engineering certifications.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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. Data lakes are notoriously complex. Your first 30 days are free!

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Monte Carlo

JULY 11, 2023

Regardless of the approach you choose, it’s important to keep a scrutinous eye on whether or not your data outputs are matching (or close to) your expectations; often, relying on a few of these measures will do the trick. Data accuracy vs. data quality Data accuracy and data quality are related concepts but they are not synonymous.

Data Cleanse 40

Data Cleanse Datasets Data Governance Government 40

Data Engineering Podcast

JUNE 2, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. number/scale of systems, types of data, AI) Data governance can often become an exercise in boiling the ocean. Email hosts@dataengineeringpodcast.com ) with your story.

Data Governance 130

Data Governance Government Data Lake High Quality Data 130

Data Engineering Podcast

MAY 26, 2024

When that system is responsible for the data layer the process becomes more challenging. Sriram Panyam has been involved in several projects that required migration of large volumes of data in high traffic environments. Can you start by sharing some of your experiences with data migration projects?

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Data Engineering Podcast

MAY 5, 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. Data lakes are notoriously complex. Your first 30 days are free!

Building 147

Building Data Lake High Quality Data Machine Learning 147

Monte Carlo

APRIL 24, 2023

Build vs buy orchestration tooling Unlike the other components we’ve discussed in Part 3, data pipelines don’t require orchestration to be considered functional—at least not at a foundational level. And data orchestration tools are generally easy to stand-up for initial use-cases. Missed Nishith’s 5 considerations?

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Data Engineering Podcast

APRIL 28, 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. Data lakes are notoriously complex. Your first 30 days are free!

Building 147

Building Data Lake High Quality Data Machine Learning 147

DataKitchen

JANUARY 3, 2022

When the project scope and schedule are fixed, managers have to add more staff to keep up with the workload. . These groups tend to be more insulated from their customer’s actual needs, so they take many months to deliver, and when a project does get done, it usually requires rework. Some IT teams are fantastic.

Business Analyst 98

Business Analyst Data Lake Consulting Data Analytics 98

Data Engineering Podcast

APRIL 14, 2024

Dagster offers a new approach to building and running data platforms and data pipelines. Data lakes are notoriously complex. How have you approached the evolution of RavenDB as you add new capabilities and mature the project? Dagster offers a new approach to building and running data platforms and data pipelines.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Data Engineering Podcast

FEBRUARY 4, 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. Email hosts@dataengineeringpodcast.com ) with your story. Starburst : ![Starburst

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

DataKitchen

NOVEMBER 4, 2021

It’s too hard to change our IT data product. Can we create high-quality data in an “answer-ready” format that can address many scenarios, all with minimal keyboarding? . “I I get cut off at the knees from a data perspective, and I am getting handed a sandwich of sorts and not a good one!”.

Process 98

Process Data Process Pharmaceutical Data Lake 98

Data Engineering Podcast

MARCH 10, 2024

The link that bridges the gap between data lake and warehouse capabilities is the catalog. The primary purpose of the catalog is to inform the query engine of what data exists and where, but the Nessie project aims to go beyond that simple utility. Data lakes are notoriously complex. Your first 30 days are free!

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

Data Engineering Podcast

MAY 12, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst is an end-to-end data lakehouse platform built on Trino, the query engine Apache Iceberg was designed for, with complete support for all table formats including Apache Iceberg, Hive, and Delta Lake.

Management 147

Management Data Lake High Quality Data Machine Learning 147

Data Engineering Podcast

MARCH 3, 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. What are the steps to take to build confidence in the availability of the data?

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Data Engineering Podcast

FEBRUARY 25, 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.

Database 162

Database Technology Data Lake High Quality Data 162

Monte Carlo

JANUARY 25, 2023

There is, however, an added dimension to this relationship: data producers are often consumers of upstream data sources. Data warehouse producers wear both hats working with upstream producers so they can consume high-quality data and producing high-quality data to provide to their consumers.

Data Warehouse 52

Data Warehouse Data High Quality Data Metadata 52

DataKitchen

JULY 27, 2023

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

Data Pipeline 52

Data Pipeline BI Machine Learning Data Preparation 52

Data Engineering Podcast

FEBRUARY 11, 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. Email hosts@dataengineeringpodcast.com ) with your story.

Data Lake 147

Data Lake High Quality Data Government Data Pipeline 147

Data Engineering Podcast

MARCH 17, 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. Data lakes are notoriously complex. Your first 30 days are free!

Database 147

Database Data Lake High Quality Data Data Workflow 147

Data Engineering Podcast

DECEMBER 24, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

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. As you strive to push the limits of technical capacity in data systems, how does that impact the usability of the resulting systems?

Data Process 147

Data Process Process Data Lake High Quality Data 147

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. Sponsored By: Starburst : ![Starburst

Systems 130

Systems Designing Data Lake SQL 130

Monte Carlo

JUNE 20, 2023

While it seems like it fits the requirements, you don’t quite trust it — who knows where the data in this shifty table has been. This project is your baby; you just can’t risk it. You can think of SLOs as measures that remove uncertainty surrounding the data and serve as a primary way to define trustworthiness for its consumers.

Building 52

Building Data Datasets High Quality Data 52