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. How does it work?

Systems 100

Systems Software Engineer Software Engineering Data Warehouse 100

Netflix Tech

NOVEMBER 14, 2023

In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing. 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.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Data Engineering Podcast

JANUARY 30, 2022

Summary Pandas is a powerful tool for cleaning, transforming, manipulating, or enriching data, among many other potential uses. As a result it has become a standard tool for data engineers for a wide range of applications. Today’s episode is Sponsored by Prophecy.io – the low-code data engineering platform for the cloud.

Data Engineering 100

Data Engineering Data Engineer Engineering Data Pipeline 100

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

Raw Data 40

Raw Data Data Ingestion Datasets Data 40

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 teams are increasingly under pressure to deliver.

Data Integration 100

Data Integration MongoDB Scala MySQL 100

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Knowledge Hut

SEPTEMBER 25, 2023

This demonstrates how in-demand Microsoft Certified Data Engineers are becoming. They are moving their servers and on-premises data to Azure Cloud. What does all of this mean for Data Engineering professionals? In order to manage big data and other operational services, businesses are continuously in need of data engineers.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Data Engineering Podcast

OCTOBER 22, 2021

In this episode Oliver Laslett describes why dashboards aren’t sufficient for business analytics, how Lightdash promotes the work that you are already doing in your data warehouse modeling with dbt, and how they are focusing on bridging the divide between data teams and business teams and the requirements that they have for data workflows.

Engineering 100

Engineering Business Intelligence BI Data Warehouse 100

Data Engineering Podcast

APRIL 5, 2021

Summary One of the biggest obstacles to success in delivering data products is cross-team collaboration. This introduces a barrier to communication that is difficult to overcome, particularly in teams that have not reached a significant level of maturity in their data journey.

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Data Engineering Podcast

JULY 31, 2022

Summary Data lineage is the roadmap for your data platform, providing visibility into all of the dependencies for any report, machine learning model, or data warehouse table that you are working with. Atlan is the metadata hub for your data ecosystem.

IT 100

IT Metadata MongoDB MySQL 100

Ascend.io

DECEMBER 19, 2023

Our focus is to make your decision-making process smoother, helping you understand how to best integrate ETL into your data strategy. You’re extracting and loading data first, then transforming it in Snowflake’s cloud data warehouse. That’s what we call a data pipeline. But first, a disclaimer.

ETL Tools 52

ETL Tools IT Data Pipeline Data Warehouse 52

Data Engineering Podcast

JANUARY 1, 2022

Summary This has been an active year for the data ecosystem, with a number of new product categories and substantial growth in existing areas. With their managed Kubernetes platform it’s now even easier to deploy and scale your workflows, or try out the latest Helm charts from tools like Pulsar and Pachyderm. Missing data?

Data Warehouse 100

Data Warehouse Data Lake SQL Hadoop 100

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. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

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

MARCH 28, 2024

Data science has become one of the most trending fields today. Data engineering is one of them. According to AnalytixLabs , the data science market is expected to be worth USD 230.80 This demonstrates the increasing need for Microsoft Certified Data Engineers. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

SEPTEMBER 4, 2022

Sust Global was created to provide curated data sets for organizations to be able to analyze climate information in the context of their business needs. Data stacks are becoming more and more complex. All thanks to 50+ quality checks, extensive column-level lineage, and 20+ connectors across the Data Stack.

MongoDB 100

MongoDB Scala MySQL Data Ingestion 100

Data Engineering Podcast

OCTOBER 15, 2021

Summary The binding element of all data work is the metadata graph that is generated by all of the workflows that produce the assets used by teams across the organization. The DataHub project was created as a way to bring order to the scale of LinkedIn’s data needs. No more scripts, just SQL.

Metadata 100

Metadata BI Data Warehouse Government 100

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

Data Engineering Podcast

OCTOBER 19, 2020

Summary In order for analytics and machine learning projects to be useful, they require a high degree of data quality. To ensure that your pipelines are healthy you need a way to make them observable. 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

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. This is critical because data curation is costly and data quality is subjective.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

DataKitchen

JANUARY 25, 2022

Analytics are prone to frequent data errors and deployment of analytics is slow and laborious. 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. .

Consulting 97

Consulting Recruitment Data Lake Data Engineering 97

Monte Carlo

JANUARY 16, 2024

They run on data powered by Fox. 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?

Government 52

Government High Quality Data Data Governance Entertainment 52

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. And don’t forget to thank them for their continued support of this show!

Data Warehouse 100

Data Warehouse Data Pipeline BI Metadata 100

Knowledge Hut

DECEMBER 28, 2023

Human society in 2023 is a digital world, and its fuel - its currency - is data. Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Monte Carlo

SEPTEMBER 20, 2022

Data teams spend millions per year tackling the persistent challenges of data downtime. However, it’s often the leanest data teams that feel the sting of poor data quality the most. Prefect, the company behind the eponymous data workflow management system, is on a mission to make coordinating data flows easier.

Big Data 52

Big Data Data Warehouse Data Data Governance 52

Monte Carlo

DECEMBER 13, 2023

Over the last five years, data observability has leveled up from industry buzzword to a must-have element of every data stack. With data observability, teams can identify and proactively resolve incidents of data downtime — moments when data is partial, erroneous, missing, or otherwise inaccurate. The outcome?

BI 52

BI Data Ingestion SQL Data Warehouse 52

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. In this blog, we will cover: What Is CDC and Its Benefits?

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

DareData

NOVEMBER 28, 2023

In today's data-driven world, machine learning has emerged as a transformative force, empowering organizations to extract valuable insights from vast amounts of data. As the scope of the models and the data continues to scale, the role of a Data Scientist has evolved accordingly in the last years. But that is not all!

Data Science 52

Data Science Medical Machine Learning Data 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. Keep reading to see how it works. What is a SpotApp?

Data Workflow 91

Data Workflow Raw Data Data Lake Business Intelligence 91

Meltano

JULY 7, 2022

Gone are the days when success meant keeping data teams small and getting your insights quickly with tools built in-house. Data is taking on a new level of importance to businesses, and expectations are changing. The modern data stack and data lifecycle are extremely complex. Data is just very different from dev.

BI 52

BI Software Engineer Software Engineering Data Workflow 52

Monte Carlo

APRIL 24, 2023

In an evolving data landscape, the explosion of new tooling solutions—from cloud-based transforms to data observability —has made the question of “build versus buy” increasingly important for data leaders. But it’s not just our data platform that impacts how we define the problem and its solution.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

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

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

Data Engineering Podcast

MARCH 17, 2024

Summary A significant portion of data workflows involve storing and processing information in database engines. 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.

Database 147

Database Data Lake High Quality Data Data Workflow 147

DataKitchen

DECEMBER 20, 2020

Data-driven companies sense change through data analytics. Companies turn to their data organization to provide the analytics that stimulates creative problem-solving. The speed at which the data team responds to these requests is critical. The agility of analytics directly relates to data analytics workflows.

Engineering 59

Engineering Manufacturing Data Analytics Data Workflow 59

Data Engineering Podcast

MAY 12, 2024

Summary Building a data platform is a substrantial engineering endeavor. 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.

Management 130

Management Data Lake High Quality Data Machine Learning 130