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. How do you handle merge conflicts and resolution?

Data Lake 100

Data Lake PostgreSQL Datasets Machine Learning 100

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

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Data Science Blog: Data Engineering

MAY 20, 2024

Enter AnalyticsCreator AnalyticsCreator, a powerful tool for data management, brings a new level of efficiency and reliability to the CI/CD process. It offers full BI-Stack Automation, from source to data warehouse through to frontend. It supports a holistic data model, allowing for rapid prototyping of various models.

Data Pipeline 52

Data Pipeline BI Data Lake Data Warehouse 52

Data Engineering Podcast

JUNE 2, 2024

Summary Modern businesses aspire to be data driven, and technologists enjoy working through the challenge of building data systems to support that goal. Data governance is the binding force between these two parts of the organization. At what point does a lack of an explicit governance policy become a liability?

Data Governance 147

Data Governance Government Data Lake High Quality Data 147

Data Engineering Weekly

MARCH 3, 2024

There will be food, networking, and real-world talks around data engineering. Here is the agenda, 1) Data Application Lifecycle Management - Harish Kumar( Paypal) Hear from the team in PayPal on how they build the data product lifecycle management (DPLM) systems. 4) Building Data Products and why should you?

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering 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

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

Data Engineering Podcast

SEPTEMBER 23, 2018

Using the metaphor of a museum curator carefully managing the precious resources on display and in the vaults, he discusses the various layers of an enterprise data strategy. How do you define data curation? How does the size and maturity of a company affect the ways that they architect and interact with their data systems?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

The Modern Data Company

APRIL 15, 2024

It’s tailored for leaders who want to optimize their organization’s data use. Understanding Data’s Foundation Data modeling isn’t the first step in managing your company’s data; it’s more like a crucial phase that comes after several foundational layers.

Government 52

Government Metadata Data Data Lake 52

Data Engineering Podcast

JANUARY 28, 2024

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex. And Starburst does all of this on an open architecture with first-class support for Apache Iceberg, Delta Lake and Hudi, so you always maintain ownership of your data.

Data Lake 147

Data Lake Building High Quality Data AWS 147

Data Engineering Podcast

FEBRUARY 24, 2020

Summary Misaligned priorities across business units can lead to tensions that drive members of the organization to build data and analytics projects without the guidance or support of engineering or IT staff. The availability of cloud platforms and managed services makes this a viable option, but can lead to downstream challenges.

IT 100

IT Data Lake Data Pipeline Media 100

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Monte Carlo

FEBRUARY 21, 2023

Enter data fabric: a data management architecture designed to serve the needs of the business, not just those of data engineers. A data fabric is an architecture and associated data products that provide consistent capabilities across a variety of endpoints spanning multiple cloud environments.

Data Architecture 52

Data Architecture Architecture Metadata Unstructured Data 52

Precisely

MARCH 27, 2023

Staffed by experienced enterprise professionals with an average of nearly 25 tenure years, Precisely Strategic Services is proud to have earned a reputation as a top-tier data-centric management consulting organization. With our help, the organization increased its speed to market by 28%, generating $16.8

Food 52

Food Consulting Pharmaceutical Data Lake 52

Data Engineering Podcast

OCTOBER 5, 2020

Summary Analytical workloads require a well engineered and well maintained data integration process to ensure that your information is reliable and up to date. Building a real-time pipeline for your data lakes and data warehouses is a non-trivial effort, requiring a substantial investment of time and energy.

Data Integration 100

Data Integration Kafka Data Lake Machine Learning 100

Data Engineering Podcast

MAY 12, 2024

Summary Building a data platform is a substrantial engineering endeavor. Once it is running, the next challenge is figuring out how to address release management for all of the different component parts. Data lakes are notoriously complex. My thanks to the team at Code Comments for their support.

Management 147

Management Data Lake High Quality Data Machine Learning 147

Precisely

JUNE 6, 2023

The group kicked off the session by exchanging ideas about what it means to have a modern data architecture. Atif Salam noted that as recently as a year ago, the primary focus in many organizations was on ingesting data and building data lakes.

Data Architecture 52

Data Architecture Architecture Metadata Data Lake 52

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

DECEMBER 1, 2022

Data observability provides insight into the condition and evolution of the data resources from source through the delivery of the data products. Barr Moses of Monte Carlo presents it as a combination of data flow, data quality, data governance, and data lineage.

Data Lake 85

Data Lake Data Pipeline Data Governance Analytics Application 85

Data Engineering Podcast

MAY 18, 2024

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. My thanks to the team at Code Comments for their support. Want to see Starburst in action?

Building 278

Building Data Lake High Quality Data Business Intelligence 278

Monte Carlo

AUGUST 31, 2023

Your downstream data consumers including product analysts, marketing leaders, and sales teams rely on data-driven tools like CRMs, CXPs, CMSs, and any other acronym under the sun to do their jobs quickly and effectively. But what happens when the data is wrong?

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Cloudera

FEBRUARY 19, 2018

But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough. To keep up with tech trends, businesses have to face the challenges of integrating SAP with non-SAP technologies and embark on a crusade against data silos. Governance.

Data Lake 47

Data Lake Finance Government Hadoop 47

Databand.ai

JULY 5, 2023

Data catalog and lineage tools: These tools provide visibility into data lineage by tracking the origin, transformation, and consumption of data across the data pipeline. They help organizations understand the dependencies between data sources, processes, and systems, enabling better data governance and impact analysis.

Data Pipeline 52

Data Pipeline Data Lake Data Warehouse Datasets 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). Data lakes are notoriously complex. To start, can you share your definition of what constitutes a "Data Lakehouse"?

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Data Engineering Podcast

JUNE 9, 2024

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. My thanks to the team at Code Comments for their support. Want to see Starburst in action?

Process 130

Process Data Lake High Quality Data Machine Learning 130

Snowflake

AUGUST 16, 2023

Snowpipe Streaming enables low-latency streaming data pipelines to support writing data rows directly into Snowflake from business applications, IoT devices or event sources such as Apache Kafka, including topics coming from managed services such as Confluent Cloud or Amazon MSK. Learn more here. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 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. Go to dataengineeringpodcast.com/dagster today to get started.

Data Lake 182

Data Lake High Quality Data Data Pipeline Machine Learning 182

Knowledge Hut

DECEMBER 26, 2023

By referring to the following books, you will learn about various BI tools and operations like creating reports, tracking performance, managing data sources, etc. Data Engineering Data Engineering involves various operations like creating data pipelines, strategizing data management plans, processing data, and many more.

Data Science 52

Data Science Scala Programming Language R (Programming) 52

Data Engineering Podcast

DECEMBER 24, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Introducing RudderStack Profiles. RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Cloudera

FEBRUARY 16, 2022

Before we can understand how model lineage is managed and subsequently audited, we first need to understand some high-level constructs within CML. Within the CML data service, model lineage is managed and tracked at a project level by the SDX. The highest level construct in CML is a workspace.

Machine Learning 85

Machine Learning Algorithm Government Metadata 85

Data Engineering Podcast

MARCH 24, 2024

In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started.

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162

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. Can you start by sharing some of your experiences with data migration projects? Closing Announcements Thank you for listening!

Systems 130

Systems Data Lake High Quality Data Google Cloud 130

Data Engineering Podcast

APRIL 14, 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.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

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. What is involved in integrating Nessie into a given data stack?

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147