Data Engineering Podcast

NOVEMBER 6, 2022

Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. Sign up free at dataengineeringpodcast.com/rudder Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

MongoDB 130

MongoDB Scala MySQL Data Lake 130

Data Engineering Podcast

JULY 3, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Architecture 100

Architecture Metadata MongoDB MySQL 100

Monte Carlo

MAY 26, 2023

Pro-tip : Don’t confuse data freshness with data latency. Data latency is the time between when the event occurs and when the data is available in the core data system (like a data warehouse) whereas data freshness is how recently the data within the final asset (table, BI report) has been updated.

Data Pipeline 98

Data Pipeline Data Data Warehouse Machine Learning 98

Data Engineering Podcast

JULY 17, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Data Management 130

Data Management Management Metadata MongoDB 130

Data Engineering Podcast

JUNE 19, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Metadata 130

Metadata Unstructured Data MongoDB MySQL 130

Data Engineering Podcast

JULY 10, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Metadata 100

Metadata MongoDB MySQL Data Pipeline 100

Monte Carlo

AUGUST 22, 2023

Slow running data pipelines cost data teams time, money, and goodwill. They utilize excess compute, cause data quality issues, and create a poor user experience for data consumers that must wait in exasperation for data to return, dashboards to load, and AI models to update. This could drive unwanted costs.

Metadata 52

Metadata Data Pipeline Data Warehouse Utilities 52

Data Engineering Podcast

MARCH 16, 2020

Are you spending too much time maintaining your data pipeline? Snowplow empowers your business with a real-time event data pipeline running in your own cloud account without the hassle of maintenance. Set up a demo and mention you’re a listener for a special offer!

Building 100

Building Data Warehouse NoSQL Data Lake 100

Workfall

SEPTEMBER 18, 2023

Meet Airbyte, the data magician that turns integration complexities into child’s play. In this digital era, businesses thrive on data, and making this data dance harmoniously with your analytics tools is crucial. With its drag-and-drop interface, creating data pipelines becomes as easy as arranging blocks in a puzzle.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Data Engineering Podcast

NOVEMBER 13, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

MongoDB 100

MongoDB Scala Google Cloud MySQL 100

Data Engineering Podcast

JUNE 5, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Security 100

Data Security Metadata MongoDB Scala 100

Data Engineering Podcast

FEBRUARY 24, 2020

Are you spending too much time maintaining your data pipeline? Snowplow empowers your business with a real-time event data pipeline running in your own cloud account without the hassle of maintenance. Set up a demo and mention you’re a listener for a special offer!

IT 100

IT Data Lake Data Pipeline Media 100

Monte Carlo

NOVEMBER 9, 2023

And in many ways, LLMs are going to make data engineers more valuable – and that’s exciting! Still, it’s one thing to show your boss a cool demo of a data discovery tool or text-to-SQL generator – it’s another thing to use it with your company’s proprietary data, or even more concerning, customer data.

Unstructured Data 86

Unstructured Data Database Data Pipeline Architecture 86

Data Engineering Podcast

JUNE 12, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Metadata 100

Metadata Unstructured Data Business Intelligence MongoDB 100

Data Engineering Podcast

DECEMBER 21, 2020

Fortunately, there’s hope: in the same way that New Relic, DataDog, and other Application Performance Management solutions ensure reliable software and keep application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. The first 25 will receive a free, limited edition Monte Carlo hat!

Data Governance 130

Data Governance Government Data Lake Banking 130

Data Engineering Podcast

MARCH 2, 2020

Are you spending too much time maintaining your data pipeline? Snowplow empowers your business with a real-time event data pipeline running in your own cloud account without the hassle of maintenance. Set up a demo and mention you’re a listener for a special offer!

Kafka 100

Kafka Process PostgreSQL MySQL 100

Data Engineering Weekly

JULY 2, 2023

Please send your talk proposal today, and let's collaborate to make this the most exciting, insightful, and interactive Data Eng & AI conference yet! LinkedIn write about Hoptimator for auto generated Flink pipeline with multiple stages of systems. Please watch out for this space for the conference registration page soon!!!

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107

Data Engineering Podcast

JANUARY 11, 2021

Fortunately, there’s hope: in the same way that New Relic, DataDog, and other Application Performance Management solutions ensure reliable software and keep application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. The first 25 will receive a free, limited edition Monte Carlo hat!

PostgreSQL 100

PostgreSQL Python Data Lake Computer Science 100

Data Engineering Podcast

JANUARY 4, 2021

Fortunately, there’s hope: in the same way that New Relic, DataDog, and other Application Performance Management solutions ensure reliable software and keep application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. The first 25 will receive a free, limited edition Monte Carlo hat!

Python 100

Python Data Lake Machine Learning Computer Science 100

Data Engineering Podcast

DECEMBER 16, 2019

You work hard to make sure that your data is clean, reliable, and reproducible throughout the ingestion pipeline, but what happens when it gets to the data warehouse? Dataform picks up where your ETL jobs leave off, turning raw data into reliable analytics.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Monte Carlo

JANUARY 29, 2021

For Blinkist , a global book insights subscription service, broken data pipelines led to unreliable marketing spend, costly data fire drills, and loss of executive trust. When COVID-19 hit, they realized the growth of their company was being hindered by bad data. Talk to us! Request a free trial!

Business Intelligence 40

Business Intelligence Data Warehouse Data Pipeline Data 40

Striim

FEBRUARY 10, 2023

To facilitate the data integration process, it used Striim, which allowed it to: Import historical and real-time on-premise data from its Oracle and DB2 mainframe databases. Process the data in flight, including detecting and transforming mismatched timestamp fields. Request a demo today.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

Monte Carlo

MAY 26, 2023

This could be the result of a sync issue, the type of information each collects, or how each platform treats different data types. Having the data warehouse as a central source of truth can help present a more consistent view of the campaign.

Datasets 52

Datasets Data Warehouse Data Validation Data 52

Monte Carlo

JULY 13, 2021

Incident IQ gives data engineers and analysts a centralized, all-in-one solution for conducting incident management and root cause analysis on your data pipelines. Be sure to check out our Live Product Demo on July 15, 2021 at 12:00 p.m. Video courtesy of Monte Carlo. EST / 9:00 a.m. PST to learn more.

Food 40

Food Data Pipeline BI Business Intelligence 40

Meltano

JULY 19, 2022

Extraction and Loading Tasks in ELT pipeline A custom extractor must present the extracted data in a form that the tool can use to load it into the target sink like a data warehouse. Singer is a commonly used tool for extracting data, which serves as the specification for implementing data extractors and loaders.

Building 52

Building Python Database Project 52

Data Engineering Podcast

MAY 1, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Struggling with broken pipelines?

Data Warehouse 100

Data Warehouse Data Integration Cloud Google Cloud 100

Data Engineering Podcast

JUNE 1, 2021

Summary Every part of the business relies on data, yet only a small team has the context and expertise to build and maintain workflows and data pipelines to transform, clean, and integrate it. RudderStack’s smart customer data pipeline is warehouse-first.

Data Pipeline 100

Data Pipeline Data Warehouse Data Workflow Data 100

ProjectPro

JANUARY 19, 2022

Along with this, you will learn how to perform data analysis using GraphX and Neo4j. Apache Zeppelin Demo Big Data Project for Data Analysis : This project is best for beginners exploring big data tools. Depending on the company you want to work with, you will be asked to learn them deeply.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Data Engineering Podcast

DECEMBER 28, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Lake 130

Data Lake Data Warehouse Data Pipeline MongoDB 130

Data Engineering Podcast

DECEMBER 25, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Machine Learning 130

Machine Learning Systems Data Lake Data Warehouse 130

Data Engineering Podcast

DECEMBER 18, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Lake 100

Data Lake Data Warehouse Data Pipeline MongoDB 100

Data Engineering Podcast

NOVEMBER 27, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Lake 100

Data Lake Data Warehouse MongoDB Data Pipeline 100

Data Engineering Podcast

NOVEMBER 20, 2022

Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Monitoring data quality, tracing incidents, and testing changes can be daunting and often takes hours to days or even weeks. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.

Data Lake 130

Data Lake Data Ingestion MongoDB Scala 130

Data Engineering Podcast

APRIL 24, 2022

If you’re a data engineering podcast listener, you get credits worth $3000 on an annual subscription Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Struggling with broken pipelines?

Data Warehouse 100

Data Warehouse Data Lake Data Pipeline BI 100

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. Coalesce is a platform designed to reduce repetitive work for common workflows by adopting a visual pipeline builder to support your data warehouse transformations.

Data Warehouse 100

Data Warehouse Data Workflow Data Architecture SQL 100

Data Engineering Podcast

JUNE 26, 2022

Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Modern data teams are dealing with a lot of complexity in their data pipelines and analytical code.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130