Data Engineering Weekly

OCTOBER 1, 2023

What is the data behavior? The blog talks about the current state of the recsys, ongoing work, and the basic user model recommendation. link] Pinterest: Lessons from debugging a tricky direct memory leak The blog is a classic example of debugging non-deterministic application errors in production. See how it works today.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Pipeline 52

Knowledge Hut

DECEMBER 22, 2023

Find out how you can make your own by reading this blog! What is Azure? Work Experience Section While adding your work experience, make sure to do it in reverse chronological order. enhancecv What if You Don’t Have Work Experience? As a result, there is high competition in the job market for this specific role.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Monte Carlo

SEPTEMBER 12, 2022

Now, according to Maxime, a new trend is emerging that could have a similar effect on data engineering workloads: reverse ETL. Reverse ETL tooling enables companies to easily move transformed data from their cloud warehouse out into operational business tools, like a CRM.

BI 52

BI Data Governance ETL Tools Data Warehouse 52

Grouparoo

APRIL 5, 2022

Grouparoo certainly had a set of early believers and users that saw what we were trying to accomplish. The Grouparoo team will be able to continue that mission with a bigger impact by enabling Reverse ETL for all Airbyte users. Read more on the Airbyte blog. Thank you to our users and investors for your continued support.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud 52

Monte Carlo

MARCH 30, 2022

How did it get to this point and what can be done? In this blog post, I’ll dive into 8 reasons for hidden data quality issues (or, the “silent majority” of data downtime) and best practices for improving detection and tracking. However, defining thresholds is really challenging. However, going from 0% null to 0.5%

Data Warehouse 52

Data Warehouse Data Machine Learning Data Engineering 52

Data Engineering Podcast

MAY 7, 2023

Can you describe what Segment Unify is and the story behind it? Can you describe what Segment Unify is and the story behind it? What are the net-new capabilities that it brings to the Segment product suite? What are some of the categories of attributes that need to be managed in a prototypical customer profile?

Pipeline-centric 130

Pipeline-centric Data Lake Machine Learning Data Warehouse 130

Data Engineering Weekly

DECEMBER 24, 2023

link] Sponsored: RudderStack launches Trino Reverse ETL source The integration supports warehouse-based diffing, making it the most performant Reverse ETL solution for Trino. RudderStack just launched Trino as a Reverse ETL source. It's the only Trino Reverse ETL solution that supports warehouse-based CDC.

Data Engineering 62

Data Engineering Data Engineer Engineering Deep Learning 62

Data Engineering Podcast

NOVEMBER 20, 2022

Summary The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. The biggest challenge with modern data systems is understanding what data you have, where it is located, and who is using it.

Systems 130

Systems Metadata Data Pipeline MongoDB 130

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool.

Metadata 130

Metadata MongoDB Scala MySQL 130

Data Engineering Podcast

JULY 2, 2021

Supercharge your business teams with customer data using Hightouch for Reverse ETL today. Can you start by describing what the Singer ecosystem is? What are the current weak points/challenges in the ecosystem? What are the current weak points/challenges in the ecosystem? What are the main goals of the Meltano Hub?

Data Integration 100

Data Integration SQL BI Data Warehouse 100

Towards Data Science

MAY 19, 2023

So what does Entropy look like in the context of a data platform? Source: [link] “It’s like the more money we come across, the more problems we see” Notorious B.I.G Some nice reads for my math nerds out there ( here and here ). Data engineers spend countless hours troubleshooting broken pipelines. The list goes on.

Pipeline-centric 105

Pipeline-centric Data Software Engineer Software Engineering 105

DataKitchen

SEPTEMBER 21, 2023

What is Data in Place? What is Data in Use? Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. One of the primary sources of tension?

Raw Data 70

Raw Data Data Business Intelligence High Quality Data 70

Data Engineering Podcast

JUNE 25, 2021

Supercharge your business teams with customer data using Hightouch for Reverse ETL today. What was your process for determining the structure of the tasks and the tooling used? What were some of the topics/tools that the students had the most difficulty with? What topics/tools were the easiest to grasp?

Data Engineering 100

Data Engineering Data Engineer Engineering BI 100

Monte Carlo

NOVEMBER 21, 2022

That gives a lot of credence to the idea you can look at Snowflake’s revenues as a proxy for what’s happening in the larger data ecosystem. Today, the classic data pipeline has an ETL layer that’s taking data from different systems, and putting it into a cloud data warehouse. Image courtesy of Tomasz Tunguz.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Confluent

MAY 21, 2019

What we really want is for the profile service to record any change in profile, and for the quote service to examine those changes and recalculate when required. What will the profile service publish? There are databases, document stores, data files, NoSQL and ETL processes involved. Chattanooga, TN” }.

Kafka 110

Kafka Insurance Architecture Metadata 110

Databand.ai

JULY 28, 2022

What is Data Lineage? What started as an idea of connecting between datasets quickly became a very confusing term that now gets misused often. It’s time to put order to the chaos and dig deep into what it really is. This article will unpack everything you need to know about data lineage, including: What is it?

Metadata 52

Metadata Data Lake Datasets Data Warehouse 52

ProjectPro

NOVEMBER 22, 2021

What is the best way to learn PySpark? What's the difference between an RDD, a DataFrame, and a DataSet? According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% from 2019 to 2026, reaching $61.42 billion by 2026. It has benefited the company in a variety of ways.

Hadoop 52

Hadoop Python Datasets Metadata 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Support Reverse ETL Initiatives Like Personalization 29. As a result, the below list is filled with clear and specific examples. Reduce The Amount Of Data Incidents 2.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Support Reverse ETL Initiatives Like Personalization 29. As a result, the below list is filled with clear and specific examples. Reduce the amount of data incidents 2.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52