Data Pipeline Data Workflow Python SQL 
Snowflake
APRIL 17, 2024
Yet while SQL applications have long served as the gateway to access and manage data, Python has become the language of choice for most data teams, creating a disconnect. Recognizing this shift, Snowflake is taking a Python-first approach to bridge the gap and help users leverage the power of both worlds.
Data Engineering Podcast
SEPTEMBER 11, 2022
Building reliable data pipelines is a complex and costly undertaking with many layered requirements. In order to reduce the amount of time and effort required to build pipelines that power critical insights Manish Jethani co-founded Hevo Data. Data stacks are becoming more and more complex.
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Christophe Blefari
SEPTEMBER 28, 2023
Historically, data pipelines were designed with an ETL approach, storage was expensive and we had to transform the data before using it. With the cloud, we got the—false—impression that resources were infinite and cheap, so we switched to ETL by pushing everything into a central data storage.
Knowledge Hut
MARCH 28, 2024
They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines. Role Level Intermediate Responsibilities Design and develop data pipelines to ingest, process, and transform data. Education & Skills Required Programming languages like Python and R.
Data Engineering Podcast
JULY 3, 2022
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. Your newly mimicked datasets are safe to share with developers, QA, data scientists—heck, even distributed teams around the world. Great Expectations, Soda SQL, etc.)
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 Engineering Podcast
JANUARY 1, 2022
In the same way that application performance monitoring ensures reliable software and keeps application downtime at bay, Monte Carlo solves the costly problem of broken data pipelines. The data you’re looking for is already in your data warehouse and BI tools. No more scripts, just SQL.
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