Knowledge Hut
MARCH 28, 2024
Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. Familiarity with ETL tools and techniques for data integration.
François Nguyen
MARCH 22, 2021
TL;DR After setting up and organizing the teams, we are describing 4 topics to make data mesh a reality. How do we build data products ? How can we interoperate between the data domains ? As you can see, this is in the code part where you are building your data pipelines, a misnomer because this is an over simplification.
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Data Engineering Podcast
OCTOBER 15, 2021
Are you bored with writing scripts to move data into SaaS tools like Salesforce, Marketo, or Facebook Ads? Hightouch is the easiest way to sync data into the platforms that your business teams rely on. The data you’re looking for is already in your data warehouse and BI tools. No more scripts, just SQL.
Data Engineering Podcast
APRIL 5, 2021
Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. RudderStack’s smart customer data pipeline is warehouse-first.
Monte Carlo
JULY 27, 2023
Data quality engineers also need to have experience operating in cloud environments and using many of the modern data stack tools that are utilized in building and maintaining data pipelines. 78% of job postings referenced at least part of their environment was in a modern data warehouse, lake, or lakehouse.
Ascend.io
DECEMBER 19, 2023
You’re extracting and loading data first, then transforming it in Snowflake’s cloud data warehouse. Real or Near-Real Time Processing: If real-time or near-real-time data processing is critical, some ETL tools are specifically designed to handle streaming data more efficiently than traditional data warehouse operations.
Monte Carlo
SEPTEMBER 20, 2022
Here’s how Prefect , Series B startup and creator of the popular data orchestration tool, harnessed the power of data observability to preserve headcount, improve data quality and reduce time to detection and resolution for data incidents. But a growing company means growing data needs. Scaling data governance.
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