Data Governance Data Warehouse Data Workflow SQL 
Knowledge Hut
MARCH 28, 2024
Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB. Education & Skills Required Proficiency in SQL, Python, or other programming languages. Develop data models, data governance policies, and data integration strategies.
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 ? This is really the dark side of the data. You can choose your parameters like the region, the version or the number of CPUs.
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Data Engineering Podcast
OCTOBER 15, 2021
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. Connect your warehouse to Hightouch, paste a SQL query, and use their visual mapper to specify how data should appear in your SaaS systems.
Monte Carlo
JULY 27, 2023
Interestingly, only 43% specifically mention resolving the data quality issues that do arise. The skills, languages and tools of a data quality engineer Data quality engineers need to be highly skilled in multiple programming languages such as SQL (mentioned in 61% of postings), Python (56%), and Scala (13%).
Ascend.io
DECEMBER 19, 2023
You’re extracting and loading data first, then transforming it in Snowflake’s cloud data warehouse. Snowpipe : Automates data loading in near real-time, significantly reducing the latency in data availability for processing and analysis. that you can combine to create custom data workflows.
Knowledge Hut
NOVEMBER 2, 2023
Top 10 Azure Data Engineering Project Ideas for Beginners For beginners looking to gain practical experience in Azure Data Engineering, here are 10 Azure Data engineer real time projects ideas that cover various aspects of data processing, storage, analysis, and visualization using Azure services: 1.
Data Engineering Podcast
FEBRUARY 4, 2024
Summary Stream processing systems have long been built with a code-first design, adding SQL as a layer on top of the existing framework. In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable.
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