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Introducing the 2019 Data Heroes – EMEA!

Cloudera

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data.

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Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. That’s where data engineers are on the go. Experience with Azure services for big data processing and analytics.

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Top 7 Data Engineering Career Opportunities in 2024

Knowledge Hut

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. What are the Data Engineer Career Opportunities?

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The DataOps Vendor Landscape, 2021

DataKitchen

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Genie — Distributed big data orchestration service by Netflix. DataOps is a hot topic in 2021.

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Data Quality at Airbnb

Airbnb Tech

Governance In addition to needing to lay out an overarching strategy for data architecture, Airbnb also needed a centralized governance process to enable teams to adhere to the strategy and standards. Data Architect Working Group  — Composed of senior data engineers from across the company.

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Data Quality at Airbnb

Airbnb Tech

During this transformation, Airbnb experienced the typical growth challenges that most companies do, including those that affect the data warehouse. In the first post of this series, we shared an overview of how we evolved our organization and technology standards to address the data quality challenges faced during hyper growth.