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Breaking State and Local Data Silos with Modern Data Architectures

Cloudera

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Solutions that support MDAs are purpose-built for data collection, processing, and sharing.

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5 Key Takeaways from Flink Forward 2023

Cloudera

Flink is, relatively speaking, a newer technology. However, it continues to gain adoption and inspire new development in the core engine as well as supporting technologies. Flink Forward is a great opportunity to learn about the cutting edge of streaming and stream processing technologies. Takeaway No.

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Apache Kafka Vs Apache Spark: Know the Differences

Knowledge Hut

A new breed of ‘Fast Dataarchitectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

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Enabling Data Mesh Principles for Organizational Agility

Snowflake

How, then, are modern data teams finding success with the data mesh? This system quickly became unmanageable as Roche sought to make more efficient use of its data resources. Rankin and his team found a solution to this problem in the budding concept of the data mesh.

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How to Become an Enterprise Architect? Skills, Prerequisites, Salary

Knowledge Hut

If you're fascinated by technology, possess a keen business acumen, and thrive in a dynamic environment, then a career as an EA could be the perfect path for you. Their unique blend of business, information, and technology expertise allows them to address challenges and opportunities at the intersection of these domains.

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Forrester – Chart Your Course To Insights-Driven Business Maturity

DataKitchen

After establishing a solid strategy, the second phase involves planning key processes and practices to support the strategy, including “the emerging and increasingly important DataOps and ModelOps processes and methodologies.”. Beginners: Ensure that your methodology, governance, and operations processes are agile and adaptive. .

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Top 7 Data Engineering Career Opportunities in 2024

Knowledge Hut

What is Data Engineering? Data engineering is the method to collect, process, validate and store data. It involves building and maintaining data pipelines, databases, and data warehouses. The purpose of data engineering is to analyze data and make decisions easier.