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Back to the Financial Regulatory Future

Cloudera

It’s hard to believe it’s been 15 years since the global financial crisis of 2007/2008. Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture.

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Building Real-Time Data Architectures to Foster Innovation

Rockset

Lessons from scaling facebook's online data infrastructure There are 3 growth numbers that stand out when I look back at the hyper-growth years of facebook from 2007 until 2015, when I was managing facebook's online data infrastructure team: user growth, team growth and infrastructure growth.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. The Dawn of Telco Big Data: 2007-2012. Let’s examine how we got here.

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Hands-On Introduction to Delta Lake with (py)Spark

Towards Data Science

In this context, data management in an organization is a key point for the success of its projects involving data. One of the main aspects of correct data management is the definition of a data architecture. The implementation 0.

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Top 8 Data Engineering Books [Beginners to Advanced]

Knowledge Hut

Key Benefits and Takeaways: Learn the core concepts of big data systems. Investigate real-time data processing methods by employing distributed systems. Master the art of data modeling and developing scalable data architectures. Author Name: Vincent Rainardi Year of Release: 2007 Goodreads Rating: 3.89/5