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Building end-to-end security for Messenger

Engineering at Meta

We are beginning to upgrade people’s personal conversations on Messenger to use end-to-end encryption (E2EE) by default Meta is publishing two technical white papers on end-to-end encryption: Our Messenger end-to-end encryption whitepaper describes the core cryptographic protocol for transmitting messages between clients.

Building 145
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How to learn data engineering

Christophe Blefari

The Rise of the Data Engineer The Downfall of the Data Engineer Functional Data Engineering — a modern paradigm for batch data processing There is a global consensus stating that you need to master a programming language (Python or Java based) and SQL in order to be self-sufficient. Here a small benchmark between some popular formats.

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The Foundations of a Modern Data-Driven Organisation: Change from Within (part 2 of 2)

Cloudera

However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization. Collecting workforce data as a tool for talent management. Streamlining operations with advanced analytics to preempt issues.

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Do You Manage Your Data Debt Alongside Your Technical Debt?

The Modern Data Company

Like technical debt, data debt represents the liability accrued over time by inefficient and outdated methods and technologies for handling corporate data. It is important to note that data debt has methodological and technological components. Data management technologies grow old and out of date.

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Revolutionizing Insurance: Optimize Your Claims Process to Drive Customer Satisfaction and Retention

Precisely

Key Takeaways: Insurers provide better customer experiences with claims processes that are simple, fast, empathetic, and deliver proactive communication throughout. Effective communication during the claims process not only improves customer satisfaction but also significantly boosts customer retention and your competitive advantage.

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Insurance Organizations Depend on the Quality of Their Data

Precisely

How Industry Leaders Get Superior Results The majority of respondents in the Arizent/Digital Insurance study rated their data management processes as being only moderately effective at meeting the core criteria for success. The top quartile, in contrast, reported better results, which were supported by better processes and technology.

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Setting The Stage For The Next Chapter Of The Cassandra Database

Data Engineering Podcast

What are some of the challenges that you and the Cassandra community have faced with the flurry of new data storage and processing systems that have popped up over the past few years? What do you see as the opportunities for Cassandra over the near to medium term as the cloud continues to grow in prominence?

Database 100