Wed.Mar 06, 2024

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Making messaging interoperability with third parties safe for users in Europe

Engineering at Meta

To comply with a new EU law, the Digital Markets Act (DMA), which comes into force on March 7th, we’ve made major changes to WhatsApp and Messenger to enable interoperability with third-party messaging services. We’re sharing how we enabled third-party interoperability (interop) while maintaining end-to-end encryption (E2EE) and other privacy guarantees in our services as far as possible.

Protocol 135
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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera Blog

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics. We’re at a crucial point in time where the excitement and potential surrounding AI has elevated the importance of improving access to the mission-critical data that helps organizations implement it at scale.

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Data-Centric: How Big Things Get Done (in IT)

TDAN

I read “How Big Things Get Done” when it first came out about six months ago.[1] I liked it then. But recently, I read another review of it, and another coin dropped.

Education 105
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Article: The Hidden Cost of Using Managed Databases

InfoQ Articles

The rising popularity of managed relational databases brings hidden costs and informed decisions are crucial for optimal use. This article shows the importance of monitoring service expenses, revising default settings, and understanding operational constraints, considering limitations like reduced flexibility and observability.

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KX and Databricks Integration: Advancing Time-series Data Analytics in Capital Markets and Beyond

databricks

KX and Databricks have partnered to develop time series analytics solutions for the capital markets sector to support many use cases including quant.

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The Five Biggest Challenges with Large-Scale Cloud Migrations

Dataversity

The popularity of cloud computing continues to grow. In fact, research firm Gartner indicates that by 2028, cloud computing will “shift from being a technology disruptor to becoming a necessary component for maintaining business competitiveness.” It is estimated that as many as 90% of organizations in the United States are utilizing the cloud to some degree, with 47% pursuing a […] The post The Five Biggest Challenges with Large-Scale Cloud Migrations appeared first on DATAVERSITY.

Cloud 64
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Simplify PySpark testing with DataFrame equality functions

databricks

The DataFrame equality test functions were introduced in Apache Spark™ 3.5 and Databricks Runtime 14.2 to simplify PySpark unit testing. The full set o.

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D2C236: Introducing New Co-Host Kyler Middleton

Packet Pushers

Today we welcome a new co-host, Kyler Middleton, to the Day Two Cloud podcast. Kyler grew up in rural Western Nebraska, fixing neighboring farmers computers in exchange for brownies and Rice Krispies. Now shes the newest co-host for Day Two Cloud perhaps a lateral move, given the lack of baked goods. Kyler will draw on. Read more » Today we welcome a new co-host, Kyler Middleton, to the Day Two Cloud podcast.

Cloud 52
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The Importance of a Federated Data Stewardship Approach

TDAN

In the digital era, navigating the choppy waters of data governance poses a significant challenge for enterprises. On one end of the spectrum, a rigid command-and-control approach stifles innovation and agility, turning data management into a bottleneck rather than a boon.

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NAN056: The Story of containerlab with Roman Dodin (Part 1)

Packet Pushers

Big risk, big reward: Thats the origin story of both containerlab and its maintainer, Roman Dodin. Roman tells Eric the story behind containerlab, a free software platform for building network labs and testing designs, as well as his own story of taking leaps into the unknown. This is the first episode of Network Automation Nerds. Read more » Big risk, big reward: Thats the origin story of both containerlab and its maintainer, Roman Dodin.

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Getting the BELT: Empowering Executive Leadership in Data Governance

TDAN

The expression “Getting the Belt” has several meanings. This phrase most commonly refers to a form of corporal punishment where a belt is used by an authority figure to spank or hit someone as a punitive measure. This form of discipline is now, thankfully, regarded as inappropriate and harmful.

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Best 25 Network Bandwidth Monitoring Tools of 2025 (Home, Free & Professionals)

Obkio

Take control of your network bandwidth with this comprehensive list of the best 25 network bandwidth monitoring tools of 2025 for home users & IT pros!

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Lessons on Cybersecurity from Formula E

CATO Networks

The ABB FIA Formula E World Championship is an exciting evolution of motorsports, having launched its first season of single-seater all-electric racing in 2014. The first-generation cars featured a humble 200kW of power but as technology has progressed, the current season Gen3 cars now have 350kW. Season 10 is currently in progress with 16 global races, many taking place on street circuits.

SASE 52
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Databricks SQL Year in Review (Part III): User Experience

databricks

This blog continues our series looking at advancements from 2023 to the serverless data warehouse Databricks SQL. The best data warehouse is.

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5 Best Practices for Data Management in the Cloud

TDAN

Organizations manage data in the cloud through strategic planning and the implementation of best practices tailored to their specific needs. This involves selecting the right cloud service providers and technology stacks that align with their data management goals.

Cloud 52
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Databricks Expands Brickbuilder Program to Include Unity Catalog Accelerators

databricks

Today, we're excited to announce the launch of Brickbuilder Unity Catalog Accelerators. This is an expansion to the Brickbuilder Accelerator program, which pairs.

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Explaining the Why Behind Data Quality Dimensions

TDAN

Data quality is measured across dimensions, but why? Data quality metrics exist to support the business. The value of a data quality program resides in the ability to take action to improve data to make it more correct and therefore more valuable.