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Meta introduces ‘Tulip,’ a binary serialization protocol supporting schema evolution. This simultaneously addresses protocol reliability and other issues and assists us with data schematization. Tulip has multiple legacy formats. Hence, it is used in Meta’s data platform and has seen a considerable increase in performance and efficiency. Meta’s data platform is made up of numerous heterogeneous services, such as warehouse data storage and various real-time systems exchanging large amounts of data and communicating among themselves via service APIs. As the number of AI and machine learning ML-related workloads in Meta’s system increase that use data for training these ML models, it is necessary to continually work on making our data logging systems efficient. The schematization of data plays a huge role in creating a platform for data at Meta’s scale. These systems are designed based on the knowledge that every decision and trade-off impacts reliability, data preprocessing efficiency, performance, and the engineer’s developer experience. Changing serialization formats for the data infrastructure is a big bet but offers benefits in the long run that make the platform evolve over time.

The Data Analytics Logging Library is present in the web tier and the internal services, and this is also responsible for logging analytical and operational data using Scribe-a durable message queuing system used by Meta. Data is read and ingested from Scribe, which also includes a data platform ingestion service and real-time processing systems. The data analytics reading library helps deserialize data and rehydrate it into a structured payload. Logging schemas are created, updated, and deleted every month by thousands of engineers at Meta, and these logging schema data flows in petabytes range each and every day over Scribe.

Schematization is necessary to ensure that any message logged in the past, present, or future, depending on the (de) serializer’s version, can be reliably (de)serialized at any time with the utmost fidelity and no data loss. Safe schema evolution via backward and forward compatibility is the name given to this characteristic. The article’s main focus lies on the on-wire serialization format used to encode the data that is finally processed by the data platform. Compared to the two serialization formats previously utilized, Hive Text Delimited and JSON serialization, the new encoding format is more efficient, requiring 40 to 85 percent fewer bytes and 50 to 90 percent fewer CPU cycles to (de)serialize data.

The 693-square-foot array is designed to provide 5G broadband connectivity directly with cellular devices via 3GPP standard frequencies.

Bluewalker 3 satellite, a test satellite by Texas-based firm AST SpaceMobile deployed its largest commercial communications array ever flow in space, in low Earth orbit, the company announced on Monday. The satellite was launched on a SpaceX Falcon 9 rocket in September, Interesting Engineering.


AST SpaceMobile.

The 693-square-foot (64 square meters) array is designed to directly provide 5G broadband connectivity with cellular devices via 3GPP standard frequencies. According to the release, the satellite could have a field of view of over 30,000 square miles on the surface of the Earth.

The employees past and present are calling it a Twitter “takeover.”

Elon Musk, in a move to wrap himself up in a blanket of his own financing, has bought ad space on Twitter. SpaceX bought the ads for Starlink, and they will play on top of the Twitter platform’s feed for one day in Spain and Australia.

In a tweet in reply to another Twitter account Musk said of the deal, “SpaceX Starlink bought a tiny — not large — ad package to test effectiveness of Twitter advertising in Australia & Spain. Did same for FB/Insta/Google,”


Getty Images.

The reporting is from sources at CNBC.

Successfully navigating the 5G transformation requires automation every step of the way—from network planning and preparation through implementation and monetization. 5G has made the consumers more empowered and demanding and this creates a need for CSPs to monetize beyond data bundles and introduce indirect monetization mechanisms. What CSPs must now do is look at investing in platforms that enable them to monetize innovative 5G business models.

CSPs have a huge opportunity to create new complex products and solutions for the B2B2C market assembled with the help of multiple partners. But this isn’t just a one-way opportunity. The biggest benefit of this model is the CSPs’ ability to participate in value chains and ecosystems that are orchestrated jointly with partners. CSPs will increasingly use partners to extend owned capabilities across product cocreation, marketing, sales, delivery, and customer support.

Moreover, CSPs need to evolve towards becoming service enablers and partner with businesses, developers, and other players across different domains and industries in order to create unique 5G service offerings to differentiate themselves in the market. To find success in the 5G era, they will need to maintain an ecosystem of partners that allow them to innovate and expand its reach across industry verticals. This will result in automated processes, the ability to launch any partner model, reduced time to market and reduced operational costs.

Staying ahead of the emerging trend of serverless software development, Alibaba Cloud is making its key cloud products serverless to enable customers to concentrate on product deployment and development without worrying about managing servers and infrastructure. Essentially, Alibaba Cloud’s updated products focus on turning computing power into an on-demand capability for users.

Examples of these are the cloud native database PolarDB, the cloud-native data warehouse AnalyticDB (ADB) and ApsaraDB for Relational Database Service (RDS). Leveraging Alibaba Cloud’s serverless technologies, customers can enjoy automatic scaling with extreme elasticity based on actual workloads and a pay-as-you-go billing model to reduce costs. The automatic elastic scaling time on demands can be as little as one second. The use of updated database products can help businesses in the internet industry reduce their costs by 50%, on average, compared to using traditional ones. Currently, Alibaba Cloud has more than 20 serverless key products in total and is adding more product categories to become serverless.

Alibaba Cloud also upgraded its ODPS (Open Data Platform and Services), a self-developed integrated data analytics and intelligent computing platform, to provide companies with diversified data processing and analytics services. The platform can handle both online and offline data simultaneously in one system, providing businesses dealing with complex workloads with analytics for business decision-making with reduced cost and increased efficiency.

Something strange has been happening lately. Lots of people are under the impression that images from the James Webb Space Telescope have somehow proven big bang cosmology wrong. This is very stupid and objectively wrong, but it has caused a confusion among even pro-science people, who have been asking me if there is any legitimacy to such claims. I decided a brief debunk was in order, to shine a spotlight on the fraud behind this frenzy, briefly explain why such a claim is so ridiculous, and link to other resources for further information. Enjoy!

Lerner’s dumb article: https://iai.tv/articles/the-big-bang-didnt-happen-auid-2215
Astrophysicist Ethan Siegel explains how Lerner is a crackpot: https://bigthink.com/starts-with-a-bang/has-jwst-disproven-big-bang/
Cosmologist Brian Keating debunks Lerner: https://www.youtube.com/watch?v=iPna7WUODuo.
Astronomer Ned Wright debunks Lerner: https://www.astro.ucla.edu/~wright/lerner_errors.html.
Real scientists use an entire appendix to debunk Lerner’s mistakes: https://iopscience.iop.org/article/10.1086/529134/pdf.

Wal Thornhill debunk: https://www.youtube.com/watch?v=KNTu_pqmq2E
Electric Universe debunk: https://www.youtube.com/watch?v=T9q-v4lBGuw.
SAFIRE debunk: https://www.youtube.com/watch?v=vmVdPgkudC8
Sky Scholar debunk: https://www.youtube.com/watch?v=Zi_mQ0sKOfo.
Suspicious0bservers debunk: https://www.youtube.com/watch?v=3fTLZTEE7mU

Watch my other debunks/debates/discussions: http://bit.ly/ProfDaveDebunk.

EMAIL► [email protected].
PATREON► http://patreon.com/ProfessorDaveExplains.

Check out “Is This Wi-Fi Organic?”, my book on disarming pseudoscience!

Photograph: Shutterstock

Elon Musk doesn’t follow the same standards that most entrepreneurs do. He’s different, he likes to be different!

And when you’re different, and you’re not afraid to be, it’s okay to test a cigar (or should I say ‘joint’?) of tobacco mixed with marijuana, on Joe Rogan’s famous podcast. But if you look closely, Elon was just nice (polite) and followed Rogan’s elaborate script. Before trying it, Musk even asked him if it was legal.

Then all those facial expressions of Musk, which photojournalists love to catch, go viral as if he’s there promoting some soft drug or passing abroad that his office at Tesla (or SpaceX) is enveloped in a large cloud of smoke.

Quite the opposite. The expressions themselves spoke for themselves, as if to say, “This is nothing special, Joe. Why do you waste my time with these scenes”? Musk even claimed that weed is not good for productivity at all, but it has nothing against (as I do, by the way).