Focus on NANOGrav's 15yr Data Set and the Gravitational Wave Background
4 by wglb | 0 comments on Hacker News.
Tour de France: Vingegaard vs. Pogacar Is the Race to Watch
By Kevin Draper from NYT Sports https://ift.tt/XlQCi7w
Word of the Day: lucent
By The Learning Network from NYT The Learning Network https://ift.tt/jub15vK
Here is the latest on the fallout from the weekend of unrest in Russia.
By Victoria Kim from NYT World https://ift.tt/ydIL4xC
Germany says it will deploy 4000 soldiers permanently to Lithuania once facilities are ready.
By Steven Erlanger and Matthew Mpoke Bigg from NYT World https://ift.tt/iCJPpwG
Word of the Day: betrothal
By The Learning Network from NYT The Learning Network https://ift.tt/NF9jEQ0
Ahead of New York Pride Parade Worries About L.G.B.T.Q. Rights
By Liam Stack from NYT New York https://ift.tt/e9dBYSX
Whats happening in Russia? Heres what we know.
By Mike Ives from NYT World https://ift.tt/BTg3lZr
Wagner Chief Prigozhin Appears in Videos at a Russian Military Headquarters
By Dmitriy Khavin, Sarah Kerr, Riley Mellen and Muyi Xiao from NYT World https://ift.tt/4MZgD73
Canada Forces Google and Facebook to Pay News Outlets for Linking to Articles
By Mike Ives from NYT Business https://ift.tt/yWXfIQk
After Midnight at the N.B.A. Draft Dreams Still Come True
By Sopan Deb and Hiroko Masuike from NYT Sports https://ift.tt/sSGO4Ag
Crimea has become more of a target for attacks.
By BY CASSANDRA VINOGRAD from NYT World https://ift.tt/6WZHvT5
Wall Street Journal reporter is seeking to have espionage charges thrown out.
By BY VALERIE HOPKINS from NYT World https://ift.tt/DEVH6Gu
Why Is Narendra Modi SoPopular? Tune In to Find Out.
By BY MUJIB MASHAL from NYT World https://ift.tt/Cow6GEB
Why are undersea rescues so difficult?
By BY JOHN ISMAY from NYT U.S. https://ift.tt/WIlLdXB
Word of the Day: sabotage
By BY THE LEARNING NETWORK from NYT The Learning Network https://ift.tt/edS6j5s
Spelling Bee Forum
By BY NEW YORK TIMES GAMES from NYT Gameplay https://ift.tt/Tk3VWCz
Where Are the 2024 Candidates?
By BY ANJALI HUYNH from NYT U.S. https://ift.tt/frmDljW
Spelling Bee Forum
By BY NEW YORK TIMES GAMES from NYT Gameplay https://ift.tt/p52ai6L
A Word That Became a Point of Pride
By BY SARAH DIAMOND from NYT Times Insider https://ift.tt/lKAxbqp
Spelling Bee Forum
By BY NEW YORK TIMES GAMES from NYT Gameplay https://ift.tt/DXWI6pj
Pope Francis Leaves Rome Hospital After Surgery
By BY ELISABETTA POVOLEDO from NYT World https://ift.tt/hlvLW7J
Australias Opportunities and Challenges on the Path to Net Zero
By BY NATASHA FROST from NYT World https://ift.tt/MQaL9Rx
Word of the Day: chastise
By BY THE LEARNING NETWORK from NYT The Learning Network https://ift.tt/1qEQTza
Prosecutors Agree to Withdraw New Charges Against Sam Bankman-Fried
By BY DAVID YAFFE-BELLANY from NYT Business https://ift.tt/a7xuIM6
NATO defense chiefs are set to meet on Thursday as the alliance monitors Ukraines counteroffensive.
By BY ANUSHKA PATIL from NYT World https://ift.tt/Czlt1oS
Word of the Day: notorious
By BY THE LEARNING NETWORK from NYT The Learning Network https://ift.tt/USrQMnc
Word of the Day: ethics
By BY THE LEARNING NETWORK from NYT The Learning Network https://ift.tt/QYJuv3D
Spelling Bee Forum
By BY NEW YORK TIMES GAMES from NYT Gameplay https://ift.tt/SP0WNHl
Treat Williams, Actor Known for ‘Hair’ and ‘Everwood,’ Dies at 71
By BY MIKE IVES from NYT Arts https://ift.tt/bHYmfvs
His Home Sits Alongside America’s First Superfund Site. No One Told Him.
By BY JESSE MCKINLEY AND LAUREN PETRACCA from NYT New York https://ift.tt/CS43gok
Spelling Bee Forum
By BY NEW YORK TIMES GAMES from NYT Gameplay https://ift.tt/e0iGrul
New top story on Hacker News: Ask HN: Anyone at Reddit can confirm a traffic dip?
Ask HN: Anyone at Reddit can confirm a traffic dip?
28 by websap | 20 comments on Hacker News.
Looks like Reddit has gone dark. I logged out and deleted the apps. How are things internally?
28 by websap | 20 comments on Hacker News.
Looks like Reddit has gone dark. I logged out and deleted the apps. How are things internally?
Word of the Day: eponym
By BY THE LEARNING NETWORK from NYT The Learning Network https://ift.tt/Uucgn18
Spelling Bee Forum
By BY NEW YORK TIMES GAMES from NYT Gameplay https://ift.tt/L4V3o5H
Today’s Wordle Review
By BY ISAAC ARONOW from NYT Gameplay https://ift.tt/8qxWHgr
The Heat Say They Love Adversity. Did They Have to Make It This Hard?
By BY SCOTT CACCIOLA from NYT Sports https://ift.tt/jL8nD7G
By Unknown Author from NYT World https://ift.tt/Tpi7jZa
By Unknown Author from NYT World https://ift.tt/bsp5Eal
By Unknown Author from NYT World https://ift.tt/HuszLkp
And the Masks Came Back On: New York’s Day in Smoke
By BY JAMES BARRON from NYT New York https://ift.tt/abYoDPv
Word of the Day: forum
By BY THE LEARNING NETWORK from NYT The Learning Network https://ift.tt/BEXlqWA
Spelling Bee Forum
By BY NEW YORK TIMES GAMES from NYT Gameplay https://ift.tt/Um9pE6v
New top story on Hacker News: Show HN: Arroyo – Write SQL on streaming data
Show HN: Arroyo – Write SQL on streaming data
8 by necubi | 1 comments on Hacker News.
Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming program that constantly updates as new data comes in, providing low-latency results as soon as the data is available. I started the Arroyo project after spending the past five years building real-time platforms at Lyft and Splunk. I saw first hand how hard it is for users to build correct, reliable pipelines on top of existing systems like Flink and Spark Streaming, and how hard those pipelines are to operate for infra teams. I saw the need for a new system that would be easy enough for any data team to adopt, built on modern foundations and with the lessons of the past decade of research and industry development. Arroyo works by taking SQL queries and compiling them into an optimized streaming dataflow program, a distributed DAG of computation with nodes that read from sources (like Kafka), perform stateful computations, and eventually write results to sinks. That state is consistently snapshotted using a variation of the Chandy-Lamport checkpointing algorithm for fault-tolerance and to enable fast rescaling and updates of the pipelines. The entire system is easy to self-host on Kubernetes and Nomad. See it in action here: https://www.youtube.com/watch?v=X1Nv0gQy9TA or follow the getting started guide ( https://ift.tt/rAsH3BL ) to run it locally.
8 by necubi | 1 comments on Hacker News.
Hey HN, Arroyo is a modern, open-source stream processing engine, that lets anyone write complex queries on event streams just by writing SQL—windowing, aggregating, and joining events with sub-second latency. Today data processing typically happens in batch data warehouses like BigQuery and Snowflake despite the fact that most of the data is coming in as streams. Data teams have to build complex orchestration systems to handle late-arriving data and job failures while trying to minimize latency. Stream processing offers an alternative approach, where the query is compiled into a streaming program that constantly updates as new data comes in, providing low-latency results as soon as the data is available. I started the Arroyo project after spending the past five years building real-time platforms at Lyft and Splunk. I saw first hand how hard it is for users to build correct, reliable pipelines on top of existing systems like Flink and Spark Streaming, and how hard those pipelines are to operate for infra teams. I saw the need for a new system that would be easy enough for any data team to adopt, built on modern foundations and with the lessons of the past decade of research and industry development. Arroyo works by taking SQL queries and compiling them into an optimized streaming dataflow program, a distributed DAG of computation with nodes that read from sources (like Kafka), perform stateful computations, and eventually write results to sinks. That state is consistently snapshotted using a variation of the Chandy-Lamport checkpointing algorithm for fault-tolerance and to enable fast rescaling and updates of the pipelines. The entire system is easy to self-host on Kubernetes and Nomad. See it in action here: https://www.youtube.com/watch?v=X1Nv0gQy9TA or follow the getting started guide ( https://ift.tt/rAsH3BL ) to run it locally.
Word of the Day: veritable
By BY THE LEARNING NETWORK from NYT The Learning Network https://ift.tt/ucS9DJE
