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AWS just made S3 accessible as a file system. This is a big deal for data engineers. Let me explain.The problem was simple but annoying.Your data sits in S3. But file-based tools can't read from S3 directly.So what did teams do?→ Copy data from S3 to a file system (or read it)→ Run the tool→ Copy results back to S3Duplicate data. Extra cost. Sync pipelines. Constant headaches.S3 Files fixes this.It makes your S3 bucket behave like a regular file system. No copying. No duplication. No syncing.You

x.comDarshil | Data Engineer👨🏻‍🔧

AWS just made S3 accessible as a file system. This is a big deal for data engineers. Let me explain.The problem was simple but annoying.Your data sits in S3. But file-based tools

Darshil | Data Engineer👨🏻‍🔧 (@parmardarshil07). 54 likes 3 replies. AWS just made S3 accessible as a file system. This is a big deal for data engineers. Let me explain.The problem was simple but annoying.Your data sits in S3. But file-based tools can't read from S3 directly.So what did teams do?→ Copy data from S3 to a file system ...

1.3M views2 months ago

Welcome to @ucufedt Our new students were warmly received at the Freshers Orientation, where they gained essential insights on academic policies, exam regulations, and student support services. Here's to an exciting journey of learning and growth!

Welcome to @ucufedt Our new students were warmly received at the Freshers

5-22-26 The Real Case For The AI Boom: The Math Is Starting To Add UpThere is a lot of talk about the AI boom, but the real bull case may come down to simple economic math.$AMZN, $GOOGL, $META and $MSFT are projected to spend roughly $700 billion on AI data centers in 2026 alone. Most people focus only on chips and companies like $NVDA, but the spending goes far beyond semiconductors.These firms are building massive physical infrastructure projects: power systems, utilities, fiber optics, networ

5-22-26 The Real Case For The AI Boom: The Math Is Starting To Add UpThere is

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We uncovered something far bigger than I ever expected. After seeing coordinated false attacks against the Utah data center project, we brought in an advanced data science team to trace where the content was coming from and the results were shocking. What we found led back to organized networks, political activist groups, and funding trails tied to massive international entities. We dug through IRS 990 filings, tracked IP data from around the world, and uncovered what appears to be a coordinated

We uncovered something far bigger than I ever expected. After seeing coordinated false attacks against the Utah data center project, we brought in an advanced data science team to trace where the content was coming from and the results were shocking. What we found led back to organized networks, political activist groups, and funding trails tied to massive international entities. We dug through IRS 990 filings, tracked IP data from around the world, and uncovered what appears to be a coordinated

x.comKevin O'Leary aka Mr.

2.7M views3 weeks ago

Synthetic data was the consensus answer but Meta might have just admitted the consensus was wrong.For the last 2 years, the standard reply to "we are running out of training data" has been: generate more. Self-instruct. Bootstrap. Distill. Use a teacher model to write a student curriculum. Use a strong model to label a weaker model's mistakes. The Phi family, the RedPajama line, the synthetic-instruction papers, all real research, all useful, all assumed to be the future of the data layer.The fr

Synthetic data was the consensus answer but Meta might have just admitted the consensus was wrong.For the last 2 years, the standard reply to "we are running out of training data" has been: generate more. Self-instruct. Bootstrap. Distill. Use a teacher model to write a student curriculum. Use a strong model to label a weaker model's mistakes. The Phi family, the RedPajama line, the synthetic-instruction papers, all real research, all useful, all assumed to be the future of the data layer.The fr

793.5K views3 weeks ago

You’re seeing this for a reason…#Binance is hiring380+ open roles across BD, Comms, Data, Engineering & moreApply here → https://t.co/TEcKL9qsvF

You’re seeing this for a reason…#Binance is hiring380+ open roles across BD, Comms, Data, Engineering & moreApply here → https://t.co/TEcKL9qsvF

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We uncovered something far bigger than I ever expected. After seeing coordinated false attacks against the Utah data center project, we brought in an advanced data science team to trace where the content was coming from and the results were shocking. What we found led back to organized networks, political activist groups, and funding trails tied to massive international entities. We dug through IRS 990 filings, tracked IP data from around the world, and uncovered what appears to be a coordinated

We uncovered something far bigger than I ever expected. After seeing coordinated false attacks against the Utah data center project, we brought in an advanced data science team to trace where the content was coming from and the results were shocking. What we found led back to organized networks, political activist groups, and funding trails tied to massive international entities. We dug through IRS 990 filings, tracked IP data from around the world, and uncovered what appears to be a coordinated

2.7M views3 weeks ago

x.comKevin O'Leary aka Mr. Wonderful

Synthetic data was the consensus answer but Meta might have just admitted the consensus was wrong.For the last 2 years, the standard reply to "we are running out of training data" has been: generate more. Self-instruct. Bootstrap. Distill. Use a teacher model to write a student curriculum. Use a strong model to label a weaker model's mistakes. The Phi family, the RedPajama line, the synthetic-instruction papers, all real research, all useful, all assumed to be the future of the data layer.The fr

Synthetic data was the consensus answer but Meta might have just admitted the consensus was wrong.For the last 2 years, the standard reply to "we are running out of training data" has been: generate more. Self-instruct. Bootstrap. Distill. Use a teacher model to write a student curriculum. Use a strong model to label a weaker model's mistakes. The Phi family, the RedPajama line, the synthetic-instruction papers, all real research, all useful, all assumed to be the future of the data layer.The fr

793.5K views3 weeks ago

You’re seeing this for a reason…#Binance is hiring380+ open roles across BD, Comms, Data, Engineering & moreApply here → https://t.co/TEcKL9qsvF

You’re seeing this for a reason…#Binance is hiring380+ open roles across BD, Comms, Data, Engineering & moreApply here → https://t.co/TEcKL9qsvF

260.4K views1 month ago

Welcome to @ucufedt Our new students were warmly received at the Freshers Orientation, where they gained essential insights on academic policies, exam regulations, and student support services. Here's to an exciting journey of learning and growth!

Welcome to @ucufedt Our new students were warmly received at the Freshers Orientation, where they gained essential insights on academic policies, exam regulations, and student support services. Here's to an exciting journey of learning and growth!

1.1K views2 weeks ago

x.comUCU Computing, Engineering, Data Science, R…

5-22-26 The Real Case For The AI Boom: The Math Is Starting To Add UpThere is a lot of talk about the AI boom, but the real bull case may come down to simple economic math.$AMZN, $GOOGL, $META and $MSFT are projected to spend roughly $700 billion on AI data centers in 2026 alone. Most people focus only on chips and companies like $NVDA, but the spending goes far beyond semiconductors.These firms are building massive physical infrastructure projects: power systems, utilities, fiber optics, networ

5-22-26 The Real Case For The AI Boom: The Math Is Starting To Add UpThere is a lot of talk about the AI boom, but the real bull case may come down to simple economic math.$AMZN, $GOOGL, $META and $MSFT are projected to spend roughly $700 billion on AI data centers in 2026 alone. Most people focus only on chips and companies like $NVDA, but the spending goes far beyond semiconductors.These firms are building massive physical infrastructure projects: power systems, utilities, fiber optics, networ

10.4K views3 weeks ago

x.comLance Roberts

Microsoft canceling its internal Claude Code licenses this week likely has almost nothing to do with AI costs becoming untenable.Microsoft's own statement says Claude models remain accessible through Copilot CLI and Anthropic's Claude still runs inside Microsoft 365.The real story is that Microsoft's own product (GitHub Copilot) was being embarrassed by a competitor internally this is a platform strategy play, not a cost crisis call.And the post assumes token prices are rising and unsustainable

Microsoft canceling its internal Claude Code licenses this week likely has almost nothing to do with AI costs becoming untenable.Microsoft's own statement says Claude models remain accessible through Copilot CLI and Anthropic's Claude still runs inside Microsoft 365.The real story is that Microsoft's own product (GitHub Copilot) was being embarrassed by a competitor internally this is a platform strategy play, not a cost crisis call.And the post assumes token prices are rising and unsustainable

250.9K views3 weeks ago

x.comMilk Road AI

There’s been an enormous amount of misinformation surrounding our Utah data center project. Claims that we’re going to consume all of Utah’s electricity, drain the Great Salt Lake, or immediately build the world’s largest facility simply aren’t true. The reality is we’re building the project in phases, starting with a standard sized 1.5 gigawatt facility powered entirely by our own generation infrastructure not Utah’s grid. In fact, the goal is to eventually contribute power back into the local

There’s been an enormous amount of misinformation surrounding our Utah data center project. Claims that we’re going to consume all of Utah’s electricity, drain the Great Salt Lake, or immediately build the world’s largest facility simply aren’t true. The reality is we’re building the project in phases, starting with a standard sized 1.5 gigawatt facility powered entirely by our own generation infrastructure not Utah’s grid. In fact, the goal is to eventually contribute power back into the local

190.4K views2 weeks ago

x.comKevin O'Leary aka Mr. Wonderful

Banking and development economist Richard Werner says the real reason we are seeing so many Data Centers being put up so quickly is because they are building the surveillance and digital currency network right now“We are so close to the scariest, most dystopian system. This is what the drive to build all these thousands of data centers is about, to micromanage the world's population through the New Financial World Order. AI is really about that. We're heading towards digital control systems wher

250.2K views3 weeks ago

x.comWall Street Apes

Then why are we building 4500 data centers and destroying our nation‘s water table

2M views3 weeks ago

x.comMatt Maher

Utah approved a data center so massive it's going to be more than twice the size of ManhattanIt’s called The Stratus Project, it’s a AI data center campus in Box Elder County- The full project could cover over 40,000 acres, an area bigger than Manhattan- Total size will be around 62 square miles- The power demand is 3 gigawatts of electricity, roughly the output of multiple nuclear reactors- Environmental groups warn it could raise Utah's planet-heating pollution by nearly 50%- Estimates suggest

142.6K views3 weeks ago

x.comWall Street Apes

🇺🇸 Elon is turning the dream of AI data centers in space into reality.@SpaceX is planning a massive new solar manufacturing facility near Austin capable of producing 10 GW of solar panels, an absolutely insane scale built specifically to power orbital AI supercomputers.They’re manufacturing the sun-powered infrastructure needed to run AI at galactic scale.This is next-level vertical integration. Rockets, chips, solar, and space data centers.Source: Bloomberg, @elonmusk

136.6K views3 weeks ago

x.comMario Nawfal

Do you live under a rock or is this just gaslighting? “Why is there suddenly such an aggressive push against American data centers and AI infrastructure” Uhh well Kevin, maybe it’s because people are literally being forced out of their homes in states like Georgia to build these data centers and residents that live near these areas cannot afford their utility bills because of the energy consumption from data centers. That’s just the tip of the iceberg, along with the millions of gallons of water

1.3M views1 month ago

x.comJordan Chain

Data centers are needed to store, process, and deliver the digital information and services that modern life depends on. They are extremely useful, and we should build more useful things.

11.7M views1 month ago

x.comWilliam Meservy

New data shows once an Indian CEO gets hired at a major company, what follows is Americans getting pushed out of their jobs and replaced by IndiansMajor Companies with an Indian CEO:- Google - Sundar Pichai - Indian- Microsoft - Satya Nadella - Indian- YouTube - Neal Mohan - Indian- Adobe - Shantanu Narayen - Indian- IBM - Arvind Krishna - Indian- Infosys - Salil Parekh Indian- NetApp - George Kurian - Indian- Arista Networks - Jayshree Ullal - Indian- Novartis - Vasant Narasimhan - Indian- Micr

907.7K views3 weeks ago

x.comWall Street Apes

🇺🇸🇨🇳 The U.S. has 4,000 data centers, while China has 365.But 24 months ago, AI training required 100 megawatts. Today the minimum is 1 gigawatt.The U.S., Canadian, and Mexican grids can't deliver that. China's can.The AI race was never about who built more, but who built bigger, and right now, America's own power grid is the bottleneck.

662K views1 month ago

x.comMario Nawfal

RT @WallStreetApes: New data shows once an Indian CEO gets hired at a major company, what follows is Americans getting pushed out of their…

906.5K views3 weeks ago

x.comWall Street Apes

𝗣𝗮𝗴𝗲 𝟭 𝗼𝗳 𝘁𝗵𝗲 𝗔𝘁𝗵𝗹𝗲𝘁𝗲𝗫 𝗖𝗮𝗿𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗶𝘀 𝘁𝗮𝗸𝗶𝗻𝗴 𝘀𝗵𝗮𝗽𝗲.3,323 injuries.€6.33M in expenses.52.4 average recovery days.But the numbers aren’t the point.This is what happens when a cohort moves past“how do I build this?”and starts thinking“what should this do?”→ KPI cards built with HTML visuals→ Blink notifications that flag critical values→ Cards that flip to reveal deeper contextThis isn’t a report.It responds.It guides.It makes decisions easier.That shi

2.6K views2 months ago

x.comNte Daniel || Data Analyst → Engineer

Most people learn data engineering the hard way…by drowning in jargon they’ve never heard before.But here’s the truth no one tells you:Data engineering isn’t hard because of the tools,it’s hard because of the terminology.Once you understand the words,you finally understand the systems.And once you understand the systems,everything else becomes 10× easier.Here’s a quick breakdown of what you’re learning:1. ETL vs ELT — Know the difference.ETL transforms before loading.ELT loads first, transforms

3.2K views3 months ago

x.comShalini Goyal

As a Data Engineer at CIA, you'll transform data into action, building scalable pipelines that deliver high-priority datasets to advance our Nation's intelligence mission.Learn more at https://t.co/havFrmiaj9.

109K views3 months ago

See more

Short videos

AWS just made S3 accessible as a file system. This is a big deal for data engineers. Let

1.3M views2 months ago

x.comDarshil | Data Engineer👨🏻‍🔧

We uncovered something far bigger than I ever expected. After seeing coordinated false

2.7M views3 weeks ago

x.comKevin O'Leary aka Mr.

Synthetic data was the consensus answer but Meta might have just admitted the

793.5K views3 weeks ago

You’re seeing this for a reason…#Binance is hiring380+ open roles across

260.4K views1 month ago

Welcome to @ucufedt Our new students were warmly received at the Freshers Orientation,

1.1K views2 weeks ago

x.comUCU Computing, Engineering,

5-22-26 The Real Case For The AI Boom: The Math Is Starting To Add UpThere is a

10.4K views3 weeks ago

x.comLance Roberts

Microsoft canceling its internal Claude Code licenses this week likely has almost nothing

250.9K views3 weeks ago

x.comMilk Road AI

There’s been an enormous amount of misinformation surrounding our Utah data

190.4K views2 weeks ago

x.comKevin O'Leary aka Mr.

Banking and development economist Richard Werner says the real reason we are

250.2K views3 weeks ago

x.comWall Street Apes

Then why are we building 4500 data centers and destroying our nation‘s water table

2M views3 weeks ago

x.comMatt Maher

Utah approved a data center so massive it's going to be more than twice the size of

142.6K views3 weeks ago

x.comWall Street Apes

🇺🇸 Elon is turning the dream of AI data centers in space into reality.@SpaceX is planning a

136.6K views3 weeks ago

x.comMario Nawfal

Do you live under a rock or is this just gaslighting? “Why is there suddenly such an

1.3M views1 month ago

x.comJordan Chain

Data centers are needed to store, process, and deliver the digital information and services

11.7M views1 month ago

x.comWilliam Meservy

New data shows once an Indian CEO gets hired at a major company, what follows

907.7K views3 weeks ago

x.comWall Street Apes

🇺🇸🇨🇳 The U.S. has 4,000 data centers, while China has 365.But 24 months ago, AI

662K views1 month ago

x.comMario Nawfal

RT @WallStreetApes: New data shows once an Indian CEO gets hired at a major

906.5K views3 weeks ago

x.comWall Street Apes

𝗣𝗮𝗴𝗲 𝟭 𝗼𝗳 𝘁𝗵𝗲 𝗔𝘁𝗵𝗹𝗲𝘁𝗲𝗫 𝗖𝗮𝗿𝗲 𝗱𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱 𝗶𝘀 𝘁𝗮𝗸𝗶𝗻𝗴 𝘀𝗵𝗮𝗽𝗲.3,323 injuries.€6.33M in expenses.52.4 average recovery days.But the

2.6K views2 months ago

x.comNte Daniel || Data Analyst →

Most people learn data engineering the hard way…by drowning in jargon they’ve

3.2K views3 months ago

x.comShalini Goyal

As a Data Engineer at CIA, you'll transform data into action, building scalable

109K views3 months ago