#Data Efficiency
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Supercharge Your Data: Advanced Optimization and Maintenance for Delta Tables in Fabric
Dive into the final part of our series on optimizing data ingestion with Spark in Microsoft Fabric! Discover advanced optimization techniques and essential maintenance strategies for Delta tables to ensure high performance and efficiency in your data Ops
Welcome to the third and final installment of our blog series on optimizing data ingestion with Spark in Microsoft Fabric. In our previous posts, we explored the foundational elements of Microsoft Fabric and Delta Lake, delving into the differences between managed and external tables, as well as their practical applications. Now, it’s time to take your data management skills to the next…
#Advanced Techniques#Apache Spark#Big Data#Cloud Data Management#Data Compaction#Data Efficiency#Data Maintenance#Data management#Data Optimization#Data Performance#Data Retention#Data Scalability#Delta Lake#File Size Optimization#Handling Deletes#Merge Optimization#Microsoft Fabric#Optimize Write#Partition Pruning#Real-Time Data#Schema Evolution#Vacuum Command#Z-Ordering
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Efficiently Split Names in Excel: Using Text to Columns, Flash Fill, or Ctrl+E
Efficiently Split Names in Excel: Using Text to Columns, Flash Fill, or Ctrl+E
Do you struggle with splitting names in Excel? Are you tired of manually separating first and last names from a combined cell? Look no further! In this short tutorial video, we’ll teach you how to use two built-in Excel tools – Text to Columns and Flash Fill or Ctrl+E – to quickly and easily split names. We’ll guide you through the process step-by-step and provide helpful tips for handling more…
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#Advanced Excel Techniques#Automatic name extraction#Complex name structures#Ctrl+E#Data Analysis#Data efficiency#Data management#Data Manipulation#Database Management#Delimited Data#Excel Formulas#Excel name splitting#Excel Skills#First and last names#Flash Fill#Formatting Tools#Guide#How To#Microsoft Excel#Middle initials#Name Formatting#Name Parsing#Productivity#Quick and Easy#Shortcuts#Spreadsheet Optimization#Streamline Workflow#Streamlining#Text to Columns#Time-saving techniques
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sorry former gifted kids and burnt out perfectionists but: the only way to get better at something is to do it, and to repeatedly suck at it. failing. sometimes for years. until one day you step back and look at what has just been produced by your beautiful hands and beautiful brain (which are themselves the products of eons of failures-until-it worked) and think: wait a minute. this looks different. this feels different.
#failures are data points too.#Your brain is probably the most efficient pattern recognition computer on the planet#So let it work. Let it work.
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A WEBSITE!
I finally got my neocities website up and running!! Thanks to @gildedware for building the foundation!!!!
I'm currently filling the website with all my photos and whatnot for the *checks notes* 668 Pokemon I've crocheted! That's so MANY. I've got even more project-related stuff to do now yay!! And what's also great is that if Tumblr ever does go down, we can still track my progress and have everything documented on the website!! And I'll be able to add a lot of neat stuff to it in general!
I've still got a lot of work to do on it, but go check out what's up so far!!! dailypokemoncrochet.neocities.org !
#text#neocities#pokemon#crochet#dpc website side quest#i was so right to hire someone to build the layout#gildedware is the BEST FR!!!!!#now i get to do what's my favorite part: data entry!!!!#aaaaAAAAAAA#i keep learning random new things#like the way i am going about stuff is most definitely not the most efficient#but i'm getting more efficient as i go!!!
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Imagine: Rewind meets Optimus Prime at some point during the war and starts fanboying SUUUPER hard... NOT because that's fucking Optimus Prime or anything but because Orion Pax is a fucking LEGEND in the archivist community
#like who cares this guy has the matrix of leadership#he created the most efficient data storage algorithm since the golden age#he has the entire iaconian library memorized#he knows every change that's been made to the covenant of primus#thats why this guy is cool#transformers#maccadam#Optimus prime#rewind#orion pax
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Janeway/Seven in 6.08 “One Small Step”
#voyageredit#janeway x seven#j7#voyagereditmine#those lines kathryn said them with a silent 'darling'#'lets just say im encouraging you to volunteer,darling'#'you read my mind, darling'#but also thoughts when i made this set#clearly seven is annoyed with this mission which she doesnt it as important with that borg efficiency thinking of hers#janeway haters would say 'see thats janeway forcing seven doing smth she hate!!!!! molding seven to her own view'#yada yada yada u know the usual#seven is an ex borg drone yes but she is seven!!#when she made up her mind of not doing something#no one is able to force her do it if shes not willing#not even the captain#you think she is gonna just obediently do smth just because janeway order her to do so??? are we watching the same show lol??#how many times we've seen seven actively contradicts the captain lmao#in this ep is seven willing to get out of her comfort zone to do smth janeway suggests her to do#not bc janeway order or want her to do it#hence at the end seven realizes not all exploring is about gathering useful data for the sake of efficiency#its the episode i believe that made seven considers to join starfleet because of this mission
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Got distracted writing the article and didn't notice it was already well past 2am. Going to nicely put my computer away but the good news is, the article on Marc's track results (where does he perform best) should be ready to post tomorrow.
#stats lb#which can't be very exciting for everyone here because I already made a tumblr post about it#but this time everything is accurate and it has prettier tables and prettier charts#although it's just about wins / podiums / dnfs#gathering all his exact positions finishes would have taken forever but that might happen one day#(when I figure out a more efficient way to gather all the data)
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Long and personal post, im just being emotional about Star Trek, don’t mind me
Watching Star Trek made me and my Father’s relationship even better because not only can he share more of his interests with me but we use ST metaphors when having communication issues and it really helps.
Being Autistic myself, and my father being Autistic and ADHD, him being diagnosed with ADHD at 43 and still not a solid Autism diagnosis and me with my diagnosis in high school… well it’s difficult to connect sometimes because we have vastly different assumptions regarding human behavior.
As far back as I can remember, my father distanced himself from humanity, separated how others act and how he acts. He tried to instill the same mindset in me (now I know it was his way of coping/masking), the idea that we are separate. We think better, we are more intelligent than the average person, we understand the wider scene of things and moral applications more.
A week or so ago, when he was having one of his “my body is different than humans, I don’t need xyz emotionally” moments, I compared him to Spock. He paused, thought it out, and agreed with me.
Yesterday, he confided in me that he feels like ‘Spock, if Spock was born on Earth’ and I understood more of what my father has been going through than I have ever before.
#sorry it’s exactly 1:00 am right now im sappy in the middle of the night#star trek#star trek: tos#star trek the original series#spock#autism#if I had to pick an autism coded ST character for myself I would probably be cliche and go with data tbh#me and my father differ fundamentally in our feelings regarding emotions because he sees them as a complication to his tasks and efficiency#and I see emotions as this amazing experience that I don’t fully understand and thats why its so enticing#im super empathetic and overly expressive because i love Feeling#im not the best at it and I get it mixed up but its just#amazing yknow
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so umm why can't you just use pokemon home 😂
oh i use pokemon HOME, lol. the thing is that i use it so often that ive identified a bunch of problems with it that drive me nuts!!!
ive listed a bunch of my issues on here before, but a big one is: im currently trying to put ribbons on a bunch of my old favorite pokemon, but you can only see what ribbons a pokemon has from the mobile app version of HOME.
so to know who still needs what ribbons, i’d have to boot up the mobile version, check which pokemon have which ribbons, and write their names and what ribbons they’re missing down- so that when i close the mobile app and open the switch app (you cant have both open simultaneously), i can remember which guys i need to move where. now with the spreadsheet, i can filter by ‘Sentimental’ (my category for my favorite individual pokemon) and ‘Pokemon that dont have the Paldea Champion Ribbon’ and be presented with a list of who is missing that ribbon
but also, im collecting info about pokemon i still have in earlier games, because i kept having moments where i’d go ‘what happened to DODE, the Dodrio that my best friend caught when she was 8 years old and then traded to me when we were in middle school?’ and have to start booting up all of my different carts across multiple generations. so why not make a comprehensive directory that spans across all of my games, that i can update to show which game a pokemon currently resides in?
also i just love making elaborate spreadsheets and being able to sort and filter data- its fun for me to be able to see all of the different species i have in Moon balls, or tag pokemon that i received from friends with notes about what i remember, and not have to worry about those tags being lost if i ever move one of those pokemon from HOME to a game (this is how the tagging system included with HOME works lol. i tried to use it! i made a bunch of tags and dutifully tagged almost all the pokemon stored in my HOME, only to find out later that if i moved one to a game and then put it back later, all the tags would be Gone and id have to reapply them all. super irritating!!)
oh another reason i just remembered- i will never remember the hidden ability for every pokemon species, and HOME doesnt have any special indicator if a pokemons ability is its hidden one. on my spreadsheet, i added a column where i can check off a box if a pokemon has its HA, in addition to the column that lists the name of the ability.
#pokemon#there are problems with the spreadsheet dont get me wrong. also im definitely not doing this the best or most efficient way#but im having fun#i need a text post tag#asks#the worst thing about it is that i have to update it manually. so if i decide to trade away or release a pokemon i made an entry for#i have to remember to delete its entry#also it is taking me a long time to add all of the pokemon. i have one more gen 5 game to add pokemon from before i move on to gen 6…#but its slow going and its time that i could be spending doing something useful or enriching or creative#its like. adhd catnip. it FEELS like im accomplishing something#id probably love a job doing data entry
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Impact and innovation of AI in energy use with James Chalmers
New Post has been published on https://thedigitalinsider.com/impact-and-innovation-of-ai-in-energy-use-with-james-chalmers/
Impact and innovation of AI in energy use with James Chalmers
In the very first episode of our monhtly Explainable AI podcas, hosts Paul Anthony Claxton and Rohan Hall sat down with James Chalmers, Chief Revenue Officer of Novo Power, to discuss one of the most pressing issues in AI today: energy consumption and its environmental impact.
Together, they explored how AI’s rapid expansion is placing significant demands on global power infrastructures and what leaders in the tech industry are doing to address this.
The conversation covered various important topics, from the unique power demands of generative AI models to potential solutions like neuromorphic computing and waste heat recapture. If you’re interested in how AI shapes business and global energy policies, this episode is a must-listen.
Why this conversation matters for the future of AI
The rise of AI, especially generative models, isn’t just advancing technology; it’s consuming power at an unprecedented rate. Understanding these impacts is crucial for AI enthusiasts who want to see AI development continue sustainably and ethically.
As James explains, AI’s current reliance on massive datasets and intensive computational power has given it the fastest-growing energy footprint of any technology in history. For those working in AI, understanding how to manage these demands can be a significant asset in building future-forward solutions.
Main takeaways
AI’s power consumption problem: Generative AI models, which require vast amounts of energy for training and generation, consume ten times more power than traditional search engines.
Waste heat utilization: Nearly all power in data centers is lost as waste heat. Solutions like those at Novo Power are exploring how to recycle this energy.
Neuromorphic computing: This emerging technology, inspired by human neural networks, promises more energy-efficient AI processing.
Shift to responsible use: AI can help businesses address inefficiencies, but organizations need to integrate AI where it truly supports business goals rather than simply following trends.
Educational imperative: For AI to reach its potential without causing environmental strain, a broader understanding of its capabilities, impacts, and sustainable use is essential.
Meet James Chalmers
James Chalmers is a seasoned executive and strategist with extensive international experience guiding ventures through fundraising, product development, commercialization, and growth.
As the Founder and Managing Partner at BaseCamp, he has reshaped traditional engagement models between startups, service providers, and investors, emphasizing a unique approach to creating long-term value through differentiation.
Rather than merely enhancing existing processes, James champions transformative strategies that set companies apart, strongly emphasizing sustainable development.
Numerous accolades validate his work, including recognition from Forbes and Inc. Magazine as a leader of one of the Fastest-Growing and Most Innovative Companies, as well as B Corporation’s Best for The World and MedTech World’s Best Consultancy Services.
He’s also a LinkedIn ‘Top Voice’ on Product Development, Entrepreneurship, and Sustainable Development, reflecting his ability to drive substantial and sustainable growth through innovation and sound business fundamentals.
At BaseCamp, James applies his executive expertise to provide hands-on advisory services in fundraising, product development, commercialization, and executive strategy.
His commitment extends beyond addressing immediate business challenges; he prioritizes building competency and capacity within each startup he advises. Focused on sustainability, his work is dedicated to supporting companies that address one or more of the United Nations’ 17 Sustainable Development Goals through AI, DeepTech, or Platform Technologies.
About the hosts:
Paul Anthony Claxton – Q1 Velocity Venture Capital | LinkedIn
www.paulclaxton.io – am a Managing General Partner at Q1 Velocity Venture Capital… · Experience: Q1 Velocity Venture Capital · Education: Harvard Extension School · Location: Beverly Hills · 500+ connections on LinkedIn. View Paul Anthony Claxton’s profile on LinkedIn, a professional community of 1 billion members.
Rohan Hall – Code Genie AI | LinkedIn
Are you ready to transform your business using the power of AI? With over 30 years of… · Experience: Code Genie AI · Location: Los Angeles Metropolitan Area · 500+ connections on LinkedIn. View Rohan Hall’s profile on LinkedIn, a professional community of 1 billion members.
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#ai#AI development#AI models#approach#Artificial Intelligence#bank#basecamp#billion#Building#Business#business goals#code#Community#Companies#computing#content#data#Data Centers#datasets#development#education#Emerging Technology#energy#energy consumption#Energy-efficient AI#engines#Environmental#environmental impact#Explainable AI#extension
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Unlock Powerful Data Strategies: Master Managed and External Tables in Fabric Delta Lake
Are you ready to unlock powerful data strategies and take your data management skills to the next level? In our latest blog post, we dive deep into mastering managed and external tables in Delta Lake within Microsoft Fabric.
Welcome to our series on optimizing data ingestion with Spark in Microsoft Fabric. In our first post, we covered the capabilities of Microsoft Fabric and its integration with Delta Lake. In this second installment, we dive into mastering Managed and External tables. Choosing between managed and external tables is a crucial decision when working with Delta Lake in Microsoft Fabric. Each option…
#Apache Spark#Big Data#Cloud Data Management#Data Analytics#Data Best Practices#Data Efficiency#Data Governance#Data Ingestion#Data Insights#Data management#Data Optimization#Data Strategies#Data Workflows#Delta Lake#External Tables#Managed Tables#microsoft azure#Microsoft Fabric#Real-Time Data
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Excel Name Splitting Made Simple: Using Text to Columns and Flash Fill or Ctrl+E
Excel Name Splitting Made Simple: Using Text to Columns and Flash Fill or Ctrl+E
If you have a list of names in Excel that are combined into one cell, it can be frustrating and time-consuming to manually split them into first and last names. Fortunately, Excel offers two built-in tools that make this process quick and easy: Text to Columns and Flash Fill or Ctrl+E. In this tutorial video, we’ll show you step-by-step how to use Text to Columns to split names based on a…
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#Automatic name extraction#Complex name structures#Ctrl+E#Data efficiency#Data management#Excel name splitting#Excel Skills#First and last names#Flash Fill#Middle initials#Productivity#Text to Columns#Time-saving techniques#Titles
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Exploring the Growing $21.3 Billion Data Center Liquid Cooling Market: Trends and Opportunities
In an era marked by rapid digital expansion, data centers have become essential infrastructures supporting the growing demands for data processing and storage. However, these facilities face a significant challenge: maintaining optimal operating temperatures for their equipment. Traditional air-cooling methods are becoming increasingly inadequate as server densities rise and heat generation intensifies. Liquid cooling is emerging as a transformative solution that addresses these challenges and is set to redefine the cooling landscape for data centers.
What is Liquid Cooling?
Liquid cooling systems utilize liquids to transfer heat away from critical components within data centers. Unlike conventional air cooling, which relies on air to dissipate heat, liquid cooling is much more efficient. By circulating a cooling fluid—commonly water or specialized refrigerants—through heat exchangers and directly to the heat sources, data centers can maintain lower temperatures, improving overall performance.
Market Growth and Trends
The data centre liquid cooling market is on an impressive growth trajectory. According to industry analysis, this market is projected to grow USD 21.3 billion by 2030, achieving a remarkable compound annual growth rate (CAGR) of 27.6%. This upward trend is fueled by several key factors, including the increasing demand for high-performance computing (HPC), advancements in artificial intelligence (AI), and a growing emphasis on energy-efficient operations.
Key Factors Driving Adoption
1. Rising Heat Density
The trend toward higher power density in server configurations poses a significant challenge for cooling systems. With modern servers generating more heat than ever, traditional air cooling methods are struggling to keep pace. Liquid cooling effectively addresses this issue, enabling higher density server deployments without sacrificing efficiency.
2. Energy Efficiency Improvements
A standout advantage of liquid cooling systems is their energy efficiency. Studies indicate that these systems can reduce energy consumption by up to 50% compared to air cooling. This not only lowers operational costs for data center operators but also supports sustainability initiatives aimed at reducing energy consumption and carbon emissions.
3. Space Efficiency
Data center operators often grapple with limited space, making it crucial to optimize cooling solutions. Liquid cooling systems typically require less physical space than air-cooled alternatives. This efficiency allows operators to enhance server capacity and performance without the need for additional physical expansion.
4. Technological Innovations
The development of advanced cooling technologies, such as direct-to-chip cooling and immersion cooling, is further propelling the effectiveness of liquid cooling solutions. Direct-to-chip cooling channels coolant directly to the components generating heat, while immersion cooling involves submerging entire server racks in non-conductive liquids, both of which push thermal management to new heights.
Overcoming Challenges
While the benefits of liquid cooling are compelling, the transition to this technology presents certain challenges. Initial installation costs can be significant, and some operators may be hesitant due to concerns regarding complexity and ongoing maintenance. However, as liquid cooling technology advances and adoption rates increase, it is expected that costs will decrease, making it a more accessible option for a wider range of data center operators.
The Competitive Landscape
The data center liquid cooling market is home to several key players, including established companies like Schneider Electric, Vertiv, and Asetek, as well as innovative startups committed to developing cutting-edge thermal management solutions. These organizations are actively investing in research and development to refine the performance and reliability of liquid cooling systems, ensuring they meet the evolving needs of data center operators.
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The outlook for the data center liquid cooling market is promising. As organizations prioritize energy efficiency and sustainability in their operations, liquid cooling is likely to become a standard practice. The integration of AI and machine learning into cooling systems will further enhance performance, enabling dynamic adjustments based on real-time thermal demands.
The evolution of liquid cooling in data centers represents a crucial shift toward more efficient, sustainable, and high-performing computing environments. As the demand for advanced cooling solutions rises in response to technological advancements, liquid cooling is not merely an option—it is an essential element of the future data center landscape. By embracing this innovative approach, organizations can gain a significant competitive advantage in an increasingly digital world.
#Data Center#Liquid Cooling#Energy Efficiency#High-Performance Computing#Sustainability#Thermal Management#AI#Market Growth#Technology Innovation#Server Cooling#Data Center Infrastructure#Immersion Cooling#Direct-to-Chip Cooling#IT Solutions#Digital Transformation
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The thing about programming is that there's a level on which it feels like total wizard shit, like you're grappling with concepts directly on an abstract plane, splitting them apart and restructuring them into more elegant and fundamental forms, limited only by your own comprehension which you can practically feel expanding as you synthesize constructs and destroy them and remake them
But it is also, simultaneously, one hundred percent pedantic bullshit all the way down.
#this is a hilariously grandiose post to make given that the code I wrote today is absolutely cludgy bullshit#just the most gratuitous overbuilt data structure misuse possible#at least in the process of writing through it all I think I've conceptuallized a better way#So i might jump to writing that version. Rather than even trying to debug this clusterfuck into working order.#The problem is that I think dictionaries are a really cool data structure and they're easy to conceptualize#But they really are not efficient. And especially not if you're trying to cross-reference more than one of them.#This was also the problem with the one assignment in my coding class where I lost points on an inelegant solution#The grader was like 'why did you make a dictionary of dictionaries. That's absurdly inefficient and wastes so much memory'#and I was like. Well you see I thought it was neat conceptually.
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What if I actually made a friendship application form would that be too pathetic/cringe
#the autism is going yessss. forms and data to form friendship. efficiency#but the part of me that’s always masking is going man what the fuck just talk to people#sunny speaks
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also slowly but surely getting better with kaz & jin 👍
#jun I fully know by now tho I should look more into frame data (ough) to be more efficient with her#jin Im starting to get by just fine but his combo simply wont stick in my mind i have to refresh in practice everytime i pick him#kaz is good and fun to play but i will plan out wind god step training sessions bc its THE kaz fundamental and it doesnt right click yet#and after the fam I lowkey wanna try hwoarang. or I'll let you choose idk#tagging later
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