76.0K
GKYouTube saves petabytes of data in CDN transfers everyday.
This is how.
#SystemDesign #YouTube #CDN
@gkcs__
#Data Control
Schauen Sie sich 4K Reels-Videos über Data Control von Menschen aus aller Welt an.
Anonym ansehen ohne Anmeldung.
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233.3K
TEHow to scale a database from 1 to 10000 queries per second
@techie007.dev
173.9K
JELet’s get DIRTY!! 😉 It’s gonna be 80% of your job!
Comment “clean” for my SQL skills cheat sheet, perfect for data projects and interview prep!
Save these 4 tips to handle messy datasets w/ ease 😮💨
• Clean strings: remove extra spaces, weird quotes, and fix casing
• Fix dates: standardize formats and remove stray characters
• Recode variables: turn “CA”, “California”, and “calif” into one consistent value
• Handle NULLs: don’t let missing data mess with your analysis
#data #datacleaning #sql
🏷️ data, data cleaning, sql, data analytics, data science
@jessramosdata
33.3K
DAIn my first years as a data scientist, I wasted hours on broken SQL, slow pandas scripts, messy Flask deployments, and “works on my machine” chaos.
These 4 tools fixed that:
• dbt → modular, documented SQL transformations
• Polars → faster, cleaner alternative to pandas
• FastAPI → quick, reliable model deployment
• Docker → consistent environments, no more deployment nightmares
If you’re just starting out, learning these early will save you months of frustration.
@data_pumpkin
20.5K
ASBuild a data cleaning & reporting workflow in ✌🏽 minutes (without code!) #KNIMECollab
In this example, I’m using KNIME to build a very simple data cleaning & reporting workflow.
This is the most common framework I’ve used for reports:
1. Extract data
2. Clean / transform the data
3. Load data
I just started using KNIME recently, and it is so powerful and versatile. It’s designed for Data Analysts & Data Scientists in mind, and they’re already integrated with many different data tools, like Excel and SQL databases.
Plus, when you get KNIME Pro, you can schedule the workflows you build. No need to keep running the same processes manually!
If you are in one of those roles, I highly recommend that you check it out!
#datascience #dataanalytics #automations
@askdatadawn
16.6K
CY🚨 TL;DR: Deleting an account doesn’t erase your data - and retained data can be reused, breached, subpoenaed, or misused years later.
👉🏽 Comment “DELETE” and I’ll DM you a FREE GUIDE with steps to ask companies to purge your data after you delete your account with them.
🔥 Follow @cyberwithru for daily cybersecurity and data privacy tips
👉🏽 WHY DATA RETENTION IS ACTUALLY DANGEROUS:
When companies keep your data after deletion, it can still be used to:
• profile you for ads or risk scoring
• be exposed in a future data breach
• be handed over in legal or government requests
• be reused internally in analytics or AI training
• resurface if accounts or databases are restored
Even if you forgot about the data- the apps don't.
⚠️ THIS IS SPECIALLY RISKY AT WORK:
Many people don’t realize this, but unapproved third-party tools used at work are a huge risk.
If you upload documents, customer or internal data to tools that aren’t company-approved, that data can be retained for years, used to train models, live in backups indefinitely and even stay accessible even after you stop using the tool.
❗️Some tools do NOT even auto-purge data unless you explicitly request deletion. This is how sensitive work data leaks long after the mistake happened.
💡 HOW TO PROTECT YOURSELF:
1️⃣ Manually Delete data BEFORE deleting account- Remove posts, files, messages, uploads manually
2️⃣ Look for “data retention” language- Privacy policies often say how long data is kept
3️⃣ Submit a formal data deletion request to the company via email, Not just account deletion.
4️⃣ Never upload work data to unapproved tools, specially AI tools, converters, uploaders, or “free” services.
👉🏽 Comment “DELETE” and I’ll DM you a FREE GUIDE with steps to ask companies to purge your data after you delete your account.
data retention risks, delete account, cybersecurity awareness, workplace security, data privacy tips, third party tools risk, digital footprint, personal data protection, information security
#dataprivacy #cybersecurity #infosec #onlinesafety #workplacesecurity digitalfootprint privacytips cyberwithru
@cyberwithru
873
MAAula Prática DataControl 💙
_ Vem pra @datacontrolsaocristovao
.
Matricule-se já 💙
📍DataControl São Cristóvão- Shopping Marajó
#datacontrol #cursos #cursoprofissionalizante #cursoemsaoluis #informaticabasica #informatica #operadordecaixa #cursoavançado #cursocompleto #internet #marajo #shopping #marajoshopping #maranhão #ilhacity #ma #slz #ribamar #sjr #raposa
@marajoshopping
290.0K
DA1. Look at the big picture.
2. Get the data.
3. Explore and visualize the data to gain insights.
4. Prepare the data for machine learning algorithms.
5,. Select a model and train it.
6. Fine-tune your model.
7. Present your solution.
8. Launch, monitor, and maintain your systen.
The Unbelievable Perks Exclusive Instagram Subscribers🔻
➡️ Resume review & ATS Editable Resume Template
➡️ Priority replys
➡️ Exclusive QA
➡️ Job Postings
➡️ MIT + Stanford notes
➡️ Data Science Masterclass PDF Notes
⭐️ And many more just for Rs.45/month
#datascience #machinelearning #python #ai #dataanalytics #artificialintelligence #deeplearning #bigdata #agenticai #aiagents #statistics #dataanalysis #datavisualization #analytics #datascientist #neuralnetworks #100daysofcode #genai #llms #datasciencebootcamp
@datasciencebrain
1.5M
VOComment "Link" to get the links!
You Will Never Struggle With Data Structures & Algorithms Again
🔗 Explore these free visualization tools:
1️⃣ visualgo.net
2️⃣ cs.usfca.edu
3️⃣ csvistool.com
Stop memorizing code blindly. See every algorithm in action — arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and more. These interactive platforms show step-by-step exactly how data flows and how operations work.
Whether you’re preparing for coding interviews, studying computer science, or just starting with DSA, this is the fastest way to master the fundamentals.
Save this, share it, and turn complex algorithms into simple visuals you’ll never forget.
@volkan.js
650.0K
COUnderstanding basic networking commands helps you troubleshoot connectivity issues, monitor network activity, and manage system configurations efficiently. These commands are powerful tools for system administrators, developers, and tech enthusiasts working in windows environments.
💻 From checking IP configurations to tracing network routes and managing services, mastering these commands can significantly improve your troubleshooting speed and technical confidence.
🛠️ Whether you are working in IT support, cybersecurity, cloud computing, or system administration, these commands are fundamental for daily operations.
📌 Save this guide for quick reference and level up your networking skills.
windows networking, command prompt, network troubleshooting, ip configuration, dns management, network monitoring, system administration, it support tools, windows commands, network diagnostics
#windows #networking #it #cybersecurity #sysadmin
@codewithprashantt
3.2M
JAYou probably Googled “How to learn Data Analytics”…
And got 100 tabs open.
Courses, tools, bootcamps, blogs, YouTube videos,
each saying “Start here.”
But no one told you what not to do.
No one gave you a starter kit that actually made sense.
So I built.
And now I use this same plan to guide beginners I mentor.
Here’s the Data Analytics Starter Kit I wish everyone should have👇
1. Start with Excel
→ It’s not outdated, it’s underrated.
→ Master formulas, Pivot Tables, and charts.
2. Then SQL
→ Learn how to query real data.
→ SELECT, WHERE, GROUP BY, and JOIN. That’s 80% of your job.
3. Add one viz tool
→ Pick Tableau or Power BI.
→ Focus on storytelling, not fancy dashboards.
4. Forget 100-hour courses
Instead, build 3 small projects:
⤷ A Sales Dashboard in Excel
⤷ A Customer Retention Report in SQL
⤷ A Visual Story in Tableau
5. Use GitHub + LinkedIn
→ Document your projects.
→ Share your process.
→ Visibility builds credibility.
6. Give it 6–8 weeks
Learn 1 skill → Apply it → Move to the next.
If you're just starting out, don't chase 10 tools.
Build your foundation first.
Want my full Data Analytics Starter Kit with a roadmap, tool list, and project ideas?
Drop "Community" to join my community here.
#datavisualization #dataanalyst #datascience #data #sql #excel #python #career #careerswitch #trending #learning #interviewtips #india #metricminds
@jayenthakker
29.3K
AAI started data science and immediately installed the wrong thing.
Here’s what nobody tells you — there are TWO options, not one.
Anaconda vs Miniconda:
Anaconda → 250+ libraries pre-installed. NumPy, Pandas, Jupyter — everything ready. (~3 GB)
Miniconda → Just Python + conda. You install what you need. (~400 MB)
The easiest way to think about it:
Anaconda = a fully stocked kitchen.
Miniconda = an empty kitchen — you buy only what each dish needs.
Which one should YOU install?
Just starting out → Anaconda. Zero setup friction.
More experienced → Miniconda. Full control.
I chose Anaconda. I’m learning from scratch — I wanted to focus on learning, not debugging setup.
Day 4 of documenting my data science journey. What did you install when you started?
#Anaconda
#Miniconda
#DataScience
#LearnDataScience
#Python
DataScienceBeginners
aartii_py
WomenInTech
TechReels
@aartii.py
✨ #Data Control Entdeckungsleitfaden
Instagram hostet 4K Beiträge unter #Data Control und schafft damit eines der lebendigsten visuellen Ökosysteme der Plattform.
Entdecken Sie die neuesten #Data Control Inhalte ohne Anmeldung. Die beeindruckendsten Reels unter diesem Tag, besonders von @jayenthakker, @volkan.js and @codewithprashantt, erhalten massive Aufmerksamkeit.
Was ist in #Data Control im Trend? Die meistgesehenen Reels-Videos und viralen Inhalte sind oben zu sehen.
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Häufige Fragen zu #Data Control
Mit Pictame können Sie alle #Data Control Reels und Videos durchsuchen, ohne sich bei Instagram anzumelden. Kein Konto erforderlich und Ihre Aktivität bleibt privat.
Content Performance Insights
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💡 Top-Posts erhalten durchschnittlich 1.4M Aufrufe (2.7x über Durchschnitt)
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Content-Erstellung Tipps & Strategie
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📹 Hochwertige vertikale Videos (9:16) funktionieren am besten für #Data Control - gute Beleuchtung und klaren Ton verwenden
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✨ Viele verifizierte Creator sind aktiv (50%) - studieren Sie deren Content-Stil
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