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DBCloud Data Warehouse!
#database #oracle #sql #data #trending #2023reels #technology #learn #datawarehouse #clouddatawarehouse #tipsandtricks #student #dbwala #serviceprovider #pakistan
@db.wala
#Cloud Data Warehouse
Schauen Sie sich Reels-Videos über Cloud Data Warehouse von Menschen aus aller Welt an.
Anonym ansehen ohne Anmeldung.
Trending Reels
(12)
58.9K
NVWarehouses are complex ecosystems & optimizing their operations is a daunting task.
That’s why @kiongroup and @accenture are turning to Mega, an #NVIDIAOmniverse Blueprint that enables the testing, simulation and optimization of multi-agent robot fleets in a #DigitalTwin environment.
Watch the #CES2025 demo now. Link in bio.
@nvidiaomniverse
316.2K
FUThe complicated web of AI deals between OpenAI, NVIDIA, Oracle, and AMD, simply explained! Are we in a bubble or is this normal? #ai #artificialintelligence #nvidia #openai #oracle #amd #tech #aiexplained
@futurewithfawzi
2.2M
HIZero to Hero Episode 3
Data Engineering 📊
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{ placement, employment, layoff, unemployment, IT, news, engineering, technology, job, computer}
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#layoff #unemployment #employment #placement #IT #news #engineering #technology #job #computer
@hiten.codes
926.5K
AB#ledtvwarehouse #ledtvfactory #ledtv32inch #ledtvmarket #ledtvmarketindelhi
@abhi_market_vlogs
4.6M
CALevel up your skills for FREE! 🎯 Complete these 6 courses and earn certificates from Google, Microsoft, IBM & W3Schools without paying a single rupee. Start today and boost your career!
#FreeCourses #LearnOnline #SkillUp #CareerGrowth #GoogleAI #MicrosoftAI #PythonDeveloper #DataScience #MachineLearning #CyberSecurity #UpskillForFree #OnlineLearning #Certifications #CareerBoost
@careerwithriya
![#Cloud Data Warehouse Reel by @nataindata (verified account) - I'm on my way to get GCP certified ⭐️ so wanna share this with you:
[⏳ In previous series] We've discussed TOP AWS tools for Data Engineers. Now it's](https://image.pictame.com/img/491424406_1214134970046298_5115253175746647489_n.jpg?hash=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)
12.9K
NAI’m on my way to get GCP certified ⭐️ so wanna share this with you:
[⏳ In previous series] We’ve discussed TOP AWS tools for Data Engineers. Now it’s time for Top Google Cloud tools ☁️
SAVE IT! 🔒
1. Google BigQuery
BigQuery is a fully-managed, serverless cloud data warehouse by Google. It facilitates business decisions using data with a scalable, multi-cloud analytics platform. The highlight feature of Big Query is its in-built machine learning capabilities (! sick).
2. Google Cloud Storage
Cloud Storage is a service for storing your objects in Google Cloud. Hello, AWS S3. You can create Cloud Storage buckets, upload objects to your buckets, and download objects from your buckets.
3. Google Cloud Dataproc
Dataproc is a fully-managed and scalable Spark and Hadoop Service that supports batch processing, querying, streaming, and machine learning. You can use Dataproc for ETL and modernizing data lakes.
4. Google Cloud Composer
Cloud Composer - runs on Python and is based on the Apache Airflow open-source project. A fully-managed data workflow orchestration tool, lets you design, schedule, and keep track of pipelines across hybrid and multi-cloud systems.
5. Google Cloud Dataflow
Dataflow is a cloud-based unified data processing solution useful for batch and real-time data streaming. It allows to design processing pipelines for preparing, integrating, and analyzing huge data sets. For optimal resource usage, it supports horizontal auto-scaling of resources.
6. Looker
Looker is a cloud-based Business Intelligence (BI) tool that helps you explore, share, and visualize data that drive better business decisions. Looker it’s a part of the Google Cloud Platform. It allows anyone in your business to analyze and find insights into your datasets quickly.
There are tools like Dataprep, Data Fusion, Data Studio, but that’s in another series…
If you are reading this, I hope you are already following me 😉❤️
#gcp #cloudtechnology #aws #coding #programming #data #bigdata #programmers #tech #geek #sql #dataanalytics #datascientist #dataanalysis #datascience #softwaredeveloper #airflow #database
@nataindata
1.2M
DA چرا واردات قانونی☑️👇
💚با واردات قانونی کالاهای شما مستقیم از چین به ایران تحویل داده میشه .
💚با واردات به صورت قانونی کالاهای شما دارای برگ سبز هستند.
💚واردات قانونی هزینه بسیار کمتری دارند .
🤩🤩شما مابقی مزایای قانونی رو میدونید بهمون بگید ¿👇➡️➡️
#واردات_مستقیم_چین #قانونی_واردات_قانونی#بک_کاور#ترخیص_تخصصی #لنجداران🛳⛵🚣♂️⛵🛳⛵⛵⚓⚓⚓⚓#گلس
@datavaredat.company
1.4M
NAI need Followers 🥲
Feeling lost in the jungle of AI tools, frameworks, and APIs for mobile apps?
You’re not alone.
That’s why I mapped it all out—so you can see exactly how everything fits together:
🔹 Frontend: Flutter, React Native, Swift, Kotlin
🔹 On-Device AI: TensorFlow Lite, Core ML, ML Kit
🔹 Cloud Platforms: AWS, GCP, Firebase, Supabase
🔹 LLM / Generative AI APIs: Gemini, Hugging Face, OpenAI, Vertex AI, Bedrock
🔹 Databases: Firestore, Pinecone, ChromaDB, PostgreSQL
🔹 Agent Frameworks: LangChain, LlamaIndex, GenKit
🔹 APIs: Firebase Functions, FastAPI, Lambda, Amplify, Cloud Run
🔹 Memory / Storage: SQLite, Core Data
🔹 Distribution: App Store, Play Store
💡 Why this matters: Whether you’re just starting with Flutter or scaling a Firebase + AI app, this roadmap shows how the pieces connect: and how to ship smarter apps faster.
👇 Curious if I make a deep dive post on one part of this roadmap, which area should I cover first?
Follow @navokitech
#softwareengineer #mobileappdevelopment #peoplewhocode #100daysofcode #navoki
#careertips #mobiledev #mobiledevelopment #mobileappdevelopment #appdeveloper #careertips #programming #codinglife #thedevlife #programmerlife #programminglife #developerlife #girlswhocode #programmerslife💻
#generativeai #aicreator #learnai #roadmap
@navokitech
95.3K
CLPartner in... drinking cloud seven? #cloudseven #drinkeasyplayhard #hardseltzer
@cloudsevenidn
8.1K
_SA decade after the GA of our first product – the cloud data warehouse – and five years since our IPO, the mission hasn’t changed: Empower the world with data. From a vision to a foundational platform, we continue to push the boundaries of what’s possible. Watch us build the next decade of data. 🥂
@_snowflake_inc
1.1M
MAComment below what projects you are working on! #cybersecurity
@mar_antaya
✨ #Cloud Data Warehouse Entdeckungsleitfaden
Instagram hostet thousands of Beiträge unter #Cloud Data Warehouse und schafft damit eines der lebendigsten visuellen Ökosysteme der Plattform.
#Cloud Data Warehouse ist derzeit einer der beliebtesten Trends auf Instagram. Mit über thousands of Beiträgen in dieser Kategorie führen Creator wie @careerwithriya, @hiten.codes and @navokitech mit ihren viralen Inhalten. Durchsuchen Sie diese beliebten Videos anonym auf Pictame.
Was ist in #Cloud Data Warehouse im Trend? Die meistgesehenen Reels-Videos und viralen Inhalte sind oben zu sehen.
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🌟 Beliebte Creators: @careerwithriya, @hiten.codes, @navokitech und andere führen die Community
Häufige Fragen zu #Cloud Data Warehouse
Mit Pictame können Sie alle #Cloud Data Warehouse Reels und Videos durchsuchen, ohne sich bei Instagram anzumelden. Ihre Aktivität bleibt vollständig privat - keine Spuren, kein Konto erforderlich. Suchen Sie einfach nach dem Hashtag und entdecken Sie sofort trendige Inhalte.
Content Performance Insights
Analyse von 12 Reels
💡 Top-Posts erhalten durchschnittlich 2.4M Aufrufe (2.4x über Durchschnitt)
Regelmäßig 3-5x/Woche zu aktiven Zeiten posten
Content-Erstellung Tipps & Strategie
💡 Top-Content erhält über 10K Aufrufe - fokussieren Sie auf die ersten 3 Sekunden
✍️ Detaillierte Beschreibungen mit Story funktionieren gut - durchschnittliche Länge 471 Zeichen
📹 Hochwertige vertikale Videos (9:16) funktionieren am besten für #Cloud Data Warehouse - gute Beleuchtung und klaren Ton verwenden
✨ Viele verifizierte Creator sind aktiv (67%) - studieren Sie deren Content-Stil
Beliebte Suchen zu #Cloud Data Warehouse
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