48
DBCloud Data Warehouse!
#database #oracle #sql #data #trending #2023reels #technology #learn #datawarehouse #clouddatawarehouse #tipsandtricks #student #dbwala #serviceprovider #pakistan
@db.wala
#Cloud Data Warehouse
世界中の人々によるCloud Data Warehouseに関する件のリール動画を視聴。
ログインせずに匿名で視聴。
トレンドリール
(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発見ガイド
Instagramには#Cloud Data Warehouseの下にthousands of件の投稿があり、プラットフォームで最も活気のあるビジュアルエコシステムの1つを作り出しています。
#Cloud Data Warehouseは現在、Instagram で最も注目を集めているトレンドの1つです。このカテゴリーにはthousands of以上の投稿があり、@careerwithriya, @hiten.codes and @navokitechのようなクリエイターがバイラルコンテンツでリードしています。Pictameでこれらの人気動画を匿名で閲覧できます。
#Cloud Data Warehouseで何がトレンドですか？最も視聴されたReels動画とバイラルコンテンツが上部に掲載されています。
人気カテゴリー
📹 ビデオトレンド: 最新のReelsとバイラル動画を発見
📈 ハッシュタグ戦略: コンテンツのトレンドハッシュタグオプションを探索
🌟 注目のクリエイター: @careerwithriya, @hiten.codes, @navokitechなどがコミュニティをリード
#Cloud Data Warehouseについてのよくある質問
Pictameを使用すれば、Instagramにログインせずに#Cloud Data Warehouseのすべてのリールと動画を閲覧できます。あなたの視聴活動は完全にプライベートです。ハッシュタグを検索して、トレンドコンテンツをすぐに探索開始できます。
パフォーマンス分析
12リールの分析
💡 トップ投稿は平均2.4M回の再生（平均の2.4倍）
週3-5回、活動時間に定期的に投稿
コンテンツ作成のヒントと戦略
🔥 #Cloud Data Warehouseは高いエンゲージメント可能性を示す - ピーク時に戦略的に投稿
✍️ ストーリー性のある詳細なキャプションが効果的 - 平均長471文字
📹 #Cloud Data Warehouseには高品質な縦型動画（9:16）が最適 - 良い照明とクリアな音声を使用
✨ 多くの認証済みクリエイターが活動中（67%） - コンテンツスタイルを研究
#Cloud Data Warehouse に関連する人気検索
🎬動画愛好家向け
Cloud Data Warehouse ReelsCloud Data Warehouse動画を見る
📈戦略探求者向け
Cloud Data Warehouseトレンドハッシュタグ最高のCloud Data Warehouseハッシュタグ
🌟もっと探索
Cloud Data Warehouseを探索#cloude#clouding#data warehouse#clouds#cloud#data#warehouse#warehouses