Brax Digital Notepad
  • About me
  • Contact
  • Travel
    • East Hokkaido and pow riding
    • Faroe Islands
    • Nepal on foot
    • Climbing Gran Paradiso
    • Mongolia by Motorbike
    • Tanzania – Zanzibar
    • Tanzania – Safari
    • Tanzania – Kilimanjaro
    • Climbing Mont Blanc
    • Backpacking Vietnam
    • Namibia by Land Rover
    • USA West coast roadtrip
    • Iceland Roadtrip
  • Reading notes
    • The Lean product playbook
    • The Product Book: How to Become a Great Product Manager
    • Book notes – Factfulness
    • Book notes – Why we sleep
    • Book Notes – The Internet of money
    • Book Notes – The age of surveillance capitalism
    • Book Notes – Une brève histoire du temps
    • Book Notes – How to win friends & influence people
    • Book notes – Bankless Banking
    • Book notes – Thinking, fast and slow
    • Book notes – The shortest history of Germany
    • Book notes – Prisoners of Geography
    • Book notes – La guerre des métaux rares
    • Book notes – La panthère des neiges
    • Book notes – The end is always near
    • Book notes – The Smartest Guys in the Room ENRON
    • Book notes – Make it stick
    • Book notes – 12 rules for life
    • Book notes – The Outsiders
    • Book notes – The subtle art of not giving a fuck
    • Book notes – The coaching habit
    • Book notes – La Saga des Romanov
  • Artificial Intelligence
    • Andrew NG Machine Learning Course
      • ML 00 : Course Summary
      • ML 01 and 02: Introduction, Regression Analysis, and Gradient Descent
      • ML 03: Linear Algebra – Review
      • ML 04: Linear Regression with Multiple Variables
      • ML 05: Logistic Regression
      • ML 06: Regularization
      • ML 07: Neural Networks – Representation
      • ML 08:Neural Networks – Learning
      • ML 09: Advice for applying Machine Learning
      • ML 10: Machine Learning System Design
      • ML 11: Support Vector Machines (SVMs)
      • ML 12: Clustering
      • ML 13: Dimensionality Reduction (PCA)
      • ML 14: Anomaly Detection
      • ML 15: Recommender Systems
      • ML 16: Large Scale Machine Learning
      • ML 17: Application Example OCR
    • Deep Learning
      • Deep Learning with Tensor Flow and Keras – MNIST
      • Deep Learning with Tensor Flow and Keras – Cats and Dogs
      • QLearning – The mountain cart
    • Starcraft
      • Python SC2 – Rule Based Bot 1
      • Python Sc2 – Advanced bot
      • Python Sc2 – 3 Final rule based bot and data collection
    • Self driving car
      • Carla Agent – Environment exploration
      • Carla Agent – End to End Imitation learning
      • Carla Agent – Exploring Reinforcement learning
    • Twitter sentiment analysis
      • Twitter sentiment analysis in the context of Bitcoin price (1/3)
      • Twitter sentiment analysis in the context of Bitcoin price (2/3)
      • Twitter sentiment analysis in the context of Bitcoin price (3/3)
  • Cloud
    • GCP Cheat Sheet
    • 1 Google Cloud Platform Big Data and Machine Learning Fundamentals w1
    • 2 Google Cloud Platform Big Data and Machine Learning Fundamentals w2
    • 3 Leveraging Unstructured Data with Cloud Dataproc w1
    • 4 Serverless Data Analysis with Google BigQuery and Cloud Dataflow
    • 5 Serverless Machine Learning with Tensorflow on Google Cloud Platform
    • 6 Building Resilient Streaming Analytics Systems on GCP
    • 7 Modernizing Data Lakes and Data Warehouses with GCP
    • 8 Building Batch Data Pipelines on GCP
    • 9 Analytics and AI
    • 10 Preparing for the GCP exam
    • 11 Next Steps
    • 12 Exam essentials
    • 13 Passed the GCP Data professional exam in 2020 – tips
  • Python
    • Data Science Cheat Sheet
    • Python Cheat Sheets
    • Introduction to Python
    • Intermediate Python
      • Matplotlib
      • Dictionaries & Pandas
      • Logic, Control Flow and Filtering
      • Loops
      • Case Study: Hacker Statistics
    • Python data science Toolbox (Part 1)
      • Writing your own functions
      • Lambda functions
      • Default arguments, variable-length arguments and scope
    • Python Data Science Toolbox (Part 2)
      • Using iterators in PythonLand
      • List comprehensions
      • Case study
  • Blockchain
    • Blockchain developer Udacity
      • Part 1 – Blockchain Basics
      • Part 2 : Project – Create Your Own Private Blockchain
      • Part 3 – Ethereum Fundamentals and Development tools
      • Part 4 – Smart contracts with Solidity
      • Part 5 – Ethereum DAPP
    • Blockchain Revolution
      • Blockchain Design Principles
      • Blockchain transparency and Privacy
      • Blockchain ecosystem
      • Blockchain implementation challenges
      • Blockchain types of crypto assets
      • Blockchain mining explained in 7 steps
      • Blockchain Smart Contracts
      • Blockchain Identity and Identifiers
      • Blockchain Rethinking Financial Services
      • Blockchain and business : Applications and Implications
    • CAS Blockchain
      • CAS Blockchain notes – Introduction to Blockchains
      • CAS Blockchain notes – Platforms and Architectures
    • CAS Blockchain notes – Smart Contracts
    • Banking and Tokenization – Concrete requirements
    • Building your own Bitcoin price LED board
    • Making your very own token on the Ethereum blockchain
    • Create an artwork with artificial intelligence and publish it as an NFT on Opensea
    • DeFi, an opportunity or a threat for traditional institutions?
      • Decentralized finance, an opportunity, or a threat for traditional institutions? (1/2)
      • Decentralized finance, an opportunity, or a threat for traditional institutions? (2/2)
    • Sentcrypt
    • NFTs – New Frenzy Tokens
    • Podcast : Let’s talk Crypto custody solutions development
    • Webinar : How Tokenization will Change the Art Industry and Creative Markets
    • Creating your Own ERC-1155 NFT Avatar
    • Podcast : Let’s talk NFTs!
    • CV Summit 2022 panel on stable coins and CBDCs
    • Online Gaming : Gateway to the metaverse
    • Play to Earn and GameFI : Building blocks of the metaverse
    • DAO-WN the rabbit hole : a primer on daos
  • Misc pages
    • Building presentations
    • Quotes
    • New words – Def
    • List of reads
    • List of Reads – Images
    • Scrum Guide
    • Agile
    • SAFe for teams
    • RFI / RFP
  • Tip me !

Building resilient streaming analytics systems on GCP

Cloud

6 Building Resilient Streaming Analytics Systems on GCP

Stream analytics has many applications Data Integration Access data warehousesin real-time Take the load off scource databases with change data capture (CDC) Utilize microservices more effectively Online decisions Real-time recommandations Fraud detection Gaming events Finance back office apps Volume (Terabites of data) + Velocity (Real time) + Variety (Unstructured data) Read more…

By Brax, 5 years5 years ago
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  • About me
  • Agile
  • Contact
  • Library
  • List of reads
  • Misc pages
  • New words
  • Quotes
  • RFI / RFP
  • SAFe for teams
  • Scrum Guide
  • Tip me !