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    Pythian is a globally trusted partner that supports customers with data, analytics, and AI solutions implementation. With three decades of experience and a team of expert consultants, we are comprehensively positioned to support you in solving your most critical challenges.

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Pythian
  • What We Do
    • AI
      • AI Strategy Consulting
      • AI Workshops
      • Custom AI Development
    • Analytics
      • Data Analytics Services
      • Advanced Analytics Services
      • Oracle Analytics Services
    • Consulting
      • Database Consulting
      • Google Cloud & AI Consulting
      • Google Workspace Transformation
      • Data Consulting
      • Cloud Consulting
    • Migrations
      • Cloud Migration
      • Database Migration
      • Google Cloud Migration
      • Oracle Consulting
    • Managed Services
      • Cloud Managed Service
      • Database Admistration (DBA) Services
      • Infrastructure Managed Services
      • AI Managed Services (AIOps)
  • Who We Are
    • About Pythian
    • Careers
    • D.E.I.
    • Events
    • Leadership
    • Newsroom
  • Our Partners
    • AWS
    • Google
    • Microsoft
    • Oracle
    • SAP
  • Resources
    • Blog
    • Customer Stories
    • Data Sheets
    • eBooks
    • Events
    • Podcasts
    • Videos
    • Webinars
    • WhitePapers
  • Blog
Client Login Contact Us ->
Technical Track

Minimal Twitter to Google Pub/Sub example with Scala

Replicating in Google Cloud SQL using Tungsten

Google Cloud Platform

Apache Beam pipelines with Scala: part 3 - dynamic processing

Google Cloud Platform

Apache beam pipelines With Scala: Part 2 - Side Input

Oracle E-Business Suite

Apache beam pipelines with Scala: part 1 - template

Oracle service secrets: more performance with less load-balancing

MySQL

MySQL crashes on DDL statement: a lesson on purge threads

Oracle

Oracle database upgrade on RDS AWS and SPM baselines

Linux

The Natural Evolution of Data Warehousing—Where We Are Today

Technical Track

Locating most current record using ROW_NUMBER() vs. Index Full Scan (Min/Max)

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