What We Do
Overview
Pythian is a global data and analytics services company that helps organizations like yours transform by leveraging data, analytics, AI, and the cloud.
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Contact Us ->
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Contact Us ->
Services
Database
Data Analytics and AI
Cloud
Digital Workplace
Enterprise Applications
Industries
Business Services
Financial / Insurance
Healthcare
Manufacturing
Retail / CPG
State, Local and Education
Technology
Our Partners
AWS
Google
Microsoft
Oracle
SAP
Snowflake
Resources
Blog
About Pythian
Client Login ->
Contact Us ->
Pythian Marketing
MySQL
MySQL swapping with Fsync
Microsoft SQL Server
Interesting happenstance when installing Ansible dependencies in a MySQL Docker container
Pythian at DataOps Barcelona
Orchestrator datacenter detection
SQL Server 2017 automatic tuning
Technical training - good for business and career
Technical Track
Cassandra CQL cheatsheet
Oracle
HAProxy MySQL lag awareness via systemd
Datascape podcast episode 29 – a tour of Microsoft Azure cognitive services
Podcasts
Technical insights into CockroachDB
MySQL
GitHub and Microsoft - did you hear?
Oracle
Azure Backup for SQL Server public preview
Google Cloud
Datascape episode 28 - getting to know CockroachDB with Fernando Ipar
AWS
Container orchestrators and persistent volumes: part 2: Kubernetes
Datascape podcast episode 27 – Oracle Cloud vs. the world
RDP Issue - CredSSP encryption Oracle remediation
Oracle
Container orchestrators and persistent volumes - part 1: DC/OS
Datascape podcast episode 26: a brief tour of the Google Cloud Platform
Oracle
Kong: an intro to API gateways
Scala: generics, primitive types and nulls
Google Cloud Platform
Google Cloud Platform quick tip: Cloud Shell boost mode for Docker development
Scala TreeSet: mutable vs immutable
Technical Track
Azure Cloud Shell - cloud what?
Spark UDF memoization
Inside Pythian
Debugging CBQT OR expansion with 10053 trace
Spark Scala UDF primitive type bug
Datascape podcast episode 25 – Azure SQL Database & Paas offerings
Spark performance regression with sum aggregations
Which Cassandra version should I use (2018)?
Tackling time troubles - how to use dates correctly in Oracle
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