Oracle AI Data Platform (AIDP): No-Nonsense Platform Overview
Oracle’s AI Data Platform (AIDP) is essentially an attempt to fix the biggest annoyance ...

Pythian Synapse optimization cuts costs, improves query performance, and enables Fabric migration readiness A global IT ...

Pythian consolidated legacy warehouses, governed petabytes of regulated data, and deployed production AI A global ...

Pythian cut an aging Redshift estate query latency by 60 percent and saving $1.8M annually A multinational IT services ...

Pythian migrated a decade-old Teradata warehouse to BigQuery without disrupting 24/7 operations This organization built ...

How Pythian turned aging Exadata into a cloud-native analytics and AI platform A global multi-brand retailer with ...

How Pythian helped a global IT services provider exit Vertica Enterprise Mode and deliver production analytics and AI A ...

From Broadcom-pressured Greenplum to AI-ready cloud analytics A Tier-1 financial institution running 200+ terabytes of ...

Legacy Db2 z/OS and LUW to a cloud-native analytics and AI platform A global IT services organization across 30+ ...

Zero-disruption migration for a Tier-1 financial institution A Fortune 500 financial institution ran regulatory ...

From unsupported Hadoop to governed Databricks Lakehouse — 55% cost reduction and production AI in under a year A ...

Data is your organization’s most valuable asset.

If your organization is using Google Workspace, then your organization is storing data in the cloud, and most likely, ...

Hackers have a new tool at their disposal: generative AI.

More than four in five security decision-makers acknowledge the need to improve security measures, according to a ...

Google Workspace is built with security at its core, but that doesn’t mean it’s secure by default.

If you have big data, then you need big storage. And if you want to leverage that big data, then you’ll need to migrate ...

Frontline retail workers play a critical role in driving sales—and brand loyalty—by delivering exceptional customer ...
Data warehouse or data lake? We break down the pros and cons of each In the book Designing Cloud Data Platforms, ...
When attempting to shut down Oracle Clusterware, you might encounter the frustrating CRS-2675: Stop of 'ora.crsd' on ...
Intro In this blog post, I would like to share some options that you can consider to model your cloud DW for better ...
Both MS Excel and Google Sheets offer ways to connect directly to BQ data, to run queries, to pull data back to ...
The basics If you're a Microsoft SQL Server DBA or developer and have not been introduced to the Microsoft Azure Data ...
I recently joined Chris Presley for his podcast, Cloudscape , to talk about what’s happening in the world of ...
Background One of the common tasks in data processing is to calculate the number of days between two given dates. You ...
Introduction In our last blog article on data management and the DART methodology, we discussed the importance of ...
Raw incoming data needs to go through a series of data preparation steps before it can be used for analysis. These ...
I recently encountered the above issue which prompted me to write this blog post so I can easily reference the solution ...
BigQuery provides fine-grained access to sensitive columns using policy tags, or type-based classification, of data. ...
This post is part two of describing (near) real-time data processing for BigQuery. In this post, I will use Dataform to ...

If your organization is already using the Business edition of Google Workspace and it’s working just fine, why would ...