GigaOm x Pythian: Realities and Risks of Enterprise AI
In a recent interview on the Business Disruptions in Tech podcast, Howard Holton and ...


The dust has barely settled on Google Cloud Next '26 keynote address, and the message from the keynote stage was clear: ...

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

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 ...

Generative AI (GenAI) is a game changer for business intelligence and analytics—taking self-service BI to a whole new ...

While there are opportunities to cut costs in the cloud, it’s also easy for costs to spiral out of control, especially ...

In BigQuery, loading and unloading of XML Data is not supported. The only way to load/unload XML Data into/from ...

Introduction Editor’s Note: Because our bloggers have lots of useful tips, every now and then we update and bring ...
“The transformation of the superstructure, which takes place far more slowly than that of the substructure, has taken ...
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 ...

Data is the ultimate business differentiator, which every marketing team knows. It can help you stand out from your ...
Introduction In our last blog article on data management and the DART methodology, we discussed the importance of ...

In this post, I’ll share a quick start guide on Google Cloud Platform’s (GCP) Cloud Fusion. We’ll first take a look at ...
Raw incoming data needs to go through a series of data preparation steps before it can be used for analysis. These ...
BigQuery provides fine-grained access to sensitive columns using policy tags, or type-based classification, of data. ...

In my previous post I showed you how to use dbt to expedite data preparation tasks on Google BigQuery. This time, I’ll ...
Image credit: Megha Bedi Looking for how to prepare for the latest version of Google Cloud Professional Architect ...
This post is part two of describing (near) real-time data processing for BigQuery. In this post, I will use Dataform to ...
Episode 59 Shownotes Welcome to another episode of the Datascape Podcast. Cloud consultant Megha Bedi joins us from ...

Modernizing your data management can help your organization leverage its data for sophisticated applications like ...
Apache Beam is an SDK (software development kit) available for Java, Python, and Go that allows for a streamlined ETL ...
This post describes (near) real-time data processing for BigQuery with unique and other check constraints, and unit ...

If your organization is already using the Business edition of Google Workspace and it’s working just fine, why would ...
Introduction Machine learning projects start by building a proof-of-concept or a prototype. This entails choosing the ...

Secure data ingestion is an essential component of cloud modernization—and an essential next step in the broader effort ...