The quickest way in.
Three short reads from this category, none longer than 9 minutes. Then browse by topic or work through the full list below.
Every article in this category.
14 articles, newest first
DatabricksDatabricks Genie and Agent Bricks: AI on enterprise data
Databricks Genie lets business users ask questions of governed data in plain language, and Agent Bricks is where developers build agents on top. Here is what each does today, what makes answers accurate, where it breaks, and how to run a first pilot in manufacturing or defence.
· 10 min read
DatabricksDatabricks pricing explained: DBUs and what you really pay
Databricks bills in DBUs, but the DBU rate is only part of the bill. Here is how the rates differ by compute type and tier, what the cloud provider charges on top, and where the money actually leaks.
· 10 min read
DatabricksUnity Catalog in Databricks: governance set up properly
Unity Catalog is the governance layer for everything in Databricks: one place to control access, track lineage and prove who touched what. Here is how it works and how to design it so it still makes sense in year three.
· 11 min read
DatabricksDatabricks vs Microsoft Fabric: a decision guide
Fabric is the faster path for a Microsoft shop whose main output is Power BI. Databricks is the stronger engineering and ML platform. Many organisations end up running both, and that can be the right answer if you design it on purpose.
· 10 min read
SnowflakeERP data into Snowflake: SAP, Oracle and Dynamics 365
The realistic ways to get SAP, Oracle and Microsoft Dynamics 365 ERP data into Snowflake in 2026, the licensing traps for each, and the data-model work that decides whether the platform is trusted.
· 10 min read
SnowflakeSnowflake architecture explained, and what it is used for
Snowflake is a cloud data platform that keeps storage, compute and coordination in three separate layers. Here is how that architecture works, what companies use it for, and where it is not the right fit.
· 10 min read
SnowflakeSnowflake Cortex AI and Snowflake Intelligence explained
Snowflake Cortex AI is the set of AI services that run inside your Snowflake account. Here is what each part does, what it costs at list price, where the risks sit and how to run a first pilot in manufacturing or defence.
· 10 min read
SnowflakeSnowflake pricing explained: credits, editions and costs
Snowflake bills compute in credits, storage per terabyte and data movement per terabyte. Here is what each costs at list price, where bills grow without anyone noticing, and the controls I put in place before go-live.
· 10 min read
SnowflakeSnowflake vs Databricks: how to choose in 2026
Both platforms now do warehousing, data engineering, Postgres and AI agents. The choice comes down to where your work starts, who runs it and who pays the cloud bill. Here is how I would decide.
· 10 min read
DatabricksWhat is Databricks used for? A plain-English guide
Databricks is where companies bring their data together, clean it, and use it for reporting, machine learning and AI. Here is what it does, what it is not for, and how to tell whether you need it.
· 10 min read
TechnicalSAP BPC: when it works, when it doesn't, and what comes next
SAP BPC is still supported, but its future depends on which version you run. Here is what it still does well, the maintenance dates that matter, and when to move planning to SAC and consolidation to Group Reporting.
· 11 min read
TechnicalSAP Analytics Cloud: strategy, pricing, when it works
SAP Analytics Cloud combines reporting and planning in one place, but only works when the data under it is trusted. What it does, what it costs and when it is the right choice.
· 8 min read
Crisis & RecoveryWhy SAP data migration fails and how to fix it
Most SAP data migrations fail because the plan was built on what the business thought its data looked like. This guide covers the five mistakes behind most cutover failures, a mock-load plan you can copy, and which S/4HANA tools fit which job.
· 9 min read
Modernization & IndustryThe $66B ERP industry and why CFOs still reach for Excel
A logistics supervisor told me his team exported ERP data to Excel every week for inventory planning, after the company had paid a fortune for planning modules. That gap, not the go-live, is the real ERP failure story, and AI does not close it on its own.
· 8 min read
Written by Noel D'Costa
25 years in ERP delivery across SAP, Oracle and Microsoft, now a chief technology officer. I write from the programmes I have run, for the people making these decisions.
Tell me what you're working on.
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