High Quality Data is no longer enough for AI based decisions. Governance, Lineage and Observability helped creation of Trusted Data Products to allow consumers to use the trusted information delivered by the Data Platforms.Generative AI and Agentic A...
Databricks Training & Certifications Learn Databricks Apache Spark Declarative Pipelines Declare what you want. Let the engine build and run the pipeline for you. Declarative ETL ◆ Streaming tables & MVs ✓ Data quality With Apache Spark™ Decl...
WordPress is often used as the front end for publishing, ecommerce, forms, memberships, and other online activities. Behind that website, useful information can accumulate quickly. Posts, users, orders, comments, form submissions, and other records c...
A pipeline can finish successfully and still produce the wrong result after a retry. Imagine an orders load that writes its data, then fails during a later task. Repeating the load with an append can add the same orders again. Replacing existing rows...
Hi @Islam_hoti ,The Core Pattern: Identity + OrderingThe article argues that idempotency is not achieved by simple "Appends." Instead, it requires two specific definitions:Identity: A business key (e.g., order_id) that tells you which entity the reco...
Hi everyone! In my previous post, I discussed how enabling Deletion Vectors helped reduce our Delta MERGE runtime from 22 minutes down to 6 minutes by eliminating write amplification.However, deferring file rewrites introduces an important architectu...
A follow-up to my Databricks architecture post. The next question I kept getting was "what actually is a lakehouse, and why not just use a warehouse?", so I drew that one too.The crisp answer: a data warehouse gives you ACID transactions, enforced sc...
atabricks SQL 2026: From SQL Analytics to an AI-Ready Data PlatformThe Databricks SQL 2026 release cycle is not just about adding more SQL functions.It reflects a much bigger shift:Databricks SQL is evolving from a query and reporting layer into a fo...
IntroductionIoT devices generate a large amount of data every day. In a perfect scenario, all this data arrives on time and our ingestion pipeline processes it using incremental loads. But in real-world IoT systems, this does not always happen.A devi...
Building a customer 360 requires connecting customer records across disparate data sets and establishing common customer identities. The Customer Entity Resolution Solution Accelerator shows how to build that foundation by translating customer attrib...
Answer firstA medallion architecture over SAP data is the same three layers everyone draws, with three jobs that are specific to the source. Bronze has to preserve deletes. Silver has to rebuild a business document that lives in five tables. Gold has...
SummaryThis post walks through the architecture of The Third Eye, a continuous AI health and governed ModelOps control plane built entirely on native Databricks capabilities. The core constraint: it never recomputes a metric Databricks already comput...
I ran the same 24 coding tasks through three arms: fixed Haiku, fixed Opus and Databricks-managed selection. The managed-selection arm passed all 24 tasks. Its 24 routing records also said task profiling was unavailable.That is not a contradiction. T...
In my 13 years of architecting data platforms—from Retail to Industrial Gas Power—I’ve learned one universal truth: A fast pipeline that delivers bad data is just a liability.As we move toward Declarative Pipelines (DLT), the role of the Architect sh...
If you use ChatGPT Work, Claude Cowork or Cursor Projects, much of Omnigent will look familiar.All of these products now organize work around projects, files and persistent context. They can run tasks for longer periods, connect to external tools and...
As data platforms move toward more declarative and incremental processing, one question comes up frequently when building pipelines in Databricks:Should I use a Materialized View or a Streaming Table?Both are important building blocks in Lakeflow pip...
Most informative one @Islam_hoti
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