Data Resources

Databricks Lakeflow Spark Declarative Pipelines Migration From Non‑Unity Catalog to Unity Catalog

Migrating DLT to Unity Catalog mainly involves updating table references, permissions, and removing path-based access while keeping pipeline logic largely unchanged.

March 4, 2026

by Seshendranath Balla Venkata

· 1,081 Views · 1 Like

Implementing Decentralized Data Architecture on Google BigQuery: From Data Mesh to AI Excellence

Traditional centralized data lakes don’t scale for AI. A Data Mesh not only decentralizes data ownership by domain but also enforces federated governance.

March 3, 2026

by Jubin Abhishek Soni

CORE

· 2,660 Views · 1 Like

How Power Automate Helps Analysts Send Alert Emails Faster and How AI Builder Takes It to the Next Level

Power Automate automates data-driven alert emails, eliminating manual dashboard checks. With AI Builder, alerts become intelligent and provides proactive decision-making.

March 3, 2026

by Harsh Patel

· 2,374 Views

5 Surprising Truths About Scaling Apache Spark

Strategies for optimizing Apache Spark performance by addressing core bottlenecks like data shuffling, join inefficiencies, and excessive data scanning.

March 3, 2026

by Anurag Malik

· 946 Views

Probabilistic Data Structures for Software Security

Learn how bloom filters and count-min sketch make security systems fast and scalable by trading perfect accuracy for speed and memory efficiency.

March 3, 2026

by Shashank Gollapudi

· 1,681 Views · 1 Like

Why Your "Stateless" Services Are Lying to You

“Stateless” systems aren’t. Hidden state — caches, pools, SDK retries, kernel buffers — breaks deployments and scaling. Make it explicit, externalized, and observable.

March 2, 2026

by David Iyanu Jonathan

· 1,163 Views

5 Security Considerations for Deploying AI on Edge Devices

When securing AI on edge devices, consider data protection in transit and at rest, secure OTA updates, identity and access management, and more.

March 2, 2026

by Zac Amos

· 1,372 Views

Cost Is a Distributed Systems Bug

Cloud systems scale — but unchecked, they can bankrupt you. Measure, automate, and optimize costs to keep your infrastructure resilient and your budget intact.

March 2, 2026

by David Iyanu Jonathan

· 1,968 Views

Hot Data: Where Real-Time Insight Begins

Processing hot data has significant value in the modern age, as it enables businesses to make instant decisions with low-latency, fault-tolerant, real-time systems.

February 27, 2026

by Gautam Goswami

CORE

· 2,043 Views

Backlog Black Hole: Engineering a Semantic Triage Engine at Scale

Learn to reduce duplicate bug reports with semantic search: embeddings, FAISS, and GPT-4o streamline triage, saving engineers hours on large ticket backlogs.

February 27, 2026

by Nishant Jain

· 1,097 Views

Unified Intelligence: Mastering the Azure Databricks and Azure Machine Learning Integration

Bridge the gap between Big Data and production ML. Learn to integrate Azure Databricks with Azure Machine Learning for a seamless, scalable end-to-end MLOps workflow.

February 27, 2026

by Jubin Abhishek Soni

CORE

· 1,235 Views

The Hidden Cost of Custom Logic: A Performance Showdown in Apache Spark

A deep dive into PySpark UDF performance, showing why standard Python UDFs slow pipelines and when to use Pandas UDFs or native Spark functions instead.

February 26, 2026

by Abhilash Rao Mesala

· 1,584 Views

Intelligent Load Management for LLM Calls: From Static Rate Limits to Priority-Aware "Agent QoS"

Use a fair, priority-based tool scheduler instead of static rate limits, leveraging concurrency caps, signals, abort rules, and safe degradation.

February 26, 2026

by Anusha Kovi

CORE

· 953 Views

Edge Computing's Infrastructure Problem: What Two Years of Factory Visits Actually Revealed

Most edge computing remains cloud-dependent, with genuine use cases limited to strict latency or connectivity needs — making it more marketing than architecture.

February 25, 2026

by Igboanugo David Ugochukwu

CORE

· 1,458 Views · 2 Likes

Building Event-Driven Data Pipelines in GCP

An analysis of modernizing event-driven data pipelines using BigQuery, Firestore, and Dataflow on Google Cloud Platform (GCP).

February 24, 2026

by Krishnam Raju Narsepalle

· 1,170 Views

Data Driven API Testing in Java with Rest-Assured and TestNG: Part 1

Learn how to perform data-driven API automation testing with Rest-Assured using object arrays and TestNG's @DataProvider annotation.

February 23, 2026

by Faisal Khatri

CORE

· 1,961 Views · 2 Likes

The Quantum Computing Mirage: What Three Years of Broken Promises Have Taught Me

Despite steady progress, quantum computing remains decades from practical advantage, with cryptography upgrades as its only near-term impact.

February 23, 2026

by Igboanugo David Ugochukwu

CORE

· 1,693 Views · 4 Likes

Azure AI Search at Scale: Building RAG Applications with Enhanced Vector Capacity

Azure AI Search now supports massive vector scale (tens of millions per index) with better performance and cost efficiency.

February 23, 2026

by Jubin Abhishek Soni

CORE

· 942 Views

The Missing Primitive in Data Platforms: Agent Contracts for Tool Calls

Define agent contracts per tool, including success criteria, SLOs, golden traces, allowed data, rollback triggers, canary releases, and retry limits.

February 20, 2026

by Anusha Kovi

CORE

· 1,167 Views · 1 Like

Why End-to-End Testing Fails in Microservice Architectures

End-to-end testing fails in microservices due to non-determinism, complex environments, slow feedback, and unclear ownership, making tests flaky and unreliable.

February 20, 2026

by Alok Kumar

· 2,471 Views

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