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The Latest Data Engineering Topics

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When Million Requests Arrive in a Minute: Why Reactive Auto Scaling Fails and the Predictive Fix
Learn how to handle flash crowds with predictive, schedule-aware autoscaling, readiness checks, and tier-based capacity to prevent downtime and lag.
March 6, 2026
by Shalini Sudarsan
· 2,502 Views
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The A3 Handoff Canvas
The A3 Handoff Canvas helps teams use AI responsibly by defining task splits, inputs, outputs, validation, failure rules, and records for repeatable workflows.
March 6, 2026
by Stefan Wolpers DZone Core CORE
· 2,511 Views
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Deterministic AI With OpenSymbolicAI
An agentic solution that follows the PlanAndExecute approach can leverage the power of LLMs while executing deterministic code to provide reliable results.
March 6, 2026
by Karthik Viswanathan
· 2,612 Views
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Implementing Sharding in PostgreSQL: A Comprehensive Guide
PostgreSQL sharding distributes data by key across servers for horizontal scale. This guide shows how to shard a Sales table with practical SQL.
March 5, 2026
by arvind toorpu DZone Core CORE
· 4,470 Views · 2 Likes
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42% of AI Projects Collapse in 2025 — The Battle-Tested Framework Wall Street Uses
Adopt the Three Lines of Defence (3LoD) framework: a banking-proven risk management system with three oversight layers. Result: 22% faster AI deployment + fewer failures.
March 5, 2026
by Nidhi Sharma
· 1,499 Views · 3 Likes
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Consensus in Distributed Systems: Understanding the Raft Algorithm
Raft consensus simplifies reliability in distributed systems; essential for software engineers and architects making fault‑tolerant design decisions.
March 5, 2026
by Ammar Husain DZone Core CORE
· 1,973 Views · 1 Like
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Why “End-to-End” AI Will Always Need Deterministic Guardrails
End-to-end AI is probabilistic and prone to hallucinating unsafe physical actions. True safety requires wrapping these models in deterministic guardrails.
March 5, 2026
by Nishant Bhanot
· 1,649 Views · 2 Likes
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From Rational Agents to LLM Agents
Learn how AI agents act rationally with AIMA’s theory and AIA’s practical architecture, balancing autonomy, feedback, and reliable decision-making.
March 5, 2026
by Trần Ngọc Minh
· 1,015 Views · 1 Like
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Clean Code in the Age of Copilot: Why Semantics Matter More Than Ever
Your codebase is essentially a prompt: messy abstractions and "God Classes" pollute the context window, causing AI models to hallucinate or generate bugs.
March 5, 2026
by Nikita Kothari
· 2,162 Views · 3 Likes
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Why Front-End Performance Issues Are Commonly Back-End Issues
A significant portion of the front-end performance issues that arise are not due to the frontend at all but to the back-end APIs, dependencies, and infrastructure.
March 5, 2026
by Satyam Nikhra
· 2,386 Views · 1 Like
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AWS Transfer Family SFTP Setup (Password + SSH Key Users) Using Lambda Identity Provider + S3
Deploy a managed AWS Transfer Family SFTP server backed by S3, using a Lambda identity provider for password and SSH-key logins.
March 4, 2026
by Praveen Chaitanya Jakku
· 4,575 Views
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Token-Efficient APIs for the Agentic Era
TOON and TRON reduce token consumption by removing JSON's repetitive keys and delimiters, with TOON for tabular data and TRON for schema-stable agent flows.
March 4, 2026
by Vineet Bhatkoti
· 2,336 Views · 1 Like
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Building an Accessibility-First AI Assistant With IBM Granite and RAG
Learn how to build a disability-aware AI assistant using IBM Granite LLM and retrieval-augmented generation with FastAPI backend and adaptive response generation.
March 4, 2026
by Lohitaksha Patary
· 2,068 Views
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Prompt Engineering Is Dead. Long Live DSPy.
Manual prompt engineering is dead; it is brittle, unscalable, and reliant on "magic strings." DSPy replaces this by treating prompts as optimizable parameters.
March 4, 2026
by Nikita Kothari
· 4,035 Views
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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
· 1,440 Views · 1 Like
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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 Soni, FBCS DZone Core CORE
· 2,804 Views · 1 Like
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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
· 2,489 Views
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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
· 1,037 Views
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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
· 1,821 Views · 1 Like
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Network Fundamentals Every Backend Developer Must Know
Learn essential network fundamentals that every backend developer needs to master. Understand TCP/IP, DNS, HTTP protocols, and debugging to build better applications.
March 3, 2026
by Kamal Rawat
· 3,639 Views · 1 Like
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