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The Latest Data Engineering Topics

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Agentic Development: My Invisible Dev Team
Agentic development speeds up coding with AI tools like Cursor and Claude — but teams must rethink review and delivery processes to keep up.
April 7, 2026
by Vijay Munduru
· 2,866 Views
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The ORM Is Over: AI-Written SQL Is the New Data Access Layer
ORMs add hidden complexity and unpredictable performance as apps grow. With AI, you can generate clear raw SQL fast and run it safely.
April 7, 2026
by Satyam Nikhra
· 7,880 Views · 1 Like
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Precision, Recall, and Identity Error in Programmatic Advertising
Programmatic ads optimize for reach because recall is easy to measure. Match rates show how much of the audience is resolved, not how accurately it’s targeted.
April 7, 2026
by Sagar Ganapaneni
· 2,544 Views
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Spark on AmpereOne® M Arm Processors Reference Architecture
Deploy and tune Apache Spark on AmpereOne M, with setup steps, cluster configs, and benchmarks showing gains vs Ampere Altra in performance and efficiency.
April 6, 2026
by RamaKrishna Nishtala
· 3,654 Views · 2 Likes
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Engineering for the Answer Engine: GEO for RAG-Friendly Web Apps (TalentHacked.com Case Study)
Make your app LLM-citable by increasing Information Gain and making content easy to retrieve: ship SSR, add llms.txt, and publish JSON-LD entity definitions.
April 6, 2026
by Chidozie Managwu
· 3,161 Views
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The Embed Is the Product: Rethinking AI Distribution
APIs give access, and embeddable UI gives distribution. Ship embeddable UI components with escape hatches. Harder to build, but worth it.
April 6, 2026
by Ashish Shubham
· 3,182 Views
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Engineering Agentic Workflows: Architecting Autonomous Multi-Agent Systems With MCP and LangGraph
As AI evolves from passive RAG pipelines to autonomous Agentic Workflows, developers must move beyond linear chains to cyclic, state-aware architectures.
April 6, 2026
by Vamshidhar Parupally
· 4,655 Views
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Smart Controls for Infrastructure as Code with LLMs
By generating context-aware controls and performing sophisticated code reviews, LLMs significantly enhance our ability to build secure and efficient cloud infrastructure.
April 6, 2026
by Shiv Kumar
· 3,136 Views
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The 2026 Guide to Ecommerce Security and Development
Ecommerce security is now a core business strategy. Companies must adopt security-by-design, zero trust, and AI-driven fraud detection to protect revenue and customers.
April 6, 2026
by Lucas Carlson
· 3,257 Views
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Clock Synchronization and Ordering Events in Distributed Systems: Lamport Clocks vs. Vector Clocks
System clocks can't be trusted in distributed systems. Lamport clocks bring order, and vector clocks detect concurrency.
April 6, 2026
by Vineet Bhatkoti
· 3,284 Views
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Hadoop on AmpereOne Reference Architecture
Hadoop on AmpereOne M shows improved throughput, scaling, and efficiency, with setup, tuning, and benchmark insights for optimizing big data workloads.
April 3, 2026
by RamaKrishna Nishtala
· 5,763 Views
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Chat with Your Oracle Database: SQLcl MCP + GitHub Copilot
MCP gives Copilot a standard way to call tools (like SQLcl) without custom integrations. SQLcl runs locally and talks to Oracle; SQL MCP exposes an MCP server over stdio.
April 3, 2026
by Sanjay Mishra
· 5,294 Views
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Not AI-First — Work-First!
This article explores how the nature of work shapes AI adoption, and why process mapping prepares the enterprise for AI success.
April 3, 2026
by Rick Freedman
· 4,443 Views · 3 Likes
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Retiring a Tier-0 Legacy Database Without Breaking the Business
Tier-0 database migrations succeed only with deterministic transformations, reproducible validation, and irreversible-aware cutovers under real production constraints.
April 3, 2026
by Karan Ashok Luniya
· 2,449 Views · 1 Like
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From Concept to Production: A Strategic Framework for AI/ML Project Success
AI fails when treated like software. AI succeeds when built with a framework designed for uncertainty, data drift, and decision risk.
April 3, 2026
by Rashmi Sehgal
· 2,725 Views · 1 Like
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Reducing Deployment Time by 60% on GCP: A CI/CD Pipeline Redesign Case Study
We reduced deployment time from 52 minutes to 19 minutes by redesigning our CI/CD pipeline on GCP, eliminating manual steps and infrastructure bottleneck.
April 3, 2026
by Ankush Madaan
· 2,557 Views
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How Spec-Driven Development Brings Structure to AI-Assisted Engineering and How We Put It to the Test
Spec-Driven Development (SDD) offers a structured approach where clear, machine-readable specifications guides AI to generate code.
April 3, 2026
by Sergey Laptick
· 2,090 Views
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AI-Generated DataWeave in MuleSoft: Production Failure Modes and How to Make It Safe
AI can draft DataWeave code, but without guardrails, it fails in real production conditions. Defensive coding, contracts, and tests are mandatory.
April 3, 2026
by Manjeera Chanda
· 2,096 Views · 1 Like
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Context Graphs: From Outcomes to Decisions
Enterprise systems store outcomes, not reasoning. Context graphs capture decision context, enabling AI agents and turning systems of record into systems of reasoning.
April 2, 2026
by Naresh Dulam
· 3,368 Views · 3 Likes
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AI-Assisted Testing: Real-Life Use Cases vs. Myths
Using AI in quality assurance is now essential to staying competitive, but teams still need to stay grounded and involve people to balance the hype with real results.
April 2, 2026
by Konstantin Klyagin
· 3,023 Views · 1 Like
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