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The Latest Data Topics

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Developing Low-Cost AI-Based Similarity Search
A simple AI-powered chatbot that work a contextual search engine powered by RAG and essentials concepts of AI like vector embeddings and cosine similarity search.
October 6, 2025
by Anton Yarkov DZone Core CORE
· 2,287 Views
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7 AWS Services Every Data Engineer Should Master
In 2025, S3, Glue, Lambda, Athena, Redshift, EMR, and Kinesis form the core AWS toolkit for building fast, reliable, and scalable data pipelines.
October 6, 2025
by Sai Mounika Yedlapalli
· 4,256 Views · 3 Likes
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Guardrails for AI: Protecting Privacy in Both Prompts and Responses
LLMs like ChatGPT raise privacy risks in both inputs and outputs. Learn the key threats and guardrails to protect sensitive data responsibly.
October 6, 2025
by Karthik Mahalingam
· 2,501 Views
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Behind the Scenes: How Apps Are Collecting Your Data
Devs add third-party SDKs to their apps, like installing pre-built windows in houses, that may include manufacturers' hidden cameras, collecting data from inside the app.
October 6, 2025
by Kanna Sekar
· 2,078 Views
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Enabling Risk Management With AI/ML Powered by Cloud Native Data Architecture
Leverage cloud-native architectures to improve data quality, automate risk management, and enhance ML-driven financial crime detection.
October 3, 2025
by Pradyumna Shukla
· 3,071 Views · 2 Likes
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From Big Data to Agents: My Decade Building Systems
How a simple scraper, a few dashboards, and a lot of curiosity turned into agentic systems that actually ship value. A builder’s path.
October 3, 2025
by Nacho Corcuera
· 2,785 Views · 2 Likes
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Testing Updates in Insert-Only Ledger Tables and Understanding Updates in Updatable Ledger Tables
SQL Server ledger tables ensure data integrity: insert-only tables block updates, while updatable ones log every change. Learn how each handles updates.
October 2, 2025
by arvind toorpu DZone Core CORE
· 3,026 Views · 3 Likes
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Building a Scalable and Reliable Marketing Data Stack on GCP
A resilient marketing data stack on GCP leverages BigQuery, Pub/Sub, and Dataflow to deliver real-time insights, handle schema drift, and scale analytics.
October 2, 2025
by Shafeeq Ur Rahaman
· 1,337 Views · 2 Likes
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Salesforce Data Cloud: Setting Up and Using the Ingestion API
In this guide, learn to use Salesforce Data Cloud Ingestion API for real-time and bulk data ingestion to deliver accurate, personalized customer experiences.
October 2, 2025
by Ramesh Bellamkonda
· 4,008 Views · 2 Likes
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From Keywords to Meaning: A Hands-On Tutorial With Sentence-Transformers for Semantic Search
This tutorial shows how to use sentence-transformers to build a semantic FAQ search engine that matches queries by meaning, not just keywords.
October 1, 2025
by Amit Chaudhary
· 2,970 Views
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Detecting and Reducing Fake Contact Data
Apple ecosystem signals like iMessage, FaceTime, and WhatsApp help cut fake leads and appointments, boosting efficiency and conversion rates.
October 1, 2025
by Andrii Konovalskyi
· 1,680 Views · 1 Like
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Implementing Governance on Databricks Using Unity Catalog
We learn how to treat data as a product through governance in Unity Catalog, ensuring the right people, metadata about the datasets.
October 1, 2025
by Junaith Haja
· 2,892 Views · 3 Likes
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From 0.68 to 10 Requests/Second: Optimizing LLM Serving With vLLM
This article demonstrates how vLLM is a game-changer for efficient GPU memory utilization and what makes it a high-throughput serving and inference engine.
September 30, 2025
by Rajashree Mandaogane
· 5,730 Views
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Caching Mechanisms Using Spring Boot With Redis or AWS ElastiCache
From database bottlenecks to lightning-fast APIs, improve your app’s performance by implementing caching in Spring Boot with Redis and ElastiCache for microservices.
September 30, 2025
by Damodhara Reddy Palavali
· 7,657 Views · 3 Likes
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Scoped Filtering: A Practical Bridge to RBAC
Need RBAC but can’t afford an architecture overhaul? Scoped filtering lets you enforce access control at the API level, making it easy to layer onto your existing system.
September 30, 2025
by Aditi Kanaujia
· 2,223 Views · 4 Likes
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Master Advanced Error-Handling to Make PySpark Pipelines Production-Ready
PySpark jobs often fail because of bad data, network issues, or logic errors. Sometimes, after hours of processing. Learn how to make your Spark pipelines more reliable.
September 30, 2025
by Ram Ghadiyaram DZone Core CORE
· 5,048 Views · 6 Likes
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A Guide to Using Browser Network Calls for Data Processing
This article will cover how I got the viral Dubai Chocolate Pistachio Shake using basic network calls and built a scalable cloud infrastructure for ML services.
September 29, 2025
by Rajesh Vakkalagadda
· 5,565 Views · 3 Likes
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Better Data Beats Better Models: The Case for Data Quality in ML
A deep dive into the importance of data quality and strategies for improvement. We also analyze some real-world examples demonstrating the importance of data quality.
September 29, 2025
by Madhura Raut
· 1,942 Views · 3 Likes
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Federated Learning: Training Models Without Sharing Raw Data
Federated learning enables collaborative AI by training models where data lives, sharing only updates — not raw data — to ensure privacy, compliance, and trust.
September 26, 2025
by Saisuman Singamsetty
· 3,581 Views · 3 Likes
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Complex Data Tasks Are Now One-Liners With AI in Databricks SQL
In this guide, learn how to simplify data tasks with AI in Databricks SQL — summarize, translate, analyze sentiment, and mask PII with one-liner queries.
September 26, 2025
by Junaith Haja
· 3,623 Views · 2 Likes
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