Data Resources

This article explores how modern data governance and AI-ready architecture help enterprises manage data quality, risk, compliance, and AI at scale.

September 14, 2026

by Dr Gopala Krishna Behara

CORE

· 2,746 Views · 3 Likes

Building a 2KB Histogram with Sub-0.2% Percentile Error

It uses float-like encoding for O(1) bucket indexing and trapezoid interpolation for accurate percentile estimation — with no floating-point math on the recording path.

September 14, 2026

by bingxi Wu

· 1,233 Views · 2 Likes

Freshness as a First-Class Schema Concern: Modeling Data Staleness Across 83 Data Sources

How I modeled data freshness as a first-class schema concern across 83 sources, so the atlas never lies about how old its numbers are.

September 14, 2026

by Josie Leung

· 1,651 Views · 1 Like

Prompt Caching: Overriding Tokenization for Faster and More Cost-Effective AI

Prompt caching allows AI systems to reuse the processing of unchanged token sequences, resulting in faster inference, lower latency, and reduced costs.

September 11, 2026

by Ravi Ranjan Shahi

· 3,982 Views · 2 Likes

Replacing JSON With Protobuf in Your Microservice Mesh: A Zero-Downtime Migration Blueprint

JSON hurts at scale. Protobuf cuts payload size by ~72%, reduces CPU overhead, and enforces typed contracts. However, it needs careful schema management.

September 11, 2026

by Bansidhar kadiya

· 4,168 Views · 3 Likes

Improving Repeated Analytics Workloads With Databricks Disk Cache

Databricks disk cache speeds up repeated reads from curated Parquet or Delta tables, but it works best with good table design and partitioning.

September 11, 2026

by Harsh Patel

· 2,579 Views · 1 Like

Stream Processing on the Mainframe With Apache Flink: Genius or a Glitch in the Matrix?

Apache Flink on the IBM mainframe connects real-time processing with core systems, enabling hybrid cloud and AI without full migration.

September 10, 2026

by Kai Wähner

CORE

· 2,999 Views · 1 Like

Dashboards and Queries for Apache Kafka

Apache Kafka dashboards: when to use them, how to support different query types, and why a context engine often makes the difference.

September 10, 2026

by Kai Wähner

CORE

· 2,842 Views · 2 Likes

How to Safely Deploy Control-Plane and Data-Plane Changes With Argo CD and Argo Rollouts

Safely deploy control- and data-plane changes with Argo CD, Argo Rollouts, health gates, traffic shifting, and rollback.

September 9, 2026

by Akhil Madineni

CORE

· 2,850 Views · 4 Likes

Dynamic Arrays, Spill, and LET: What Changed in Excel and Why It Matters for Java Applications

Modern Excel formulas change how spreadsheets work. See what Java developers need to know when choosing a spreadsheet library.

September 9, 2026

by Hawk Chen

CORE

· 3,913 Views · 4 Likes

Bringing Graph Analytics to Snowflake With Neo4j

Run Neo4j graph algorithms directly on your Snowflake data to uncover insights about connectivity, criticality, and failure impact that SQL alone can't easily surface.

September 9, 2026

by Akmal Chaudhri

CORE

· 2,692 Views · 1 Like

From ETL, ELT, and EtLT to Agent: What Is Changing in Enterprise Data Engineering?

Enterprise data engineering is evolving from fixed ETL and ELT pipelines toward EtLT and goal-driven agents, with Apache SeaTunnel as the execution layer.

September 8, 2026

by David Zollo

· 3,031 Views · 1 Like

Select AI and Vector Search on a Legacy Oracle Schema: What It Actually Takes

DBAs and developers managing Oracle schemas want to understand what integrating Select AI and vector search entails before applying it to critical systems.

September 7, 2026

by arvind toorpu

CORE

· 2,046 Views · 2 Likes

Prompting AI for Analytics: The Missing Optimization Layer Between Your Question and the Model

A practical blueprint for cutting AI token costs in analytics — clean up the question before it reaches the model, then learn from what worked.

September 4, 2026

by Dinesh Pamcheti

· 2,784 Views · 1 Like

Your Spark Job Isn't Slow Because of Bad Code. It's Slow Because of the Wrong Join

Apache Spark job performance issues are frequently caused by improper join strategies leading to excessive data shuffling, rather than suboptimal code.

September 3, 2026

by Syed Siraj Mehmood

· 2,502 Views · 2 Likes

Best Practices for Handling Bad Data in Stream Processing Platforms

Learn best practices for handling bad data in stream processing, from schema validation and duplicate detection to dead-letter queues, monitoring, and data lineage.

September 2, 2026

by Gautam Goswami

CORE

· 2,657 Views · 3 Likes

Ampere PMU Profiler: A Guide to Microarchitecture Profiling

APP uses PMU metrics to pinpoint CPU stalls, cache misses, and other microarchitectural bottlenecks on Ampere processors

September 1, 2026

by Bhakti Hinduja

· 3,049 Views · 3 Likes

Designing Replay-Safe CDC Pipelines With Kafka, Debezium, and Recovery Contracts

How to design CDC pipelines with Kafka, Debezium, idempotent writes, deterministic projections, replay workflows, reconciliation checks, and recovery evidence.

September 1, 2026

by Ishan Shah

· 3,393 Views · 2 Likes