Big Data Resources

Top 10 Best Places to Prepare for Your Next Data Engineer Interview

Candidates must demonstrate strong SQL, Python, data modeling, ETL, Spark, data warehousing, and system design expertise while solving real-world data challenges.

July 10, 2026

by Rahul Han

· 2,549 Views · 1 Like

Building Production-Grade Delta Lake Pipelines With Apache Spark on Databricks

This article walks through building a modern Databricks pipeline using the Medallion Architecture, explains Delta Lake's transaction log and ACID guarantees.

July 8, 2026

by Jubin Soni, FBCS

CORE

· 1,705 Views · 1 Like

Azure Databricks for Scalable MLOps and Feature Engineering With Apache Spark, Delta Lake, and MLflow

A practical guide to feature engineering at scale with Azure Databricks, covering distributed data processing with Spark and reliable storage with Delta Lake.

July 6, 2026

by Jubin Soni, FBCS

CORE

· 1,479 Views

From Polling to PubSub: Building an Asynchronous OPC UA Stack in Python

The architectural design and engineering required to build a native, asynchronous OPC UA Pub/Sub (IEC 62541-14) stack in Python for the open-source opcua-asyncio library.

July 3, 2026

by Harshith Narasimhan Srivatsa

· 2,237 Views · 1 Like

Real-Time AI Feature Engineering With Spark Structured Streaming and Databricks Feature Store

How Spark Structured Streaming and the Databricks Feature Store work together to build point-in-time-correct features from Kafka events to streaming transformations.

July 2, 2026

by Jubin Soni, FBCS

CORE

· 2,475 Views

Dead Letter Queue Patterns in Apache Flink: Handling Poison Messages Without Stopping Your Stream

A poison message can trap a Flink job in a restart loop. Use side outputs, retries, tiered DLQs, durable sinks, and replay jobs to keep the stream running.

July 2, 2026

by Rohit Muthyala

· 3,713 Views

Apache Spark Query Optimization on Databricks: Catalyst, AQE, and Photon Engine

Spark query performance on Databricks is driven by a multi-layer optimization stack: Catalyst transforms SQL into optimized execution plans.

July 2, 2026

by Jubin Soni, FBCS

CORE

· 2,531 Views

Fine-Tuning LLMs at Scale With Databricks MLflow and Spark

Learn how Databricks, Apache Spark, MLflow, and Hugging Face Transformers work together to create an end-to-end fine-tuning platform.

June 30, 2026

by Jubin Soni, FBCS

CORE

· 1,741 Views

Data Pipeline Observability: Why Your AI Model Fails in Production

Your machine learning model had 95% accuracy in testing, but crashes in production. The problem isn't the model, it's your data pipeline.

June 26, 2026

by Abhilash Rao Mesala

· 1,823 Views · 1 Like

Implementing Asynchronous Communication Between Microservices Using Kafka and Spring Boot

Kafka decouples services, buffers spikes, and routes failures to a DLT. Schemas are contracts; consumers must be idempotent.

June 24, 2026

by Mallikharjuna Manepalli

· 3,528 Views · 1 Like

Data Governance Checklist for AI-Driven Systems

A practical checklist for evaluating AI data readiness, covering data quality, governance, lineage, access controls, retrieval systems, and ongoing monitoring.

June 23, 2026

by Abhishek Gupta

CORE

· 1,870 Views · 2 Likes

The Real-Time Revolution: Why Blockchain Needs Data Stream Processing

Blockchain and data streaming are bringing unprecedented levels of security, transparency, and real-time mechanisms to move data across the digital world.

June 17, 2026

by Gautam Goswami

CORE

· 2,334 Views · 1 Like

Parallel Kafka Batch Processing With Kotlin Coroutines in Spring Boot

Learn how Kotlin Coroutines improve Spring Boot Kafka batch processing with parallel execution, resource throttling, and faster database operations.

June 16, 2026

by Erkin Karanlık

· 2,992 Views · 1 Like

From ETL to Lakeflow: Shifting to a Declarative Data Paradigm

The article focuses on moving away from traditional, "imperative" ETL processes to a modern, "declarative" approach using the Databricks Lakeflow platform.

June 15, 2026

by Seshendranath Balla Venkata

· 2,805 Views · 2 Likes

Rust-Native Alternatives to Spark SQL and DataFrame Workloads

Sail is an open-source computation framework that serves as a drop-in replacement for Apache Spark (SQL and DataFrame API) in both single-host and distributed settings.

June 11, 2026

by Srinivasarao Rayankula

· 3,715 Views · 3 Likes

Combining Temporal and Kafka for Resilient Distributed Systems

Kafka handles durable event streaming while Temporal manages long-running workflow state, retries, and recovery to build resilient distributed systems.

June 9, 2026

by Akhil Madineni

CORE

· 2,512 Views · 2 Likes

The Big Data Architecture Blueprint: Core Storage, Integration, and Governance Patterns

This comprehensive technical guide breaks down the essential architectural, storage, and integration patterns required to scale enterprise big data platforms.

June 8, 2026

by Ram Ghadiyaram

CORE

· 2,842 Views · 2 Likes

Is the Data Warehouse Dead? 3 Patterns From Enterprise Architecture That Answer This Question

No, but its role has fundamentally changed. Here is what I have seen work, after building data platforms at enterprise scale across multiple industries.

June 5, 2026

by Nabarun Bandyopadhyay

· 5,188 Views · 1 Like

Building Threat Intelligence Pipelines Using Python, APIs, and Elasticsearch

STIX/TAXII in, ECS normalized, provenance preserved deterministic IDs, correct bulk writes, ingest pipelines keep threat indicator data reliable and queryable under load.

June 3, 2026

by Krishnaveni Musku

· 3,410 Views

Optimizing Databricks Spark Pipelines Using Declarative Patterns

This article explains why hand-tuning Spark is becoming the slow path — and what the declarative alternatives actually look like in production.

June 1, 2026

by Seshendranath Balla Venkata

· 1,958 Views · 1 Like

The Latest Big Data Topics