Moving from SAP Business Warehouse to Databricks - Insurance Company Case Study
Explore an insurance company's migration from SAP BW to Databricks, highlighting improved performance, automated ETL, enhanced self-service, and cost reduction. Learn insights and future possibilities.
GumGum Media's Data Science Journey on Databricks
Explore GumGum Media's data science evolution with Databricks, featuring insights from Sr. Engineering Manager Brendan Frick on leveraging advanced analytics for media innovation.
Creating a Data and GenAI Ecosystem - Migrating to Databricks
Gerdau's journey to create a flexible, simplified Data and GenAI ecosystem using Databricks, resulting in cost reduction, tool consolidation, and improved governance for the steel industry.
Data Engineering on the Data Intelligence Platform - A Comprehensive Guide
Explore data engineering on Databricks' platform: ingest, transform, and orchestrate data at scale. Learn about streaming pipelines, data quality, and AI-powered tools for real-time insights.
Neo4J Knowledge Graph Builder App with Langchain, OpenAI, and Gemini
Build knowledge graphs from unstructured data using Neo4J's Knowledge Graph Builder App with AI integration for efficient data extraction and visualization.
Databricks MLOps: Accessing Data with Dbutils FS in Azure, AWS, and GCP
Learn to access data using Dbutils FS in Azure, AWS, and GCP for Databricks MLOps. Master essential techniques for efficient data handling in cloud environments.
Getting Data In and Out of Flink - Discover Flink's Connector Ecosystem
Explore Flink's connector ecosystem, learn about source and sink interfaces, and discover how to integrate with various data sources. Gain insights into contributing to Flink's development.
Evolution of Real-time User Engagement Event Consumption at Pinterest - Current 2023
Explore Pinterest's evolution in real-time event processing using Apache Flink, improving data quality and efficiency while saving millions in infrastructure costs and boosting user engagement.
Unlocking the Power of Apache Flink - An Introduction in 4 Acts
Explore Apache Flink's core principles for real-time data processing, including shared-nothing architecture, event-time processing, and state snapshots, through practical examples and demos.
Data Pipelines Evolution from Batch to Streaming
Explore the evolution from batch to streaming data pipelines using Apache Flink and Kafka. Learn strategies for seamless transition, including query-based connectors, change data capture, and handling late events.
Streaming vs. Batch Processing: The Future of Data Architecture
Explore the future of data processing with industry experts as they debate streaming vs. batch, adoption challenges, and best practices for real-time data architecture.
Is Flink SQL a Database? Understanding Apache Flink SQL
Explore Apache Flink SQL's unique approach to stream processing, adapting database concepts like queries and materialized views for real-time data analysis and processing.
Scaling Business with Real-Time ML in Microsoft Fabric Real-Time Analytics
Leverage ML on real-time data to scale business operations using Microsoft Fabric Real-time Analytics. Deep-dive into technical aspects for optimizing performance and decision-making.
Stream Processing Solution for the Enterprise - Apache Flink Implementation and Support
Explore enterprise-level stream processing with Apache Flink. Learn about lifecycle management, SQL development, multi-tenancy, security, and deployment options for robust, scalable solutions.
Producing Apache Kafka Messages Using Apache Flink and Java
Learn to produce Apache Kafka messages using Apache Flink and Java in this comprehensive walkthrough. Covers Flink job setup, Kafka configuration, data generation, serialization, and execution verification.
Event Time and Watermarks in Apache Flink
Explore event time, processing time, and watermarks in Apache Flink for effective stream processing and window operations.
Connecting Disparate Systems in a Lightweight Way
Explore lightweight methods for connecting disparate systems in modern application development. Learn efficient integration techniques for streamlined system connectivity.
Where is Fuse 8? - The Future of Red Hat's Containerized Integration Solution
Discover the future of Red Hat's containerized integration solution beyond Fuse 7 and learn how to modernize Fuse 6 workloads for upcoming needs.
Realtime Stock Market Anomaly Detection Using Machine Learning - End-to-End Data Engineering Project
Develop an end-to-end data engineering project for real-time stock market anomaly detection using Quix Streams, Redpanda, and Docker. Learn to build a complete data pipeline and deploy an advanced ML model.
Building Realtime Data Warehouses from Scratch - End-to-End Data Engineering Project
Design and implement a real-time data warehouse with Apache Airflow, Kafka, and Pinot. Create custom hooks, ingest batch and streaming data, and visualize evolving data using Apache Superset.
Behind the Hype - Architecture Trends in Data
Explore current data architecture trends with a seasoned engineer, cutting through industry hype to uncover underlying principles and ideals.