David Wang
Technical Evangelist => Big Data Analytics, database architecture, data management, data protection, enterprise storage and cloud computing
Things to Consider When Scaling Analytics for High QPS
In the era of analytics where query volume is the sine qua non “V” of data, how should we think about system architecture – what matters and why?
Why Analytics Needs More than a Data Warehouse
For decades, analytics were defined by business intelligence and executive-style reports powered by read-optimized data warehouses. This article dives how an analytics are shifting from batch reporting workflows to real-time application workflows.
Real-Time Analytics: Building Blocks and Architecture
There’s an increasing need for immediacy in data analytics, and it’s happening at scale on large data sets. This post unpacks the key building blocks and data architecture for real-time analytics.
Apache Druid: Making 1000+ QPS for Analytics Look Easy
This post dives into Apache Druid’s architecture with details on how it can efficiently handle analytics applications needing high QPS.
Apache Kafka, Flink, and Druid: Open Source Essentials for Real-Time Data Products
Apache Kafka, Flink, and Druid, when used together, create a real-time data architecture for a wide range of streaming data-powered use cases from alerting, monitoring, dashboards, ad-hoc exploration, and decisioning workflows.
Four Key Considerations for Customer-Facing Analytics
Analytics aren’t just for internal stakeholders anymore. If you’re building an analytics application for customers, then you’re probably wondering…what’s the right database backend?
What Developers Can Build with Apache Druid
Exploring the popular uses for Apache Druid, a high-performance, real-time analytics database, and how it could fit in your data stack.
Apache Druid in 5 minutes
This video answers “Why Druid instead of a data warehouse – like Snowflake, BigQuery, or Redshift – or an operational database like PostgreSQL or MongoDB? What makes Druid special?
Apache Druid’s Fit in the Modern Data Stack
In a crowded database market, it can be hard to figure out why to use one technology vs another. This video explains where Druid fits in the data ecosystem relative to other databases.
Apache Druid Explained | Core Concepts
This video provides a technical overview of Apache Druid. The intent of this video is to provide technical builders a general understanding of Druid’s core architecture and design principles across ingestion, storage and high performance querying.
David Wang
Technical Evangelist
David Wang is the VP Product Marketing at Imply. David’s area of expertise includes Big Data Analytics, database architecture, data management, enterprise storage, data protection, virtualization, and cloud computing. He is an engineer turned evangelist and applies his experiences across data infrastructure to help others better understand the complex ecosystem and apply new technologies to solve technical problems.