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Fast Analytics On Semi-Structured And Structured Data In The Cloud
Venkat Venkataramani and Shruti Bhat explain how Rockset is architected to allow for fast and flexible SQL analytics on your data.
How We Analyze and Visualize Kubernetes Events in Real Time at Rockset
Learn how we rolled our own tool for analysis and visualization of Kubernetes events, and try the open-source dashboard for yourself.
Outside Lands, Airbnb Prices, and Rockset’s Geospatial Queries
How to use Rockset's fast geospatial indexes with Airbnb data.
Using Tableau with DynamoDB: How to Build a Real-Time SQL Dashboard on NoSQL Data
We create an example dashboard in Tableau on data in DynamoDB, using Rockset as the SQL intelligence layer.
3 cost-cutting tips for Amazon DynamoDB
How to avoid costly mistakes with DynamoDB partition keys, read/write capacity modes, and global secondary indexes.
Tableau Operational Dashboards and Reporting on DynamoDB
We review several approaches to building operational dashboards and reporting on DynamoDB data, using SQL engines like Redshift and Athena.
Custom Live Dashboards on DynamoDB
We cover different approaches to live dashboards on DynamoDB, using DynamoDB Streams, Lambda, and ElastiCache.
Tech Talk: ALT architecture for low-latency queries on large datasets
We present how the Aggregator-Leaf-Tailer architecture is used to implement Rockset's low-latency, serverless operational analytics engine.
Facebook Data Infrastructure with Dhruba Borthakur
Dhruba joins the show to discuss his time at Facebook building data infrastructure. He takes us through the major projects he worked on.
Redshift with Rockset: High performance queries for operational analytics
Run high-performance queries on data from Redshift tables by continuously ingesting and indexing Redshift data through a Rockset-Redshift integration.
Data Council SF 19: Architecting a Low-Latency Schemaless SQL Engine
Learn about the challenges when adapting SQL to principles of strong dynamic typing and the idea of full converged indexing.
Venkat Venkataramani - Valuing People
Venkat Venkataramani talks with Dave Rael about leadership, humility, contribution, commitment to doing the right things, and valuing people over software and data.
Bringing Scalable Real-Time Analytics to the Enterprise
Dhruba Borthakur and Shruti Bhat share how Rockset is bringing operational analytics to the enterprise by simplifying data architecture in the cloud.
Using Tableau for Live Dashboards on Event Data
Connect a Tableau live dashboard to a real-time event stream of complex JSON in a few easy steps.
Up and Coming: Three Startups with Amazing Potential
Venkat Venkataramani discusses how Rockset is innovating in cloud data management to minimize the effort needed to get from data to apps.
FULL Uses Rockset with DynamoDB for Live Dashboard to Manage Remote Workforce
FULL Creative uses Rockset to build live dashboards and run complex SQL on contact center call data in DynamoDB.
Building a Serverless Analytics App to Capture and Query Clickstream Data
We built a web app that collects clickstream data as free-form JSON and runs SQL queries on the live data in a completely serverless fashion.
NorCalDB2019: Powering fast SQL over semi-structured data in Rockset
We discuss and demonstrate some of the key aspects of Rockset: strong dynamic typing, converged indexing, and continuous auto-scaling.
Decore Uses Rockset for Search & Analytics on DynamoDB
Decore needed to enable ad hoc queries in their crypto accounting software service, so they turned to Rockset for fast analytics on DynamoDB.
Kafka Meetup: Operational Analytics on Event Streams in Kafka
We demonstrate how to create stateful microservices to analyze event streams using Kafka and Rockset.
Analytics on DynamoDB: Comparing Athena, Spark and Elastic
We compare options for real-time analytics on DynamoDB in terms of ease of setup, maintenance, query capability, and latency.
Strata 2019: A Data System for Low-Latency Queries for Search and Analytics
Learn how Rockset's converged indexing—combining columnar and search indexes—powers fast search and analytics.
Fynd - How Does a Growing E-Commerce Portal Respond to Consumer Behavior in Real Time?
Fynd uses Rockset to perform fast queries on real-time event streams, so they can react to consumer behavior as it happens.
The Path to Better Pollution Forecasting Goes Through Nested JSON
Pittsburgh-based developer, Doug Balog, collects and analyzes nested JSON weather data to improve pollution forecasts in his community.
Implementing a Sensor Network Simply and Efficiently - An MIT Smart City Project
An MIT team collaborates with a school in Brazil on a smart city project to analyze weather sensor data using Rockset.
How to Build a Facebook Messenger Chatbot Powered by Fast SQL on CSV
Build a chatbot that provides instant responses, leveraging fast SQL queries on CSV data.
Using Smart Schema to Accelerate Insights from Nested JSON
Use Rockset's Smart Schema to understand complex, nested JSON and enable immediate queries using SQL on raw data.
How to Run SQL on PDF Files
Run SQL queries on data from PDF files, and join PDFs with JSON, CSV, XLSX, and other data.
RocksDB with Dhruba Borthakur and Igor Canadi
Dhruba and Igor explain the technology behind RocksDB, which backs some of the most demanding applications and databases around.
Visualize Data in Rockset with Redash
Create visualizations on your Rockset data quickly and easily using native integration with Redash.
Running Fast SQL on DynamoDB Tables
Run SQL queries on your DynamoDB tables without any ETL and without impacting your production workloads.
Rockset adds Excel spreadsheet support
Run complex SQL across multiple Excel spreadsheets and join XLSX files with JSON, Parquet or CSV data.
Real-Time Analytics Using SQL on Streaming Data with Apache Kafka and Rockset
Connect Kafka and Rockset to obtain real-time analytics with ad hoc SQL queries on event streams.
Building a Serverless Microservice Using Rockset and AWS Lambda
Use SQL to join and query JSON and CSV data, and build a serverless microservice using AWS Lambda.
Rockset Data Platform with Venkat Venkataramani
Venkat discusses his journey from scaling data infrastructure at Facebook to transforming how data-driven apps are built at Rockset.
Building a Live Dashboard on Streaming Data Using Amazon Kinesis and Rockset
Serve real-time analytics on Twitter data, using SQL on streaming data from Amazon Kinesis.
Running SQL on Nested JSON
Make raw JSON immediately queryable through fast SQL queries, without ETL, data pipelines, or fixed schema.
Revolutionizing Big Data Apps
Rockset CEO Venkat Venkataramani talks about building apps without pipelines, and serverless search and analytics with native SQL.
From Useful Data to Useful Applications with Rockset
Rockset CEO Venkat Venkataramani explains how Rockset makes it really simple to build data-driven apps with very fast SQL on raw data.
Speeding Cloud-Native App Development with Rockset
Rockset CTO Dhruba Borthakur speaks with ActualTech about what Rockset does and how it changes the game for enterprises.
CUBEConversation: Venkat Venkataramani, Rockset & Jerry Chen, Greylock
Venkat and Jerry discuss Rockset's vision and the future of cloud and data.
Building Live Apps on Raw Data with Rockset
As the first cloud service that runs SQL directly on raw data, Rockset greatly simplifies app development and data science on complex data sets.
Rockset Concepts, Design & Architecture
Learn how Rockset's architecture enables highly parallelized execution of complex queries across diverse data sets.