Career Openings
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1 min read
How Docker Simplifies Distributed Systems Development at Volt Active Data
Key TakeawaysWorking on distributed systems is fun, but not easy, especially concerning environment setup, process management, and monitoring across multiple…
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Simplifying the (complex) Lambda Architecture
Key TakeawaysThe Lambda Architecture is designed for ingesting, processing, and querying both fresh and historical data in a single architecture.It…
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Optimizing Index Performance – A CMU Intern’s Work at Volt Active Data
Key TakeawaysVolt Active Data can be slow when deleting rows from tables with low-cardinality indices due to linear search of…
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Best Practices for Index Optimization in Volt Active Data
Key TakeawaysIndexes represent a “space for speed” trade-off, increasing memory footprint but accelerating query filtering.Avoid creating indexes where the column…
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Volt Active Data In-Memory Database Achieves Best-In-Class Results, Running in the Cloud, On the YCSB Benchmark
Key TakeawaysVolt Active Data v4.2 achieved best-in-class performance numbers against the Yahoo Cloud Serving Benchmark (YCSB).YCSB is a popular open-source…
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1 min readAging Out Data From Volt Active Data
Key TakeawaysDeleting records is an important function in Volt Active Data that requires careful planning, especially for in-memory databases.Ensure data…
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Using The Spring @Schedule Annotation
Key TakeawaysThe Spring framework offers a simple API for scheduling tasks using XML configurations and the @Scheduled annotation.There are three…
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Clarifications On The CAP Theorem And Data-Related Errors
Key TakeawaysThe CAP theorem contains an idealized and incomplete model of data-related errors, neglecting important outages like bohrbugs, application errors,…