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Simplifying the (complex) Lambda Architecture
Key TakeawaysThe Lambda Architecture is a Big Data architecture designed to ingest, process, and query both fresh and historical data…
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Optimizing Index Performance – A CMU Intern’s Work at Volt Active Data
Key TakeawaysLow-cardinality indices can cause slow row deletion in Volt Active Data due to linear search comparable to a full…
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Best Practices for Index Optimization in Volt Active Data
Key TakeawaysIndexes provide a trade-off between space and speed, increasing memory footprint but improving query filtering speed.Avoid creating indexes that…
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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 that requires careful planning, especially in in-memory databases like Volt Active Data, to…
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Using The Spring @Schedule Annotation
Key TakeawaysSpring provides a simple API for scheduling tasks using XML configurations and the @Scheduled annotation.There are three scheduling methods:…
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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 sources of outages like bohrbugs,…