Tag: analytics
Episode 456: Tomer Shiran on Data Lakes
Tomer Shiran, co-founder of Dremio, talks about managing data inside a data lake and the ecosystem of products available for storage and analytics. Shiran and SE Radio host Akshay Manchale briefly explore the historical change in data organization from databases to data warehouses and now toward data lakes, as well as the motivations and use […]
Episode 455: Jamie Riedesel on Software Telemetry
Jamie Riedesel, author of Software Telemetry Book, discusses software telemetry, why telemetry data is so important, and the discipline of tracing, logging, and monitoring infrastructure. Host Gavin Henry spoke with Riedesel about what telemetry is, the different ways to scale it, the tools involved, security and privacy considerations, centralized logging, types of metrics, observability, distributed […]
Episode 398: Apache Kudu with Adar Lieber-Dembo
Adar Lieber-Dembo from Cloudera discusses Apache Kudu, which is a columnar data storage system for fast analytics and fast ingestion of large datasets. Kudu takes its inspiration from systems in the Hadoop ecosystem, but it addresses many of their shortcomings. SE Radio’s Akshay Manchale spoke with Adar about motivations behind building Kudu, features available for […]
SE-Radio Episode 337: Ben Sigelman on Distributed Tracing
Ben Sigelman CEO of LightStep and co-author of the OpenTracing standard discusses distributed tracing, a form of event-driven observability useful in debugging distributed systems, understanding latency outlyers, and delivering “white box” analytics. Host Robert Blumen spoke with Sigelman about the basics of tracing, why it is harder in a distributed system, the concept of tracing […]
SE-Radio Episode 233: Fangjin Yang on OLAP and the Druid Real-Time Analytical Data Store
Fangjin Yang, creator of the Druid real-time analytical database, talks with Robert Blumen. They discuss the OLAP (online analytical processing) domain, OLAP concepts (hypercube, dimension, metric, and pivot), types of OLAP queries (roll-up, drill-down, and slicing and dicing), use cases for OLAP by organizations, the OLAP store’s position in the enterprise workflow, what “real time” […]
