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Staff Software Engineer at Stripe
Joined Jul 2022
Enter the modern data stack: a technology stack designed and equipped with cutting-edge tools and services to ingest, store, and process data. No longer are we using data only to drive business decisions; we are entering a new era where cloud-based systems and tools are at the heart of data processing and analytics. Data-centric tools and techniques — like warehouses and lakes, ETL/ELT, observability, and real-time analytics — are democratizing the data we collect. The proliferation of and growing emphasis on data democratization results in increased and nuanced ways in which data platforms can be used. And of course, by extension, they also empower users to make data-driven decisions with confidence.In our 2023 Data Pipelines Trend Report, we further explore these shifts and improved capabilities, featuring findings from DZone-original research and expert articles written by practitioners from the DZone Community. Our contributors cover hand-picked topics like data-driven design and architecture, data observability, and data integration models and techniques.
Every modern application and organization collects data. With that, there is a constant demand for database systems to expand, scale, and take on more responsibilities. Database architectures have become more complex, and as a result, there are more implementation choices. An effective database management system allows for quick access to database queries, and an organization can efficiently make informed decisions. So how does one effectively scale a database system and not sacrifice its quality?Our Database Systems Trend Report offers answers to this question by providing industry insights into database management selection and evaluation criteria. It also explores database management patterns for microservices, relational database migration strategies, time series compression algorithms and their applications, advice for the best data governing practices, and more. The goal of this report is to set up organizations for scaling success.