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Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

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AI Automation Essentials. Check out the latest Refcard on all things AI automation, including model training, data security, and more.

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Ted Gooch

Staff Software Engineer at Stripe

US

Joined Jul 2022

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Unlocking Data Insights and Architecture: Data Warehouses, Lakes, and Lakehouses
Explore data management strategies and how they map to various selection criteria such as cost, data volume, data integration, and security and compliance.
October 2, 2023
· 3,599 Views · 2 Likes
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Strategies for Governing Data Quality, Accuracy, and Consistency
It is easier than ever to accumulate data but also challenges remain to ensure complete and correct data is captured. Discover key techniques and methodologies.
September 22, 2022
· 6,832 Views · 1 Like

Refcards

Refcard #382

Getting Started With Apache Iceberg

Getting Started With Apache Iceberg

Trend Reports

Trend Report

Data Pipelines

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.

Data Pipelines

Trend Report

Database Systems

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.

Database Systems

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