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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

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Modernize your data layer. Learn how to design cloud-native database architectures to meet the evolving demands of AI and GenAI workloads.

  1. DZone
  2. Trend Reports
  3. Database Systems
trend report cover image

Database Systems

Modernization for Data-Driven Architectures

In 2024, the focus around databases is on their ability to scale and perform in modern data architectures. It's not just centered on distributed, cloud-centric data environments anymore, but rather on databases built and managed in a way that allows them to be used optimally in advanced applications. This modernization of database architectures allows for developers and organizations to be more flexible with their data. With the advancements in automation and the proliferation of artificial intelligence, the way data capabilities and databases are built, managed, and scaled has evolved at an exponential rate.

This Trend Report explores database adoption and advancements, including how to leverage time series databases for analytics, why developers should use PostgreSQL, modern, real-time streaming architectures, database automation techniques for DevOps, how to take an AI-focused pivot within database systems practices, and more. The goal of this Trend Report is to equip developers and IT professionals with tried-and-true practices alongside forward-looking industry insights to allow them to modernize and future-proof their database architectures.

Published: Jul. 25, 2024

Table of Contents

3
Welcome Letter
4
Key Research Findings: An Analysis of Results from DZone's 2024 Data Engineering Survey
21
Just Use PostgreSQL, a Quick-Start Guide: Exploring Essential and Extended Capabilities of the Most Beloved Database
31
Leveraging Time Series Databases for Cutting-Edge Analytics: Specialized Software for Providing Timely Insights at Scale
38
Real-Time Streaming Architectures: A Technical Deep Dive Into Kafka, Flink, and Pinot
43
Automating Databases for Modern DevOps Practices: A Guide to Common Patterns and Anti-Patterns for Database Automation Techniques
47
Pivoting Database Systems Practices to AI: Create Efficient Development and Maintenance Practices With Generative AI
52
Diving Deeper Into Database Systems
53
Solutions Directory

Featured Authors

Shantanu Kumar
Senior Software Engineer, Amazon
Denis Magda
Software Engineer, Yugabyte
Ted Gooch
Senior Staff Software Engineer, StubHub
Abhishek Gupta
Principal PM, Azure Cosmos DB, Microsoft
Naga Santhosh Reddy Vootukuri
Principal Software Engineering Manager, Microsoft
Anandaganesh Balakrishnan
Principal Software Engineer, American Water
G. Ryan Spain
Automation Advocate, Poet, Machine Learning Enthusiast

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