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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

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

Secure your stack and shape the future! Help dev teams across the globe navigate their software supply chain security challenges.

Releasing software shouldn't be stressful or risky. Learn how to leverage progressive delivery techniques to ensure safer deployments.

Avoid machine learning mistakes and boost model performance! Discover key ML patterns, anti-patterns, data strategies, and more.

Look Inside
DZone's Guide to

Big Data: Volume, Variety, and Velocity

Big data is the new competitive advantage and it is necessary for businesses. With the growing proliferation of data sources such as smart devices, vehicles, and applications, the need to process this data in real-time and to deliver relevant insights is more urgent than ever. The 2019 Guide to Big Data will explore tools and ecosystems for analyzing big data and relevant use cases ranging from sustainability science to autonomous vehicles.

Free 37-page ebook
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6.9K

Table of Contents

3
Executive Summary
4
Key Research Findings
7
Navigating the Distributed Data Pipelines: An Overview and Guide for Your Performance Management Strategy
9
Big Data Building Blocks: Selecting Architectures and Open-Source Frameworks
12
Spark as a Fundamental Open-Source Big Data Technology
16
Big Data in the Renewable Energy Sector
18
Python and HDF5 for Machine Learning
22
Autonomous Cars, Big Data, and Edge Computing: What You Need to Know
24
2019 Executive Insights on Big Data
26
Big Data Solutions Directory
37
Diving Deeper Into Big Data
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Featured Authors

Arjuna Chala
Sr. Director of Innovation and Emerging Technology, LexisNexis Risk Solutions
Adi Polak
Cameron Laird
Christopher Lamb
Distinguished Member of Technical Staff, Sandia National Laboratories
Jo Stichbury
Writer, Developer, Scientist. Dereferences NULL.
Shivnath Babu
Tom Smith
Help companies use data and technology to improve UX/CX while reducing costs.

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