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Application Modernization for High-Volume Workloads with DataStax
Executive summary
Summary
Introduction
Intended audience
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The promise of application modernization DataStax Enterprise overview Solution architecture Performance results Summary Resources Appendix A

Introduction

Home > Workload Solutions > Data Analytics > White Papers > Application Modernization for High-Volume Workloads with DataStax > Introduction

Introduction

  • Data is the engine that drives today’s business. Advances in technology have given enterprises the ability to capture more data than ever before, from real-time data generated by thousands or even millions of Internet of Things (IoT) devices to customer-data generated by social-media advertising campaigns. Yet the exponential growth of data and the reliance on legacy data models can hamper growth and negatively impact data-driven organizations. Traditional relational database management systems (RDMSs) have a proven track record of providing critical answers to business questions when data is highly structured. But data models that rely on rigid schemas can be a hindrance as more data becomes unstructured. The breadth and depth of data sources require systems that can handle various datatypes, such as text, documents, images, and video.

    DataStax Enterprise, built on Apache Cassandra, offers a scalable, highly available NoSQL database solution that can be scaled on premises and across data centers, cloud providers, and regions. The distributed nature of DataStax Enterprise means that organizations can deploy fault-tolerant databases that can manage high-velocity unstructured and semistructured data while providing high performance and 100 percent uptime. Dell Technologies, Intel, and DataStax have partnered to provide organizations with highly available and security-enabled Apache Cassandra solutions that can handle the largest data growth and the greatest processing needs across most industries.

    This white paper discusses the following topics:

    • The challenges of application modernization and managing large datasets
    • How DataStax Enterprise can help organizations modernize legacy applications and manage increasing data volumes
    • A brief overview of the Apache Cassandra architecture, DataStax Enterprise cluster management, and the DataStax Kubernetes Operator for Apache Cassandra (Cass Operator)
    • A DataStax Enterprise solution architecture that Dell Technologies, Intel, and DataStax used to test DataStax Enterprise performance
    • The results of the DataStax Enterprise performance test