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How unified data and analytics offers a new approach to software intelligence

Dynatrace

However, cloud infrastructure has become increasingly complex. Further, the delivery infrastructure that makes this happen has also become complex. For example, users generate user data, ecommerce sites generate business data, and service portals generate service desk tickets and call volume data. But it doesn’t stop there.

Analytics 196
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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

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The Amazing Evolution of In-Memory Computing

ScaleOut Software

Going back to the mid-1990s, online systems have seen relentless, explosive growth in usage, driven by ecommerce, mobile applications, and more recently, IoT. The pace of these changes has made it challenging for server-based infrastructures to manage fast-growing populations of users and data sources while maintaining fast response times.

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The Ultimate Guide to Open Source Databases

Percona

Further, open source databases can be modified in infinite ways, enabling institutions to meet their specific needs for data storage, retrieval, and processing. Non-relational databases: Instead of tables, non-relational (NoSQL) databases use document-based data storage, column-oriented storage, and graph databases.

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Expanding the Cloud: Introducing Amazon QuickSight

All Things Distributed

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Enter Amazon QuickSight.

Cloud 137
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Scalable MicroService Architecture

VoltDB

Think of a monolithic application eCommerce application (albeit, super simplified scope) that has the following modules: Each of these functions could have different utilization levels and to have an entire application to scale to the maximum level is going to be consuming resources incongruent to utilization. Real-World Example Problem.

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Scalable MicroService Architecture

VoltDB

Think of a monolithic application eCommerce application (albeit, super simplified scope) that has the following modules: Each of these functions could have different utilization levels and to have an entire application to scale to the maximum level is going to be consuming resources incongruent to utilization. Real-World Example Problem.