Browse our white papers to get a thorough grounding in big data issues; enabling technologies, including NoSQL and Apache Cassandra; business and technical benefits; solution descriptions and much more.
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This business paper explores how DataStax Enterprise makes it easy for Internet Enterprises to run operational analytics on data stored in Cassandra, and integrate insights with historical Hadoop data warehouses/lakes. By leveraging data collected from operational (transactional) systems organizations you can achieve fast time-to-insight so that online applications can lead to better business.
Applications that succeed in today’s digital, Internet economy age are those that interact intelligently with the end customer in specifically tailored and personalized ways, benefitting both the customer and the underlying business. Explore the key five application requirements that an underlying data management platform must provide to enable today’s Web and mobile applications that quickly make new customers and keep them coming back.
This paper defines the “Internet Enterprise” and discusses radical changes in technology DNA that Internet Companies created. Learn how to transform your traditional business to an Internet Enterprise and understand how all forward-looking companies need to challenge long-held assumptions about how they develop and deliver products and services with an eye toward competitive edge.
This white paper outlines the reference architecture of Apache Cassandra™ and DataStax Enterprise (DSE) and establishes a starting point for users who are contemplating different hardware choices to host DSE. This document also provides good guidance for System Architects and System Administrators during the planning stages of development, test and production environments, whether in-house or at a private or public data center.
This document provides best practice guidelines for designing, deploying, and managing DataStax Enterprise (DSE) database clusters. Although each application is different and no one-size-fits-all set of recommendations can be applied to every situation, the information contained in this paper summarizes techniques proven to be effective for several DataStax customers who have deployed DataStax Enterprise in large production environments.
DataStax Enterprise 4.0 introduces a new in-memory option that brings the power and flexibility of Cassandra to an in-memory database. This paper discusses a number of performance tests performed by DataStax with the in-memory option along with recommendations on when and when not to use 4.0’s in-memory tables.
This paper discusses the new features delivered in version 4.0 of DataStax Enterprise. For more general information on NoSQL and NoSQL use cases, as well as an introduction to DataStax Enterprise, please see the “Why NoSQL?” and “DataStax Enterprise” white papers on DataStax.com.
This white paper provides general guidelines on how DataStax Enterprise can help organizations comply with SOX using its robust security features, including access control and auditing capabilities.
Today’s online debit, credit and pre-paid card applications need always-on, disaster-proof database technology along with the enterprise security necessary to meet tough industry standards. This paper examines how DataStax Enterprise, powered by the Apache Cassandra™ database, meets these needs in one integrated solution.
This document details the configuration set-up for DataStax Enterprise (DSE) on
the Dell PowerEdge R-Series servers. The intended audiences for this document are customers and solution architects looking for information on configuring DSE clusters within their information technology environment for “always on” transaction processing.
Managing and optimizing the performance of a widely distributed database that is comprised of many individual servers can be very challenging. This paper discusses how DataStax OpsCenter can be used to greatly simplify the task of administering one or many Apache Cassandra™ and DataStax Enterprise database clusters, whether those clusters are deployed on premise or in the cloud.
This paper looks at why NoSQL technology like Apache Cassandra™ / Datastax Enterprise is quickly becoming the first and best database choice over Oracle for online applications, providing guidelines for when a legacy RDBMS like Oracle should be used and when NoSQL is required.
Version 2.0 of Apache Cassandra delivers more features and functionality for developers who are coming from relational databases (RDBMS’s), and reduces the amount of manual coding time needed for creating modern, data-driven applications.
This paper, written with a blend of information for the line-of-business manager and the IT professional, discusses the five key rules of great ecommerce and the changes they require in your database infrastructure.
DataStax Enterprise 3.1 continues to provide the most comprehensive security feature set of any NoSQL solution provider. This paper details the enhancements you’ll find in DataStax Enterprise Edition 3.1.
This paper provides a general enterprise implementation strategy for NoSQL by exploring the key reasons why enterprises are turning to NoSQL solutions and providing examples of how modern businesses are using the technology today.
Explore the enhancements to version 3.0 of DataStax Enterprise Edition, which include comprehensive data security features and improved enterprise manageability.
Learn how End Point Corporation, a database and open source consulting company, benchmarked the top NoSQL databases – Apache Cassandra, Apache HBase, and MongoDB – using a variety of different workloads on AWS and see the results.
Learn about the six most common reasons NoSQL databases are being deployed today and how Apache Cassandra™ and DataStax Enterprise serve those use cases.
Get a solid grounding in why multiple data center databases are fast becoming the new norm for database operations, along with what characteristics a database must have to run simultaneously across many data centers and the cloud.
Get a high-level examination of the why’s and how’s of migrating from Oracle’s MySQL to more capable big data technologies, such as Apache Cassandra™ and Apache Hadoop™.
This paper surveys the emerging class of applications that require new data-management foundations and the technology implications of those requirements.
This paper examines the growing prevalence of big data across nearly every industry and explains why its effective use is critical for firms that want to compete in their chosen market.
Cut through the clutter of varying NoSQL solutions and examine essential characteristics successful enterprise deployments share in common.
Learn about Apache Cassandra, the NoSQL database designed for big data applications that require high performance, massive scale and continuous availability.
Get an overview of the key characteristics required when moving data-intensive applications to the cloud and how Apache Cassandra stacks up to other database alternatives in that regard.