In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
Published By: MarkLogic
Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to:
- Make the world more secure
- Provide access to valuable information
- Create new revenue streams
- Gain insights to increase market share
- Reduce b
Published By: MarkLogic
Published Date: Mar 17, 2015
You’ve probably heard about NoSQL, and you may wonder what it is. NoSQL represents a fundamental change in the way people think about storing and accessing data, especially now that most of the information generated is unstructured or semi-structured data — something for which existing database systems such as Oracle, MySQL, SQLServer, and Postgres aren’t well suited. NoSQL means a release from the constraints imposed on database management systems by the relational database model.
This free eBook, Enterprise NoSQL for Dummies, MarkLogic Special Edition, provides an overview of NoSQL. You’ll start to understand what it is, what it isn’t, when you should consider using a NoSQL database instead of a relational database management system and when you may want to use both. In addition, this book introduces enterprise NoSQL and shows how it differs from other NoSQL systems, as well as explains when NoSQL may not be the right solution for your data storage problem. You’ll also learn the NoSQ
Published By: Datastax
Published Date: Apr 08, 2019
For decades, organizations relied on traditional relational
database management systems (RDBMS) to organize, store, and
analyze their data.
But then Facebook came along, and an RDBMS was suddenly not quite enough. The
social giant needed a powerful database solution for its Inbox Search feature, and
Apache Cassandra—a distributed NoSQL database—was born.
Released as an open source project in July 2008, Cassandra—named after the
mythological prophet who famously put a curse on an oracle—became an Apache
Incubator project in March 2009. It graduated to a top-level project in February 2010
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set:
• Enterprise-class relational database query and management system
• Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools
• Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
Relational database management systems (RDBMSs) are systems of software that manage databases as structured sets of tables containing rows and columns with references to one another through key values. They include the ability to optimize storage, process transactions, perform queries, and preserve the integrity of data structures. When used with applications, they provide the beating heart of the collection of business functions supported by those applications. They vary considerably in terms of the factors that impact the total cost of running a database application, yet users seldom perform a disciplined procedure to calculate such costs. Most users choose instead to remain with a single vendor's RDBMS and never visit the question of ongoing hardware, software, and staffing fees.
This white paper, based on a survey of database professionals, examines the problems facing many large businesses that are attempting to remain agile while dealing with a mountain of data under management.
Sybase's Adaptive Server® Enterprise (ASE) is a high performance relational database management system for mission-critical, data intensive environments that has been meeting these needs for nearly three decades.
This webcast discusses the technical benefits of Sybase ASE's compression technology. Watch the recording to learn more and to hear about use cases, strategies for data migration and a look at the performance implications.
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
Published By: MarkLogic
Published Date: Dec 03, 2014
So many people are realising that yesterday’s technology can’t support today’s fast-changing data and are turning to a new generation of database: NoSQL.
NoSQL makes it easy to consolidate your heterogeneous data and consolidate disparate data silos because you don’t need to make data conform to the row-and-column restrictions of relational technology.
Get a head start and download Enterprise NoSQL for Dummies and discover:
• The NoSQL lingo
• What it does and how it works
• How it can be used
• Tips for what to look for in an Enterprise NoSQL database
Go beyond relational and learn how NoSQL allows you to build applications with greater ease and speed!