Curated by Mathew Anthony for those who want to get, keep and grow their customers ... and some trending issues
Sunday, August 31, 2014
An architect's guide: How to use big data
This essential guide shows how organizations are using big data and offers advice for IT professionals working with the technology.
Employees in organizations of all sizes can be faced with the daunting task of figuring out how to use big data and how to best manage it. Some IT professionals are tasked to use technology such as graph databases to crunch large volumes of data. Other developers need to be able to use tools like Hadoop to build systems capable of handling varying flows of data.
This guide brings together a range of stories that highlight examples of how to use big data, management techniques, trends with the technology, and key terms developers need to know.
1The cloud and big data
Techniques for working with big data and the cloud
What is big data? How should it be used? These are two questions people commonly ask when they begin working with large volumes of data. While use cases are evolving, there are some tips and tricks that can be gleaned from success stories.
The following is a collection of articles going over the basics of working with big data.
Organizations are handling more and more data all the time, and a big problem is figuring out how to find an important piece of information in peta-bytes of big data. How can it be done? Cloud based technologies that can burst and grow are becoming the standard solution. Continue Reading
Achieving an affordable database solution that is both scalable and performant has always been a challenge, but Amazon has put scalability and performance within the reach of all sizes of business with their NoSQL solutions that have grown out of their Dynamo based big data systems.Continue Reading
When designing big data applications, an important consideration is whether to use SOA or RESTful APIs to connect big data components and services to the rest of the application. Continue Reading
Popular tools for working with big data
It's difficult to discuss how to use big data and managing large volumes of data without discussing Hadoop, a Java-based framework. Megacorporations like Google and IBM have capitalized on the technology, but that doesn't mean smaller companies don't stand to benefit from it as well.
Read on for technical advice about working with Hadoop.
YARN represents the biggest architectural change in Hadoop since it's inception over seven years ago. Now, Hadoop goes beyond MapReduce to provide scheduled processing while simultaneously processing big data. Continue Reading
MapReduce has matured, and so has Hadoop, and together under the umbrella of YARN, these powerful technologies are working together better than ever to deliver faster and more flexible big data solutions to the enterprise. Continue Reading
Learn about the next steps in big data trends for the enterprise in 2014.Continue Reading
3Big data in marketing
Benefit from harnessing big data
Long gone are the days of marketers scratching their heads to determine ways to use big data to their advantage. Organizations of all sizes are learning the benefits of being able to analyze big data and turn that information into a powerful resource to reach consumers. With this movement comes the need for IT professionals to know how to build systems able to wrangle large volumes of data.
The following is a collection of articles that highlight the basics of using big data in marketing.
Organizations are taking advantage of big data management tools as applications are required to handle a growing volume of data. Continue Reading
4Graph database use cases
Make visual representations with big data
Implementing graph databases is one example of the ways organizations have learned to make meaningful use of big data. While the technology has its roots in social media, there are practical uses for graph databases that extend beyond Facebook. From dating sites to online retailers, the use cases are extensive.
Read on to learn more about big data and graph databases.
Big data is an evolving term that describes any voluminous amount of structured, semi-structured and unstructured data that has the potential to be mined for information. Although big data doesn't refer to any specific quantity, the term is often used when speaking about petabytes and exabytes of data. Continue Reading
Big data analytics is the process of examining large amounts of different data types, or big data, in an effort to uncover hidden patterns, unknown correlations and other useful information. Continue Reading
A graph database, also called a graph-oriented database, is a type of NoSQL database that uses graph theory to store, map and query relationships. A graph database is essentially a collection of nodes and edges. Each node represents an entity and each edge represents a relationship between two nodes. Continue Reading
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Continue Reading
MapReduce is a software framework that allows developers to write programs that process massive amounts of unstructured data in parallel across a distributed cluster of processors or stand-alone computers.Continue Reading