Big Data

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Characteristics of a Big Data Analysis Framework

Even though new sets of tools continue to be available to help you manage and analyze your big data framework more effectively, you may not be able to get what you need. In addition, a range of technologies [more…]

Identify the Data You Need for Your Big Data

Take stock of the type of data you are dealing with in your big data project. Many organizations are recognizing that a lot of internally generated data has not been used to its full potential in the past [more…]

The Fundamentals of Big Data Integration

The fundamental elements of the big data platform manage data in new ways as compared to the traditional relational database. This is because of the need to have the scalability and high performance required [more…]

How to Prioritize Big Data Quality

Getting the right perspective on data quality can be very challenging in the world of big data. With the majority of big data sources, you need to assume that you are working with data that is not clean [more…]

How to Incorporate Big Data Into the Diagnosis of Diseases

Across the world, big data sources for healthcare are being created and made available for integration into existing processes. Clinical trial data, genetics and genetic mutation data, protein therapeutics [more…]

How to Integrate Big Data

Just having access to big data sources is not enough. You will need to integrate these sources. Soon there will be petabytes of data and hundreds of access mechanisms for you to choose from. But which [more…]

How to Ensure the Validity, Veracity, and Volatility of Big Data

High volume, high variety, and high velocity are the essential characteristics of big data. But other characteristics of big data are equally important, especially when you apply big data to operational [more…]

The Economics of Big Data

The best way to understand the economics of big data is to look at the various methods for putting big data to work for your organization. While specific costs may vary due to the size of your organization [more…]

How to Create a Big Data Implementation Road Map

Big data implementation plans, or road maps, will be different depending on your business goals, the maturity of your data management environment, and the amount of risk your organization can absorb. So [more…]

Security Considerations with Big Data

While companies are very concerned about the security and governance of their data in general, big data initiatives come with certain complexities and unforeseen issues that many companies are not prepared [more…]

How to Develop a Well-Governed and Secure Big Data Environment

A thoughtful and well-governed approach to security can succeed in mitigating against many security risks. You need to develop a secure big data environment. One thing that you can do is to evaluate your [more…]

Four Stages of Business Planning with Big Data

What does the business plan hope to achieve by leveraging big data? This is not an easy question to answer. Different companies in different industries need to manage their data differently. But some common [more…]

How to Use Big Data Analytics to Increase Customer Loyalty

Once you gather your big data, what is your next step? Today customer loyalty is paramount because the customer is in the driver’s seat when it comes to making a choice about how to interact with a service [more…]

Big Data Resources

You will find lots of resources that can help you start making sense of the big data world. Standard organizations are tackling some of the key emerging issues with getting data resources to work together [more…]

Improve the Customer Experience with Big Data Analytics

The big data that can make a difference in how companies satisfy their customers and partners is not necessarily in traditional databases any more. The value of unstructured data from nontraditional sources [more…]

RDBMSs in a Big Data Environment

Big data is becoming an important element in the way organizations are leveraging high-volume data at the right speed to solve specific data problems. Relational Database Management Systems are important [more…]

Text Analytics for Unstructured Big Data

Numerous methods exist for analyzing unstructured data for your big data initiative. Historically, these techniques came out of technical areas such as Natural Language Processing [more…]

The Creation of Manageable Big Data Structures

As computing moved into the commercial market, data was stored in flat files that imposed no structure. Today, big data requires manageable data structures. When companies needed to get to a level of detailed [more…]

Big Data Web and Content Management

Big data requires a consistent approach to Web and content management. It’s no secret that most data available in the world today is unstructured. Paradoxically, companies have focused their investments [more…]

Data Management for Big Data

Is big data really new or is it an evolution in the data management journey? It is actually both. As with other waves in data management, big data is built on top of the evolution of data management practices [more…]

What is Big Data?

Big data is not a single technology but a combination of old and new technologies that helps companies gain actionable insight. Therefore, big data is the capability to manage a huge volume of disparate [more…]

How to Set the Architectural Foundation for Big Data

It is important to lay a strong architectural foundation if you want to be successful with big data. In addition to supporting the functional requirements, it is important to support the required performance [more…]

Performance Matters in Big Data Architectural Management

Your big data architecture also needs to perform in concert with your organization’s supporting infrastructure. For example, you might be interested in running models to determine whether it is safe to [more…]

Traditional and Advanced Analytics for Big Data

What does your business now do with all the data in all its forms? Big data requires many different approaches to analysis, traditional or advanced, depending on the problem being solved. Some analyses [more…]

Time Requirements for Big Data

A primary consideration when undertaking a big data project is the projected amount of real-time and non-real-time required to carry out your initiative. Big data is often about doing things that weren’t [more…]


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