What is Big Data?
Big data is a combination of structured, semi structured, and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modelling and other advanced analytics applications. Systems that process and store big data have become a common component of data management architectures in organizations. Big data is often characterized by the 3Vs: the large volume of data in many environments, the wide variety of data types stored in big data systems and the velocity at which the data is generated, collected and processed. These characteristics were first identified by Doug Laney, then an analyst at Meta Group Inc., in 2001; Gartner further popularized them after it acquired Meta Group in 2005. More recently, several other Vs have been added to different descriptions of big data, including veracity, value and variability. Although big data doesn’t equate to any specific volume of data, big data deployments often involve terabytes (TB), petabytes (PB) and even exabytes (EB) of data captured over time.
Big Data Solutions
Big Data engineering is a complex and constantly changing ecosystem, and choice of platform impacts the business value derived from your data. Indium understands that even Top Enterprises would find it challenging to identify the right combination of tools & technologies from the explosion of choices available in the Big Data ecosystem.
Open source Hadoop distributed processing technologies have made it practical and affordable to perform computations on big data resources like web server log files, call data records, sensor logs, photographic archives, and social media content. IT shops still face a steep challenge in operationalizing big data, ideally in the form of reusable big data services that can be called as needed by systems and applications across the enterprise. Hadoop’s technologies are foreign to most data analysts, and packaged data service solutions from the traditional proprietary vendors are prohibitively expensive.
IT Researches, helps IT teams meet the big data services challenge with open source solutions that make big data services development easy and economical.
As your trusted partner, IT Researches will work to help you bring order to your Big Data. With proven expertise in mature technologies and thought leadership in those that are emerging, our team of senior-level consultants will help you implement the technologies you need to manage and understand your data – allowing you to predict customer demand and make better decisions faster than ever before. Whatever your Big Data challenges are, we’ll provide you the strategic guidance you need to succeed.
Hadoop Ecosystem Technologies:
Our services include:
• Expert MarkLogic Implementations
• Hadoop solutions designed by Hadoop-certified consultants
• Big Data Analytics
• Business-level Big Data strategy consulting
How can data drive your business forward?
Dealing with numerous application or web logs can often feel like finding a needle in a haystack. You’ll find the greater insight into your customer usage and operations opens new doors to respond quickly to changing market conditions.
Learn how to increase the click-through rates of your advertising, or drive better engagement in your social game world by gaining insight into your customers. Integrating data from various sources to help drive more relevant search results, better placed ads or balance your in-game economy.
Whether you need to recommend ‘books that other people bought’, or deliver more accurate suggestions for investment based on market performance, recommendation engines can take your existing and historical data and drive new business opportunities and features.
Your Big Data is growing, and with our help, you can put it to work to grow your bottom line. To learn more about what Big Data can do for you, please contact us at email@example.com.