Big data comes with a lot of new terminology that is sometimes hard to understand. Therefore we have created an extensive Big Data glossary that should give some insights. Some of the definitions refer to a corresponding blog post. Of course this big data glossary is not 100% complete, so please let us know if there are missing terminology that you would like to see … [Read more...] about An Extensive Glossary Of Big Data Terminology
Big Data
Learn everything you need to know about big data. Find out how companies are using this revolutionary technology and what it means for your business strategy.
The Arms Race For Big Data Continues – Video
The arms race for data continues with the NSA building the largest data centre in the world. Experts say that the data centre is capable of holding up to a yottabyte of data. That is 1 trillion terabyte of data or compared to a 16 gigabyte iPhone, the facility can store the data of 64 trillion iPhones. Laid end-to-end, that amount of iPhones could stretch to the moon and back … [Read more...] about The Arms Race For Big Data Continues – Video
TransMetrics Brings Big Data To The Transport Industry
Company TransMetrics Address 1ul. Krum Popov 56-58, 1421 Sofia, Bulgaria Founders Asparuh Koev, Anna Shaposhnikova, Rado Nikolov & Alexander Petkov Founded March 2013 Funding 50k EUR Employees 7 Website www.TransMetrics.eu Rating 5 bits TransMetrics is a new big data startup from Europe and they focus solely on the 5.4 trillion transport and logistics … [Read more...] about TransMetrics Brings Big Data To The Transport Industry
How Engine Yard Applies Big Data To Improve Customer Application Performance
This use case was provided by AppFirst. Engine Yard is a leading Platform-as-a-Service (PaaS) provider from San Francisco who partners with their customers to plan, build, deploy, manage and scale applications in the cloud. Engine Yard delivers a trusted, complete platform solution that enables customers to focus on their core business of creating applications (SaaS) rather … [Read more...] about How Engine Yard Applies Big Data To Improve Customer Application Performance
4 Benefits For The Public Sector When Governments Start Using Big Data
Government services, or the public sector, are known for creating large volumes of data. Big data thus provides plenty opportunities for governments to save a lot of public money. According to the UK free market think thank Policy Exchange, the UK government could save up to 33 billion a year by using public Big Data more effectively. McKinsey has investigated that the … [Read more...] about 4 Benefits For The Public Sector When Governments Start Using Big Data
What is big data?
Big data is a term that refers to the massive amount of digital data created and shared every day. Big data can transform how we live, work, and communicate. It can be used to improve everything from public health and urban planning to business and marketing.
Big data is also changing the way we think about privacy and security. The volume, velocity, and variety of big data present challenges and opportunities for organizations and individuals. Regardless, big data is here to stay, and its impact will only continue to grow in the years to come.
What is big data analytics?
Big data analytics is the process of turning large, complex data sets into actionable insights. Businesses use various analytical tools and techniques, including machine learning and statistical analysis, to do this.
Big data analytics can be used to improve decision-making in areas like marketing, operations, and customer service. It can also be used to identify new business opportunities and optimize existing processes. With the help of big data analysis, businesses can gain a competitive edge by using their data better.
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When was big data introduced?
The term big data was coined in the 1990s, with some giving credit to John Mashey for popularizing the term. However, the concept of big data has been around for much longer.
Where does big data come from?
In the early days of computing, scientists and businesses began to realize that the amount of data being generated was increasing exponentially. As a result, they began to develop new methods for storing and processing data.
Over time, these methods have become increasingly sophisticated and have played a key role in enabling businesses to make sense of vast amounts of information. Today, big data is used in various industries, from retail to healthcare, and its importance is only likely to grow in the years to come.
What are examples of big data?
One of the most common examples of big data is social media data. With over 2 billion active users, Facebook generates a huge amount of data every day. This includes information on user interactions, posts, and even location data. Analyzing this data can help companies better understand their customers and target their marketing efforts.
Another example of big data is GPS signals. These signals are constantly being generated by devices like cell phones and fitness trackers. When combined with other data sets, GPS signals can be used to provide insights into everything from traffic patterns to human behavior. Finally, weather patterns are another type of big data set. By tracking these patterns over time, scientists can better understand the impact of climate change and develop strategies for mitigating its effects.
How do companies use big data?
Companies use big data in marketing, product development, and customer service. By analyzing large data sets, businesses can identify patterns and trends that would be otherwise difficult to spot. For example, a company might use big data to track customer behavior patterns to improve its marketing efforts.
Alternatively, a company might use big data to improve its products by identifying areas where customers are most likely to experience problems. For instance, big data can be used to improve customer service by finding pain points in the customer journey. Ultimately, big data provides companies with a valuable tool for gaining insights into their business operations.