5G means blazing speed, and many believe it to be the next big thing in internet connectivity. The current generation of internet connectivity like 4G LTE (Long Term Evolution) has been around for quite some time and offers 1GB per second; at the same time, 5G technology can deliver speeds up to 20 GB per second. The 5G technology has been deployed in some nations, while others … [Read more...] about Is the world 5G ready for IoT and Big Data capabilities?
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.
New EPFL Algorithm Developed and Found in Deep Learning Software
PyTorch, an open-source machine learning library is majorly used for applications related to natural language processing (NLP) and computer vision. More so, this library is a powerful player in the field of artificial intelligence (AI) and deep learning and is projected as a research-first library. Still, have doubts? This library has been utilized for multiple functions such … [Read more...] about New EPFL Algorithm Developed and Found in Deep Learning Software
Improve Data Architecture With an Operational Data Store
Businesses today face a common dilemma: How does one make sense of all gathered data and transform them into useful insights that will help in decision making? Data's prominence in today's business processes has made it a core element in every organization's success. Companies should either keep up or get left behind as forward-thinking ones grab opportunities presented by the … [Read more...] about Improve Data Architecture With an Operational Data Store
An Often-Neglected Data Science Budget Item
It is natural to get excited about the prospect of building and deploying an interesting and high impact new data science process. Unfortunately, you have to also put effort into some less exciting aspects of such an endeavor. One item that is often underestimated and neglected, if not omitted, is ongoing maintenance costs for a new process. This blog discusses why we got away … [Read more...] about An Often-Neglected Data Science Budget Item
5 Ways Economic Data is Permanently Changing the Stock Market
For many years, investors have tried to find clever approaches to outperform the stock market. Unfortunately, very few investors are able to consistently beat the S&P and other benchmarks. New advances in big data have given many investors hope that they can increase their returns considerably. A team of researchers from Manipal Institute of Technology in India recently … [Read more...] about 5 Ways Economic Data is Permanently Changing the Stock Market
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.