With the advent of IoT will come a massive demand for storage for Big Data. According to Forbes, once IoT gets underway we're likely to be flooded with data coming from IoT devices. While this is a valid concern, the fact of the matter is that Big Data is a perfect match for IoT and as more and more companies adopt the IoT standard, Big Data will come to play a huge part in how … [Read more...] about How Will IoT Impact Big Data?
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.
Why Organisations Nowadays Want an Analytics Platform
With the nascent stage of the data revolution past us, organisations are entering a new level of proficiency in handling data expertly. Gone are the days when organisations could handle data and extract insights out of it, without the presence of an analytics platform. The importance of enterprise analytics platforms has grown over time, to such an extent that they are … [Read more...] about Why Organisations Nowadays Want an Analytics Platform
The Future of the Application Stack – Kubernetes, PaaS & DBaaS
Containers are eating the world. If you have built and deployed an application in production over the last few years, the odds are that you have deployed your code in containers. You might have created and deployed individual containers (Docker, Linux LXC, etc.) directly in the beginning, but quickly switched over to a container orchestration technology like Kubernetes (K8s) … [Read more...] about The Future of the Application Stack – Kubernetes, PaaS & DBaaS
How Fraud Analytics Can Protect the Banking Sector
Business transaction data is a huge part of any bank's functioning and is managed and stored by IT systems. Business processes are supported by these IT systems. With these IT systems in pace, the level of human interaction has drastically reduced. This, in turn, has become a huge reason for fraud to occur. Automated controls are used to keep frauds in check. Identifying an … [Read more...] about How Fraud Analytics Can Protect the Banking Sector
How ad-hoc analysis has become the fast food of BI
The ad hoc promise In a world where businesses live or die on data, self-serve BI is the information super-food we've been waiting for. Or so the rhetoric around this popular tool would have us believe. Also known as data exploration, exploratory data analysis, data discovery and ad hoc reporting, self-serve BI has many names, but one big promise: to radically reduce the time … [Read more...] about How ad-hoc analysis has become the fast food of BI
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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.
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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.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
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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.
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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.
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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.
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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.
