For information consumers, constant communicators and internet junkies everywhere, unlimited mobile data is a pass to unlimited playtime. Its like unlimited crack for the addict. For data scientists, analysts and marketers, the words unlimited mobile data spark raised eyebrows. Unlimited data, by its very nature, makes for limitless possibilities. How its use will pan out is, … [Read more...] about The Dark (and not-so-dark) Side of Mobile 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.
5 Major Big Data Predictions for 2017
Big data is, well, big business. It's believed over the next four years, over two billion people will be utilizing personal cloud storage at a capacity of 1.7 gigabytes per user per month. The cloud will gradually become the standard method of storage for both personal and professional needs, minimizing the use of everything from physical servers to flash drives. The cloud is … [Read more...] about 5 Major Big Data Predictions for 2017
Why Creativity is Crucial in Data Science
Data science might not be seen as the most creative of pursuits. You add a load of data into a repository, and you crunch it the other end to draw your conclusions. Data in, data out, where is the scope for creativity there? It is not like you are working with a blank canvas. For me, the definition of creativity is when you are able to make something out of nothing. This … [Read more...] about Why Creativity is Crucial in Data Science
Attackers Can Intercept Data From CouchDB and Hadoop Databases
Is Your Big Data Vulnerable? The year 2017 started on a dramatic Hollywood-style note for a few database-service providers. In a series of events, some database became victim of ransomware. This raised questions about the security of cloud-based databases which has been the biggest drawback of cloud so far. MongoDB and Elasticsearch Fell Victim In what seemed to be a hacking … [Read more...] about Attackers Can Intercept Data From CouchDB and Hadoop Databases
Understanding the Human Side of Big Data
The idea of "Big Data" has generated a lot of hype, especially in recent years as the variety of data sources increases and affordable new data tools appear. While success with big data analytics is not guaranteed, the chance for discovering operational improvements from your own data still makes it attractive. It's been estimated that a large retailer can increase margins by … [Read more...] about Understanding the Human Side of 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.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
+
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.
