Shared MongoDB hosting is one of the most cost-effective and easy-to-setup options for deploying MongoDB in the cloud, and is used by thousands of companies around the world to host their databases. In this post, we outline the top five benefits of using shared MongoDB hosting to help you decide whether it's the right for your business. Shared MongoDB hosting plans are … [Read more...] about Top 5 Benefits of Shared MongoDB Hosting
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.
7 Ways Cloud Technology & Big Data Are Changing Supply Chain Management
The discipline of supply chain management has changed radically over the past few years. It's a role that's only a few decades old, but it's already transformed business processes around the globe. From procuring raw materials needed in manufacturing and production to ensuring smooth and timely delivery to the customer, today's supply chain manager has a multifaceted role ” and … [Read more...] about 7 Ways Cloud Technology & Big Data Are Changing Supply Chain Management
The Future of Social Media Data and Marketing
Here's an interesting tidbit regarding social media, big data, and marketing: the projection for 2018 was that brands would be spending 20 percent of their marketing budgets on social media. Has that prediction held out? The fact is it hasn't. The 2018 CMO survey indicates that brands are dedicating nearly 14 percent of their marketing budgets to social media. That's an … [Read more...] about The Future of Social Media Data and Marketing
How the Hospitality Industry Uses Performance-enhancing Artificial Intelligence and Data Science
Gone are the days when having a personal computer or a smartphone connected to the Internet conferred bragging rights. Digital technology is getting more and more accessible, influencing how people work, relax, and plan their vacations. People's expectations for a hotel experience have grown, and hoteliers had better keep pace with innovation. Let's imagine you have to choose … [Read more...] about How the Hospitality Industry Uses Performance-enhancing Artificial Intelligence and Data Science
The Difference Between Big Data and Identity Theft
On the flight back from the London Big Data Week, tasked with writing an article about the rise of identity theft, I had a rare moment of insight where the two topics suddenly presented themselves as two aspects of the same phenomenon. One of the primary values of working with Big Data, after all, is that one may use insights drawn from one aspect of consumer behaviour to drive … [Read more...] about The Difference Between Big Data and Identity Theft
+
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.
