People who have rudimentary knowledge about technology would be well-aware of the concept of artificial intelligence. But this is a very broad term; if we break it down, then it boils down to the basic concept : Machine learning Artificial intelligence Although both these terms are used interchangeably, the fact of the matter is that both these are varied terms. If I have to … [Read more...] about What is the difference between deep learning and usual machine learning?
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.
A Detailed Guide to Using Entity Resolution Tools for Enterprise Projects
Dirty, unstructured structured data, dozen-plus name variations, and inconsistent field definitions across disparate sources. This can of worms is an almost staple occupational hazard for any data analyst working on a project involving thousands of records. And the implications are anything but ordinary: Global financial institutions were fined $5.6 billion in penalties from … [Read more...] about A Detailed Guide to Using Entity Resolution Tools for Enterprise Projects
5 Ways Freelancers Embrace Digital Transformation
With the increasing appeal of the gig economy, a greater number of people have become attracted to the advantages that a freelancing career is capable of providing, and technology will no doubt make things easier for those who prefer flexible hours that don't involve working in an office environment. However, as innovations become more sophisticated, freelancers (including … [Read more...] about 5 Ways Freelancers Embrace Digital Transformation
Why Big Data is Crucial for Agricultural Growth
Big data in agriculture can be described as a combination of farming technology and analytics for faster and more effective information collection and processing to assist farmers with making the right decisions. Utilizing the possibilities big data offers, growers contribute to the overall shift of agriculture to precision and sustainability. Big data allows for capturing … [Read more...] about Why Big Data is Crucial for Agricultural Growth
AWS Data Exchange webinar: How Yum! Brands uses location data from Foursquare to make smarter decisions
You are invited! Join AWS Data Exchange to learn how data-driven companies are integrating third-party location data to improve where they open new business or enhance in-app features. WHEN: May 6th | 11:00 AM PT (2:00 PM ET) Join this webinar to discover how Yum! Brands and other organizations are leveraging location-based data to boost in-app location accuracy, increase … [Read more...] about AWS Data Exchange webinar: How Yum! Brands uses location data from Foursquare to make smarter decisions
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.