The UK's largest data & analytics conference and exhibition, Big Data LDN (London), have recently announced Chris Wylie will headline their 2019 keynote programme. The New Yorker calls him a pink-haired, nose-ringed oracle sent from the future . Best known for his role in setting up “ and then taking down “ the cyberwarfare firm Cambridge Analytica, Chris has been listed in … [Read more...] about Cambridge Analytica whistleblower Chris Wylie to headline Big Data LDN 2019 keynote programme
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.
Which Is the Best PostgreSQL GUI? 2019 Comparison
PostgreSQL graphical user interface (GUI) tools help these open source database users to manage, manipulate, and visualize their data. In this post, we discuss the top 5 GUI tools for administering your PostgreSQL deployments. PostgreSQL is the fourth most popular database management system in the world, and heavily used in all sizes of applications from small to large. The … [Read more...] about Which Is the Best PostgreSQL GUI? 2019 Comparison
8 Data Science Conferences to Attend in 2020
If you're one of those people that's still living in 2019, take a look at my post 7 Data Science Conferences to Attend in 2019. If you're like me and already thinking about what'll be happening in 2020, here's a list of 8 data science conferences to attend. I've tried to make them different than the list I made for 2019, as most conferences tend to occur every year, but some … [Read more...] about 8 Data Science Conferences to Attend in 2020
How Data Translation is Becoming a Problem in Manufacturing
The manufacturing industry relies heavily on 3D computer-aided design (CAD) files created by design and engineering teams. Some manufacturers handle the entire process internally (a company handling both design and production) or across different companies. In the latter scenario, there is always a probability that different workflows come into play between the client … [Read more...] about How Data Translation is Becoming a Problem in Manufacturing
5 ways Data Analytics is a Game Changer for the Insurance Industry
We are in the age of Big Data' and while it is becoming a big business in the emerging technological world, let us understand and get a deeper insight on what Data Analysis basically is. Data Analysis is a process through which we intensively inspect, transform, and model unstructured data, reducing it to a structured form. This is done with the intent of discovering useful … [Read more...] about 5 ways Data Analytics is a Game Changer for the Insurance Industry
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.