A data lake is a central location in which to store all your data, regardless of its source or format. It is typically, although not always, built using Hadoop. The data can be structured or unstructured. You can then use a variety of storage and processing toolstypically tools in the extended Hadoop ecosystemto extract value quickly and inform key organizational … [Read more...] about What is a Data Lake and What Are the Benefits?
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.
The Missing Link between Big Data Intelligence and Decision-Making
Big data intelligence is considered the Holy Grail of decision-making in business today. As far back as 2013, some 78% of US business leaders surveyed agreed with the statement that, If we could harness all of our data, we'd be a much stronger business. Indeed, it takes a lot more than having a large amount of readily available even real-time information to unlock better, … [Read more...] about The Missing Link between Big Data Intelligence and Decision-Making
Statistics Denial Myths #13-14, Minimizing The Profession
"Leo Breiman was still a statistician, and while he critiques parts of his profession he's not dismissing the importance of statistics. Â The same can be said for David Donoho's excellent recent article, "50 Years of Data Science." Â The fact that some statisticians have too narrow a scope in no way diminishes the validity and importance of statistics to good decisions and valid … [Read more...] about Statistics Denial Myths #13-14, Minimizing The Profession
How Big Data Takes on Big (Boob) Problems
Big Data application comes in many shapes and sizes and the Big Data Bra is Big Data wrapped in the silk and latex of lingerie. It starts with a simple problem We have come a long way, from corsets and elastic superstructures. The width and breadth of materials and configurations are overwhelming today and surpassed only by the running shoe industry in the utilitarian fashion … [Read more...] about How Big Data Takes on Big (Boob) Problems
5 Things You Need to Know about Big Data for 2017
Big Data made a Big Difference in the biggest story of the year the US Presidential election. Although President-Elect Trump had pooh-poohed the impact of Big Data, he rallied a last minute expert team in the summer prior that just may have made the difference. Using digital targeting, the strategy collected information from online and offline sources to find potential voters. … [Read more...] about 5 Things You Need to Know about Big Data for 2017
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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.
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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.
