The four Vs. If youre reading this post, chances are good you know what they stand for. In the off-chance you dont, they represent volume, variety, velocity, and value. The first three are relatively quantifiable. The fourth, however, is a bit less tangible, less quantifiable, and as a result it makes it hard to associate a solid ROI to the concept of Big Data usage. This in … [Read more...] about Five Factors to Consider for Your Big Data Initiative
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 Surprising Effects Of Global Health Data – Video
The biggest problem in Global Health Data is that the data they are looking for is not available. It is unknown which clinics in the developing world have which and how many medicines. It is unknown how many children were born or died in Bolivia, Botswana or Butan. It is unknown what the needs of the elderly are, basically they know nothing because the IT systems to find the … [Read more...] about The Surprising Effects Of Global Health Data – Video
Aerospike Developed a High-Performance NoSQL Database
Company Aerospike Address 2525 E. Charleston Road, Suite 20 Mountain View, CA 95125, USA Founders Brian Bulkowski & Srini Srinivasan Founded 2009 Funding Undisclosed Employees 40 Website www.Aerospike.com Rating 7 bits Aerospike Database is a Key-Value Store and high performance real-time NoSQL (flex-schema) database. It was designed from the ground up in … [Read more...] about Aerospike Developed a High-Performance NoSQL Database
Cooking with Big Data
When you think of Big Data, the types of companies using it are probably technology based, perhaps in the finance sector, marketing, websites, and anyone else that needs to process their structured, semi structured, or unstructured data for insights. But what about offline businesses? They probably have a website, but their business transactions are typically done face to … [Read more...] about Cooking with Big Data
The Beauty Is In Big Data Visualizations
Raw data is essentially worthless, only when smart algorithms analyse the data it becomes valuable. Analysed data cannot only be valuable it can also be extremely beautiful. Sometimes data gets explained with stunning visualizations. Visualizations that you did not expect upfront, that contains a wealth of information that you had not expected. Sometimes, big data … [Read more...] about The Beauty Is In Big Data Visualizations
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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.
Want to learn more about big data? Datafloq has courses available. Contact us to get started.
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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.
