As we have seen, the acceptance of big data was highly reassuring in 2016. More and more organizations started adding it to their top line priority for storing, processing, and extracting actionable value out of data in all sizes and forms. In the first half of 2017, the demand for systems which support huge volume of unstructured and structured data is on the rise. The top … [Read more...] about The Changing Big Data Scenario 2017 Trends
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.
How can Java Professionals Leverage the Power of Hadoop?
There is no doubt that a flood of data has already come. There is data everywhere and loads and loads of data. The typical size of datasets has shot up from giga bytes to peta bytes and the complexity has increased manifold. Data comes from varied sources “ be it the twitter updates or the constant social media data and this data are highly unstructured in form. Gone are the … [Read more...] about How can Java Professionals Leverage the Power of Hadoop?
Location Data in the Financial Services Industry
Facing increased regulation and disruption from new technology, banks and financial institutions who want to maintain their competitive edge need to leverage on mobility data. Perhaps the biggest challenge facing the financial services industry today is the constantly changing expectations of consumers. With customer service standards set by tech giants like Apple and Amazon, … [Read more...] about Location Data in the Financial Services Industry
How Blockchain and Big Data Could Transform Healthcare
Are you aware of the digitization of health information and what that could mean for a technology like blockchain? In 2009, with the passage of the HITECH Act, electronic health records (EHRs) started to emerge as the standard for healthcare organizations. HITECH (Health Information Technology for Economic and Clinical Health) provides incentives for hospitals and other … [Read more...] about How Blockchain and Big Data Could Transform Healthcare
25 Must Know Big Data Terms To Impress Your Date
Big Data can be intimidating! If you are new to Big Data, please read What is Big Data' to get you started. With the basic concepts under your belt, let's focus on some key terms to impress your date or boss or family. So let's get going with this list. Algorithm A mathematical formula or statistical process used to perform an analysis of data. How is Algorithm is related … [Read more...] about 25 Must Know Big Data Terms To Impress Your Date
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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.
