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Big Data Analytics - Why is it the hottest buzzword around?

Data exists in various forms like structured, semi-structured, and unstructured data. Emails come under semi-structured and videos and pictures come under unstructured data. All of this can be collectively called big data.

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Big Data Analytics - Why is it the hottest buzzword around?

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  1. Synergistic it The Best Programmers in the bay area…Period!

  2. Big Data Analytics - Why is it the hottest buzzword around? With the amount of data being generated every day by businesses and consumers worldwide, the importance of data is skyrocketing rapidly. Who would have thought that big data analytics would bring a revolution to our world a few years ago? This technology is fueling everything we do these days from shopping online to listening to songs to finding a romantic partner. Take Spotify for example, it has nearly 96 million users and through the help of big data analytics, the cloud-based platform helps automatically generate suggested songs based on users’ likes, shares and history.

  3. 1 What is Big Data? It is a massive amount of data that cannot be stored, analyzed, or processed until treated with analytics and algorithms. Data exists in various forms like structured, semi-structured, and unstructured data. Emails come under semi-structured and videos and pictures come under unstructured data. All of this can be collectively called big data.

  4. What is big data analytics?

  5. If we talk about big data definition then it is a science of examining large amounts of data to gain better insights and uncover hidden patterns and then applying these results to drive successful business results. It can be used to prevent fraudulent activities and for better decision making among other things.

  6. Major benefits of Big Data Analytics

  7. Big data examples can be understood from the various benefits it offers for all kinds of businesses. Risk management is on top of the list as it helps companies narrow down a list of suspects and finds the root cause of fraudulent activities. This technology also helps businesses improve their end product by finding faults in the existing technology. For a company that wants to analyze whether a particular location will be suitable for a new outlet or not, data analytics can easily derive valuable inputs from demographics, population, and geographical data. And by analyzing customers’ responses towards a particular service, their overall experience can also be enhanced.

  8. Big data analytics tools There is no defined path for you to become a data analyst as you would have to learn a couple of technologies based on your end goal. Hadoop, Talend, MongoDB, STORM, Spark, Cassandra, and Kafka are some of the major tools used in Big data analytics. From storing integrating, managing to real-time processing, and analyzing, these technologies deal with all major aspects.

  9. Join the Big Data Revolution Considering the importance of big data in our world today, there is no uncertainty in the fact that the demand for data analysts will continue to rise. To advance your career in this field, sign up with SynergisticIT, and learn core concepts of the Hadoop framework including Hive, Apache, and HBase.

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