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What is Big Data?

Big Data refers to a large collection of data which is growing at an exponential rate. This data is so complex and large that no traditional data management tool can store or process it efficiently. Big data can also be a huge data set.<br><br>To become a data scientist, one must first require knowledge of Big Data and other data science concepts. However, to accelerate your career in Data Science and to provide the required knowledge of Big Data, <br>For more information, please visit:<br>https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

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What is Big Data?

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  1. WHAT IS BIG DATA? https://1stepgrow.com/

  2. TABLE OF CONTENT What is Big Data? characteristics of Big Data. Benefits of Big Data. Top Big Data tools Future of Big Data. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  3. WHAT IS BIG DATA? Big Data refers to a large collection of data which is growing at an exponential rate. This data is so complex and large that no traditional data management tool can store or process it efficiently. Big data can also be a huge data set. Example of Big Data: Social Media The statistic shows that 500+terabytes of new data get ingested into the databases of social media site Facebook, every day. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  4. CHARACTERISTICS OF BIG DATA Volume Variety Velocity Variability https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  5. CHARACTERISTICS OF BIG DATA - THE 4 V'S Volume: Volume is one of the four v’s of big data. We definitely realize that big data shows enormous volumes of data that is being created every day from different sources like human interactions, networks, machines, business processes, social media platforms, and so on. A lot of data is put away in data warehouses. Subsequently reaches the finish of characteristics of big data. Variety: Big data can refer to structured, semi-structured and unstructured data that has been gathered from many sources. Unlike in the past, data was collected from spreadsheets and databases. Today, data comes in a variety formats, including SM posts, audios and videos, photos and PDFs, and emails. Big data is known for its diversity. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  6. CHARACTERISTICS OF BIG DATA - THE 4 V'S Velocity: Velocity is the speed at which data can be generated. High velocity data is created at such a rapid pace that it needs different (distributed), processing techniques. Twitter messages and Facebook posts are examples of high velocity data. Veracity: Veracity refers to the reliability, accuracy, and quality of the data collected. Veracity is not a characteristic of big data. High dependability is important because big data has high velocity, variety, and volume. However, businesses can draw precise inferences from this. https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  7. BENEFIT OF BIG DATA Drives better customer service Boosts online sales Targets the right leads Efficient decision-making Reduces overall costs Provides a competitive advantage Increases revenue

  8. TOP BIG DATA TOOLS 1.Adverity 2. Dextrus 3. Dataddo 4. Apache Hadoop 5. Cassandra https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/

  9. FUTURE OF BIG DATA ANALTYICS As big data analytics is gaining popularity with every passing day, it is essential for businesses to be aware of the big data analytics predictions and stay abreast with all the latest trends. The scene is constantly changing and businesses have to be on the toes to know what the future trends in big data analytics are. Once more and more companies start realizing how efficient and profitable data analytics is, and how well it benefits them, more companies will leverage it, and the market will continue to grow

  10. THANK YOU For more information, please visit: https://1stepgrow.com/

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