Analyzing How Big Data Analytics Is Used For Today s Data...

troduction Every day, we produce 2.5 quintillion bytes of data. 90% of all data in the world was produced in the past two years. Data has been around forever; we have always gathered information. Paleolithic cavemen recorded their activities by carving them in stone or notching them in sticks. Egyptians used hieroglyphics to record significant events in history. The Library of Alexandria was home to half-a-million scrolls of the ancient world. Less than hundred years ago, we used punch cards to record and store information. As technology continues to evolve, the amount of data we store continues to grow. We’ve come a long way since stone tablets, scrolls, and punch cards. It’s important to understand the concept of big data and the impact is has created. This paper will define the classifications of data, explain the challenges of big data, and describe how big data analytics is being used in today’s data driven world. Classifying Data Data can be classified into three distinct categories: structured, unstructured, and semi-structured. It is important to understand these classifications and the challenges they present. Structured data follows a specific pattern of organization and is easy to access, manage, and store. It fits nicely into rows and columns of traditional database management systems. Unstructured data is unorganized; it follows no specific pattern or order. It does not fit into rows and columns and cannot be easily accessed, processed or searched. This typeShow MoreRelatedLong Distance Information Delivery1695 Words   |  7 Pagesinformation delivery was by horseback. Homing pigeons were used for shorter distances; as sending a message just one hundred miles away by horseback took at least a day to arrive at its destination. At the start of the 19th century, news from Europe took six weeks to reach the US. 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