Big Data is growing at 50% per year, with no sign of slowing. Until recently, all this data was seen as a problem. Now it’s being seen as an opportunity. Why? Deep within Big Data lie insights that can lead to competitive differentiation and giant leaps forward no matter what industry you’re in. We have certified professionals working on data-driven enterprise solutions on Hadoop platform in the areas of analytics, data mining and prediction tools. Big Data Analytics begins with the collection of diverse data from internal and external sources, including structured, semi-structured, and unstructured data. This data may come from customer interactions, website visits, IoT devices, and more.
Once collected, the data is stored in a centralized repository, often using distributed storage systems like Hadoop Distributed File System (HDFS) or cloud-based storage solutions. These systems provide scalability and fault tolerance to handle large volumes of data. Big Data Analytics involves processing and analyzing the collected data to extract insights. This process may include data cleaning, transformation, and enrichment to ensure data quality and relevance. Various analytics techniques are applied to the processed data to uncover patterns, correlations, and trends. These techniques may include descriptive analytics, predictive analytics, and prescriptive analytics, among others.
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