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million by 2027. Key Skills Expertise in statistical analysis and data visualization tools. Proficiency in programming languages like Python and SQL. Familiarity with SQL for database management. Proficiency in DataAnalysis tools for market research. Experience with big data technologies (e.g.,
Data Engineers work to build and maintain data pipelines, databases, and data warehouses that can handle the collection, storage, and retrieval of vast amounts of data. Future of Data Engineering The Data Engineering market will expand from $18.2 Salary of a Data Engineer ranges between ₹ 3.1
Statistics : According to a report by Statista, the global Hadoop market size is expected to reach approximately $84 billion by 2027, reflecting its growing adoption among enterprises. Key Features : Speed : Spark processes data in-memory, making it up to 100 times faster than Hadoop MapReduce in certain applications.
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