In the world of data science, the term “big data” looms large. With the exponential growth of information, handling vast amounts of data has become essential for businesses, researchers, and professionals alike. The sheer volume, variety, and velocity of big data demand specialized tools to process, analyze, and derive meaningful insights. Data science thrives on these tools, enabling analysts to efficiently wrangle data, discover patterns, and drive decision-making. Among the leading tools for big data, Hadoop and Spark often dominate the conversation, but several other powerful technologies are worth exploring.
Top Tools for Big Data in Data Science: Hadoop, Spark, and More