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First, many of them are based on inflexible architectures in terms of their capability to manage JSON and time-series data and the cost to expand them to administer larger datasets or complexity of modern analytics, such as ArtificialIntelligence (AI) and Machine Learning (ML).
On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificialintelligence (AI), and deep learning. Data Warehousing : Accelerate your data warehouse tasks with Astera’s user-friendly and no-code UI.
It utilizes artificialintelligence to analyze and understand textual data. Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Cons: There’s a high learning curve for using Apache Mahout.
Strategic Objective Create an engaging experience in which users can explore and interact with their data. Requirement Filtering Users can choose the data that is important to them and get more specific in their analysis. Drilling Users can dig deeper and gain greater insights into the underlying data.
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