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Showing posts with the label Data warehouse2.0

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Best Practices for Handling Duplicate Elements in Python Lists

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Here are three awesome ways that you can use to remove duplicates in a list. These are helpful in resolving your data analytics solutions.  01. Using a Set Convert the list into a set , which automatically removes duplicates due to its unique element nature, and then convert the set back to a list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = list(set(original_list)) 02. Using a Loop Iterate through the original list and append elements to a new list only if they haven't been added before. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] for item in original_list:     if item not in unique_list:         unique_list.append(item) 03. Using List Comprehension Create a new list using a list comprehension that includes only the elements not already present in the new list. Solution: original_list = [2, 4, 6, 2, 8, 6, 10] unique_list = [] [unique_list.append(item) for item in original_list if item not in unique_list] All three methods will result in uni

4 Essential Points on Modern Data Warehouse 2.0

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The new data warehouse often called “Data Warehouse 2.0,” is the fast-growing trend of doing away with the old idea of huge, off-site, mega-warehouses stuffed with hardware and connected to the world through huge trunk lines and big satellite dishes. How Modern Data warehouse You Can Implement The replacement is very different from that highly controlled, centralized, and inefficient ideal towards a more cloud-based, decentralized preference of varied hardware and widespread connectivity. In today’s world of instant, varied access by many different users and consumers, data is no longer nicely tucked away in big warehouses. How Data Will Be Stored in Modern Data Warehouse Instead, it is often stored in multiple locations (often with redundancy) and overlapping small storage spaces that are often nothing more than large closets in an office building.  The trend is towards always-on, always-accessible, and very open storage that is fast and friendly for consumers yet com