4 Ways to Ensure Your Data Lake Doesn’t Become a Data Swamp

If your company is involved in a full-fledged Smart Manufacturing, Industry 4.0, or other digital transformation initiative, you’ve likely encountered the term “data lake.” A data lake is essentially a place to store all the data collected from your operations. In a data lake, the data stored there can be structured or unstructured. No prior processing is required for the data to be stored in a data lake. Because all kinds of data can be stored in a data lake, these data storage sites hold high potential to provide guidance on matters you might not yet consider to be important. According to Amazon Web Services, having different data types stored in a central repository means that you can apply numerous types of analytics, such as SQL queries, Big Data analytics, full text search, real-time analytics, and machine learning to uncover new insights. 

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