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You see, 80% of your working hours will be spent wrangling the data. So what is datawrangling? Let’s imagine the process of building a data lake. Let’s imagine the process of building a data lake. First off, datawrangling is gathering the appropriate data. That’s on average.
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This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03 This revolution is just beginning to accelerate – in fact, according to a recent Applied Market Research study, the global connected car market was valued at $63.03
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Analytics and now Data Science are trapped in the middle. A recent HBR article put it at 100% for data science projects. I suggest that there are five distinct job descriptions: SUBSCRIBE TO OUR BLOG. Data Steward – this skillset is alive and well in most organizations. That’s abysmal.
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We recently announced $50M in Series C funding to supercharge our growth, cement our leadership position, and innovate so data catalogs can create even deeper and broader value than they are today. As well as our great community of over 100 customers now who want to build this data-democratized future with us.
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Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases.
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