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Data Lake
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A data
lake is a storage repository that holds a vast amount of raw data
in its native format until it is needed. While a hierarchical data warehouse
stores data in files or folders, a data lake uses a flat architecture to
store data. Each data element in a lake is assigned a unique identifier and
tagged with a set of extended metadata tags. When a business question arises,
the data lake can be queried for relevant data, and that smaller set of data
can then be analyzed to help answer the question. The term data lake is often associated with Hadoop-oriented object storage. In such a scenario, an organization's data is first loaded into the Hadoop platform, and then business analytics and data mining tools are applied to the data where it resides on Hadoop's cluster nodes of commodity computers. Like big data, the term data lake is sometimes disparaged as being simply a marketing label for a product that supports Hadoop. Increasingly, however, the term is being accepted as a way to describe any large data pool in which the schema and data requirements are not defined until the data is queried.
Data lake vs. data warehouse
Data lakes and data warehouses are both used for storing big data, but each approach has its own uses. Typically, a data warehouse is a relational database housed on an enterprise mainframe server or the cloud. The data stored in a warehouse is extracted from various online transaction processing (OLTP) applications to support business analytics (BA) queries and data marts for specific internal business groups, such as sales or inventory teams.
Data warehouses are useful when there is a
massive amount of data from operational systems that needs to be readily
available for analysis. Because the data in a lake is often uncurated and can
originate from sources outside of the company's operational systems, lakes
are not a good fit for the average business analytics user.
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Asset Management Awareness Month
Endometriosis Awareness Month
Irish-American Heritage Month
Multiple Sclerosis Awareness Month
National Caffeine Awareness Month
National Brain Injury Awareness Month
National Celery Month
National Cerebral Palsy Awareness
Month
National Cheerleading Safety Month
National Craft Month
National Credit Education Month
National Flour Month
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National Trisomy Awareness Month
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National Social Work Month
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| ============================================================== In addition to this blog, Netiquette IQ has a website with great assets which are being added to on a regular basis. I have authored the premiere book on Netiquette, “Netiquette IQ - A Comprehensive Guide to Improve, Enhance and Add Power to Your Email". My new book, “You’re Hired! Super Charge Your Email Skills in 60 Minutes. . . And Get That Job!” has just been published and will be followed by a trilogy of books on Netiquette for young people. You can view my profile, reviews of the book and content excerpts at: www.amazon.com/author/paulbabicki Anyone who would like to review the book and have it posted on my blog or website, please contact me paul@netiquetteiq.com. In addition to this blog, I maintain a radio show on BlogtalkRadio and an online newsletter via paper.li.I have established Netiquette discussion groups with Linkedin and Yahoo. I am also a member of the International Business Etiquette and Protocol Group and Minding Manners among others. I regularly consult for the Gerson Lehrman Group, a worldwide network of subject matter experts and I have been contributing to the blogs Everything Email and emailmonday . My work has appeared in numerous publications and I have presented to groups such as The Breakfast Club of NJ and PSG of Mercer County, NJ.
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