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Exploring Azure Table Storage Using PowerShell
Some technical problems lend themselves to storing and retrieving data from a relational database management system (RDBMS [en.wikipedia.org]). Edgar Codd came up with the idea of a relational model when he was working at IBM’s San Jose Research Library in 1970. The purpose of this model was to abstract the relational database so that it was not bound to any particular application.
Other technical problems do not lend themselves to storing and retrieving data from a predefined table. The popularity of NoSQL databases started with companies such as Facebook, Google and Amazon when working with big data problems and/or real time web applications. This set of technology is coined “Not Only SQL” since they might support a SQL syntax for retrieving data.
While there are many NoSQL [en.wikipedia.org] database systems, most systems can be place into one of four widely implemented data stores.
A key value store uses the concept of an associative array to save and retrieve data. A document store encapsulates all the data for an entity (document) using a popular encoding format such as XML or JSON. A graph store contains a bunch of elements with a finite number of connections between them. A column store saves the data using columns instead of rows. This means that columns with discrete values can be highly compressed.
Today, we are going to learn about Azure Table Storage which is a key value store.
John Miner is a Data Architect at Blue Metal helping corporations solve their business needs with various data platform solutions.
He has over twenty five years of data processing experience, and his architecture expertise encompasses all phases of the software project life cycle, including design, development, implementation, and maintenance of systems.
His credentials include undergraduate and graduate degrees in Computer Science from the University of Rhode Island. He has also earned certificates from Microsoft for Database Administration (MCDBA), System Administration (MCSA) and Data Management & Analytics (MCSE).
Before joining Blue Metal, John won the Data Platform MVP award in 2014 and 2015 for his outstanding contributions to the SQL Server community.
When he is not busy talking to local user groups or writing blog entries on new technology, he spends time with his wife and daughter enjoying outdoor activities. Some of John’s hobbies include wood working projects, crafting a good beer and playing a game of chess.