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\title{Extracts from various articles}  Appearing in a rather random order. Will tidy up later...  You can get started by \textbf{double clicking} this text block and begin editing. You can also click the \textbf{Text} button below to add new block elements. Or you can \textbf{drag and drop an image} right onto this text. Happy writing!  Zachary G. Ives in \cite{cidr2015-Ives} says that a view \textit{at scale} yields many benefits, and this is evident in \cite{ieee-3-googlers}. "Follow the data. Choose a representation that can use unsupervised learning on unlabeled data, which is so much more plentiful than labeled data. Represent all the data with a nonparametric model rather than trying to summarize it with a parametric model, because with very large data sources, the data holds a lot of detail."  Georgia Kapitsaki in \cite{kapitsaki-2015} proposes a context extraction technique from existing datasets.   The most popular definition of context, given by Dey and Abowd [1]:\textit{Context is any information that can be used to characterize the situation of an entity. An entity is a person, place, or object that is considered relevant to the interaction between a user and an application, including the user and applications themselves.}  The use of context to provide relevant information and/or services to the user, where relevancy depends on the user's task, is known as \textit{context-awareness}.   From Michael Stonebraker's \textit{Red Book} \cite{red-book}:  Data Integration is the following steps:  \begin{enumerate}  \item{Ingest:} Locate and capture data source. Parse whatever data structure is used for storage.   \end{enumerate}