Graph NoSQL Database A graph database is a NoSQL database that organizes data as nodes, which are like records in a relational database, and relationships, which represent connections between nodes. Because the graph system stores the relationship between nodes, it can support richer representations of data relationships. Relationships are the key concept in graph databases, representing […]
Document NoSQL Database A document database, also called a document store or document-oriented database, is a NoSQL database used for storing, retrieving, and managing semi-structured data. Unlike traditional relational database management systems (RDBMS), the data model in a document database is not structured in a table format of rows and columns. A document database uses […]
Key-Value Database A key-value database, also known as a key-value store, is the most flexible type of NoSQL database. Key-value databases have emerged as an alternative to many of the limitations of traditional relational databases, where data is structured in tables and the schema must be predefined. In a key-value data store, there is no […]
Business Rationale for NoSQL According to the book, “Making Sense of NoSQL”, by Dan McCreary and Ann Kelly, increases of data volume, data velocity, and data type variability within modern business organizations has created a high demand on conventional relational database management systems (RDBMS) and requires a new paradigm for organizations to remain effective. Organizations […]
Definition of NoSQL Recently, NoSQL databases have been developed that provide a high-performance and salable alternative to more traditional relational database management systems (RDBMS), especially when dealing with large amounts of unstructured or semi-structured data. NoSQL, which stands for “Not Only SQL” (https://en.wikipedia.org/wiki/NoSQL) is unlike RDBMS as it is designed for processing large collections of distributed […]
Overview of Data Lake Concept Data Lakes are storage repositories that hold a vast amount of raw data stored in the data’s native format. Types of data included in a data lake include structured data, relational databases, semi-structured data, unstructured data, documents, binary files, & raw data. The concept of data lakes has been well […]
The term Big Data describes a massive volume of structured, semi-structured, and unstructured data that can be collected within an organization that is so large that it is difficult to process using common database management tools or traditional data processing applications. When dealing with extremely large datasets, organizations face difficulties in being able to create, manipulate, manage, transfer, and […]
Overview of Data Visualization Solutions Data Visualization Solutions enable analysis by providing highly-graphical representations of information and data. By using visual elements including charts, graphs, and maps, data visualization is an accessible way to see and understand trends, outliers, and patterns in data. Further, data visualization refers to the techniques used to communicate data or […]
Overview of Data Exploration Solutions Data Exploration Solutions enable robust visual searches of vast amounts of data and are commonly used by data analysts. Data Exploration Solutions include sophisticated data discovery capabilities that enable users to rapidly and intuitively search through large amounts of data in order to gain insights. Subsequently data exploration solutions enable […]
The November 2015 meeting of the Washington DC Business Objects User Group (WDCBOUG) is scheduled for November 16, 2015 at Pepco Holdings in Washington DC. This meeting has no fee but you must register to attend. Register Now Logistics: Date: Monday, November 16, 2015 Time: 8:30 am – 2:00 pm Location: Pepco Holdings, Inc. 701 9th Street. NW […]