GOAL DIRECTED LEARNING
These Data and Analytics topics are under construction. Your success is important to us, so new topics are being added and enhanced.
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Enterprise Information Management (EIM) is a commonly used terminology that unifies displines of Information Architecture, Data Architecture and Data Management. EIM topics are addressed at multiple points in this tutorial. These disciplines, among others, compose EIM:
The modern world is filled with situations where the timing sequence is critical to effective analysis. The Internet of Things (IoT) is generating high volumes, continuous flow of metrics obtained through measurement of devices. Stock markets are generating a high volume of trades on a second by second basis. Computer systems are generating high volumes of data about there status-bar such as jobs processed, memory used and computing cycles expended. High volume streams of data need to be rapidly captured, stored and analyzed. This is a big challenge.
A Time Series DataBase (TSDB) is a DataBase Management System (DBMS) optimized to store and access high volumes of data which contains timestamps, an attribute which specifies date and time to a detailed level. Time Series DataBases provide distinctive capabilites:
Multiple vendors provide Graph DBMS Software. DB-Engines publishes a ranked list of graph DBMS. InfluxDB is the market leader in TSDB according to DB-Engines research. The top five in that list as of June 9, 2020 are:
In addition to the above suppliers, consider DBMS that have been improved to support time series such as: Teradata, Redis and Informix.
Check out these Time Series Data links:
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Check out these Data Integration links:
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Check out these Data Pipeline links:
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Check out these Change Data Capture (CDC) links:
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Check out these Data Warehouse Automation links:
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Check out these Data Wrangling links:
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This different that methodology. Instead refers to workflow of the developed solution. Reference tools like: Alteryx and Knime.
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Check out these Data Science Workflow links:
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Check out these BI Data Visualization links:
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Check out these BI Data Visualization links:
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Check out these Statistics links:
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Check out these Descriptive Analytics links:
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Check out these Predictive Analytics links:
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Check out these Prescriptive Analytics links:
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Check out these Security Architecture links:
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Check out these Disaster Recovery links:
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