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Data security means protecting data in a database, personal computer or network from unauthorized users. In general, data can range from personal files to any corporate analytics information. Though some information is intended for general use, there might be some...
Data science uses scientific methods, algorithms, processes and systems to gain insights from data. The end result of their methods are usually charts or other visualizations that reveal trends and produce insights to inform the decision-making process and thus help...
Data Mining is the process of uncovering hidden information or patterns from large data sets. Data is extracted from large databases using statistics, artificial intelligence, decision trees, machine learning, etc. The primary goal of the data mining process is to...
A crosstab (short for cross tabulation) is a table that summarizes the relationship between two or more categorical variables. Each row represents one variable, each column represents another, and the cells display aggregated values such as counts, sums, or averages....
A process of combining heterogeneous data from multiple sources. Data Mashing is the process of integrating business-related heterogeneous and application data from numerous sources to give a more unified view from a “big picture” perspective. Usually, mashing is a...
A data lake is a centralized repository that offers storage for both structured and unstructured data, regardless of scale, and allows multiple types of analytics to guide business processes. Data lakes contain raw-form data from all data sources, and they support all...
In today’s fast-paced and highly competitive business environment, data governance is more important than ever. Businesses have the chance to capture large amounts of data from various sources, but they also need a way to maximize the value, manage the risks and lower...
Data exploration is the process of describing the main characteristics of a set of data. This is often the first step people take when performing data analysis. During this process, the analyst decides which questions the data is going to answer, what hypothesis it...
The Oracle Talent Acquisition Cloud (Taleo) is a data-enriched talent management software suite that helps organizations find, develop and retain prime talent. Taleo History Oracle acquired this cloud-based talent management software in 2012, though it was founded in...
Tabular data is data organized into rows and columns, where each row represents a single record and each column represents a specific attribute. A spreadsheet of employee names, departments, and salaries is data in tabular form. A CSV file listing product SKUs,...
Subject area modeling organizes an enterprise data model (EDM) into high-level groups based on business functions rather than technical systems. A subject area model serves as the first layer of an EDM, breaking a large data landscape into manageable segments that...
An automated process of refreshing the jobs or reports on a regular basis. Scheduling is a process of planning any event or a job at a required time. Similarly, on the technical front, scheduling helps in automating the required procedure for refreshing processes,...
Data security means protecting data in a database, personal computer or network from unauthorized users. In general, data can range from personal files to any corporate analytics information. Though some information is intended for general use, there might be some...
Data science uses scientific methods, algorithms, processes and systems to gain insights from data. The end result of their methods are usually charts or other visualizations that reveal trends and produce insights to inform the decision-making process and thus help...
Data Mining is the process of uncovering hidden information or patterns from large data sets. Data is extracted from large databases using statistics, artificial intelligence, decision trees, machine learning, etc. The primary goal of the data mining process is to...
A crosstab (short for cross tabulation) is a table that summarizes the relationship between two or more categorical variables. Each row represents one variable, each column represents another, and the cells display aggregated values such as counts, sums, or averages....
A process of combining heterogeneous data from multiple sources. Data Mashing is the process of integrating business-related heterogeneous and application data from numerous sources to give a more unified view from a “big picture” perspective. Usually, mashing is a...
A data lake is a centralized repository that offers storage for both structured and unstructured data, regardless of scale, and allows multiple types of analytics to guide business processes. Data lakes contain raw-form data from all data sources, and they support all...
In today’s fast-paced and highly competitive business environment, data governance is more important than ever. Businesses have the chance to capture large amounts of data from various sources, but they also need a way to maximize the value, manage the risks and lower...
Data exploration is the process of describing the main characteristics of a set of data. This is often the first step people take when performing data analysis. During this process, the analyst decides which questions the data is going to answer, what hypothesis it...
The Oracle Talent Acquisition Cloud (Taleo) is a data-enriched talent management software suite that helps organizations find, develop and retain prime talent. Taleo History Oracle acquired this cloud-based talent management software in 2012, though it was founded in...
Tabular data is data organized into rows and columns, where each row represents a single record and each column represents a specific attribute. A spreadsheet of employee names, departments, and salaries is data in tabular form. A CSV file listing product SKUs,...
Subject area modeling organizes an enterprise data model (EDM) into high-level groups based on business functions rather than technical systems. A subject area model serves as the first layer of an EDM, breaking a large data landscape into manageable segments that...
An automated process of refreshing the jobs or reports on a regular basis. Scheduling is a process of planning any event or a job at a required time. Similarly, on the technical front, scheduling helps in automating the required procedure for refreshing processes,...
