data analysis toolsMicrosoft ExcelThis chapter demonstrates how to use data analysis tools and techniques in excel. Using numerous screenshots and easy-to-follow numbered steps, it explains how to perform what-if analysis, optimize a result with goal seek, solver, solve a formula with a data ...
Here are a few common techniques used to perform data lineage on strategic datasets. Pattern-Based Lineage This technique performs lineage without dealing with the code used to generate or transform the data. It involves evaluation of metadata for tables, columns, and business reports. Using this ...
Increase Productivity and Efficiency: Data visualization tools streamline the process of data analysis, reducing the time and effort required to interpret data. This increases productivity and allows teams to focus on strategic initiatives. Importance of Data Visualization Techniques Data visualization plays ...
9. Apache Flink – Powerful Stream Processing and Batch Processing Framework Apache is known for providing tools and techniques in data science that speed up the analysis process. Flink is one of the best tools in Data Science offered by the Apache Software Foundation. Apache Flink is an open-...
part ofdata warehouse integration, or to publish to a messaging system or data stream. They are also used in event processing for real-time applications. For example, streaming data pipelines might be used to provide real-time data to afraud detection system and to monitor quality of service....
Key data lineage techniques Various techniques can be used to collect and document data lineage information. They aren't necessarily mutually exclusive -- an organization may use more than one lineage technique, depending on its application needs and the nature of its data environment. The available...
Predictive analysis Predictive analysis uses statistical models and forecasting techniques to understand the future. It involves using data from the past to predict what could happen in the future. This type of analysis is often used in risk assessment, marketing, and sales forecasting. For example,...
Prescriptive analysis is a decision-making analysis that uses mathematical modeling, optimization algorithms, and other data-driven techniques to identify the action for a given problem or situation. It combines mathematical models, data, and business constraints to find the best move or decision....
Data analytics as a practice is focused on using tools and techniques to explore and analyze data in real-time or near-real-time to uncover hidden patterns, correlations, and trends. The goal is predictive and prescriptive analysis, using advanced techniques to make accurate, dynamic, and forwar...
The desire for businesses to make the best use of their data has led to the development of the field ofbusiness intelligence, which covers a variety of tools and techniques that allow businesses to perform data analysis on the information they collect. ...