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Database Activity Monitoring – A Security Investment That Pays Off

Smart Data Collective

How can database activity monitoring (DAM) tools help avoid these threats? What are the ties between DAM and data loss prevention (DLP) systems? What is the role of machine learning in monitoring database activity? On the other hand, monitoring administrators’ actions is an important task as well.

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What is Data Pipeline? A Detailed Explanation

Smart Data Collective

A point of data entry in a given pipeline. Examples of an origin include storage systems like data lakes, data warehouses and data sources that include IoT devices, transaction processing applications, APIs or social media. The final point to which the data has to be eventually transferred is a destination.

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What Are OLAP (Online Analytical Processing) Tools?

Smart Data Collective

Online Analytical Processing (OLAP) is a term that refers to the process of analyzing data online. Data processing and analysis are usually done with a simple spreadsheet, which has data values organized in a row and column structure. The data is processed and modified after it has been extracted.

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The Best Data Management Tools For Small Businesses

Smart Data Collective

What is data management? Data management can be defined in many ways. Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data transformation. Data analytics and visualisation.

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Teradata Storage Optimization

BizAcuity

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. Not being an agile cloud data warehouse.

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Teradata Storage Optimization

BizAcuity

Teradata is based on a parallel Data Warehouse with shared-nothing architecture. Data is stored in a row-based format. It supports a hybrid storage model in which frequently accessed data is stored in SSD whereas rarely accessed data is stored on HDD. Collect user resource usage detail data.

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How to Build a Performant Data Warehouse in Redshift

Sisense

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. OLTP databases are best at queries where we are doing point scans or short scans of the data, think “return the number of deposits by X user this week.”.