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Doris: MPP-based interactive SQL data warehousing for reporting and analysis, good for both high-throughput scenarios and high-concurrency point queries; Drill: software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets; Druid: high-performance, column-oriented, distributed data store
This is a list of free and open-source software packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]
Dbt has the goal of allowing analysts to work more like software engineers, in line with the dbt viewpoint. [11] Dbt uses YAML files to declare properties. seed is a type of reference table used in dbt for static or infrequently changed data, like for example country codes or lookup tables), which are CSV based and typically stored in a seeds ...
Data analysis focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment. [8] It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.
i2 Analyst's Notebook is a software product from i2 Group for data analysis. Based on ELP (entity-link-property) methodology, it reveals relationships between data entities to discover patterns and provide insight into data. It is commonly used by digital analysts at law enforcement, military and other government intelligence agencies, and by ...
Other implementation methods include (1) risk profile analysis (figure out what needs to be measured and what risks are associated with it), (2) Decide on the Diversification of projects, infrastructure and technologies (it is an important tool that IT portfolio management provides to judge the level of investments on the basis of how ...
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Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]