With the low-code analytical platform Loginom you can solve problems on any level without the need to code and use SQL-like tools. Any transformation is possible with a low-code user interface.
Data sources can be a variety of things: files, spreadsheets, database tables, pipes, etcetera. Each data source needs to be managed and consolidated in order to extract the data.
Oracle, MS SQL, PostgreSQL, ClickHouse, BigQuery, MySQL...
Excel, CSV, XML, Loginom Data File
Creatio, Tableau
Oracle, MS SQL, Firebird
SOAP (WSDL), REST (JSON)
Hive, MongoDB, Amazon Redshift, SQL Azure...
After extraction, data must be physically moved to the target destination and converted into the relevant format. This stage includes cleaning, joining, and validating data or generating data features calculated from existing values. Loginom contains more than 25 algorithms for data transformation, simple and complex. Here are some of them:
Grouping
Cross Table
Union
Join
Row Filter
Correlation Analysis
Duplicates Detection
Eliminate Outliers
Sampling
Imputation
Clustering
Logistic Regression
Neural Network (Classification)
ARIMAX
XML Generation
Transaction ClusteringSmoothing
49+ componentsThe final step in the ETL-process is making the data presentable to the user. This data can be loaded into data warehouses, databases or imported into business applications.
Subject-oriented
Integrated
Time-variant
Oracle
MS SQL
PostgreSQL
MySQL
Tableau
Qlik
Creatio
Low-code analytical platform Loginom is designed to make the analytical process easier for IT departments and to provide a better experience for everyday business users. This allows companies of any size the ability to maximize their existing resources and deliver the solutions their business requires to stay competitive.
A solution for solving a wide range of business problems that require processing large volumes of data, implementing complex logic, and applying machine learning methods
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