Devopsbay helped a multinational manufacturing company on a project to speed up the data preparation process by 70% by implementing DataRobot Data Prep. The project focused on automating the cleaning and transformation of data from multiple sources, significantly reducing the time required to prepare data for analysis.
This solution allows organisations to efficiently collect, explore and prepare data from multiple sources for machine analysis. The three main solutions offered by Paxata are:
Data cleansing automation - the system automatically detects and fixes errors, inconsistencies and gaps in data, significantly speeding up the data preparation process.Advanced integration of data sources - the platform enables data from different systems (including databases, local files, the cloud) to be combined into one coherent set.Shared and reused workflows - users can save and share both the data and the steps used to prepare it, making teamwork more efficient.Streamline work on large data sets.
JDBC (Java Database Connectivity)A framework for connecting to different databases, used to import and export data from multiple sources.
KerberosAn authentication system used for secure access to Hadoop clusters and Big Data services.
Apache HiveA data processing framework used to analyze large data sets in a Hadoop environment.
Apache ImpalaSQL query engine used for fast data processing in Hadoop clusters.
Azure Data Lake StorageA data storage solution used in integration with Microsoft Azure services.
DatabricksA data processing platform used for advanced analytics and machine learning.
Interactive ModePaxat's own solution for working with real-time data as it is loaded.
Project FlowsA data preparation automation system for creating repeatable workflows.
KubernetesA container orchestration platform used to manage and scale Paxata microservices in a production environment.
HelmKubernetes package manager used to define, install and update Paxata applications.
NGINXProxy server used as an access layer and load balancer for applications.
Bash ScriptingScripts that automate deployment and environment management processes.
KustomizeKubernetes manifest customization tool used to manage different environments.
Enhanced platform performanceAutomated error detectionImproved team collaborationDevopsbay's support has optimized the platform's overall performance, enabling faster data processing and a more robust, reliable system for large-scale data operations.
The system now automatically detects and corrects data errors, with standardized formats that ensure data consistency across sources, minimizing manual intervention and errors.
With shared workflows and reusable processes, teams can collaborate seamlessly on data preparation and analysis, leading to faster insights and improved efficiency across departments.
Devopsbay's support has optimized the platform's overall performance, enabling faster data processing and a more robust, reliable system for large-scale data operations.
Effective integration of multiple data sources into one complete system
Ensure high system availability by using NGINX
Elimination of errors resulting from manual data processing
Improving collaboration between analytical teams
70% reduction in the time needed to prepare data for analysis
The team has been creative about meeting our needs as the climate of the project changes. Thanks to the expertise of Devopsbay, the company is able to significantly grow their customer base from 150 to 350. The team excels in communication and project management, but internal stakeholders are particularly impressed with their development flexibility.
Aaron Vitt
Sr. Engineering Manager, Paxata
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