Matasoft<p>Eliminate data silos and unify your records! Our fuzzy data matching services merge and cleanse datasets from multiple sources, even with inconsistent formats. Achieve seamless integration: <a href="https://matasoft.hr/QTrendControl/index.php/data-matching-services" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">matasoft.hr/QTrendControl/inde</span><span class="invisible">x.php/data-matching-services</span></a> <a href="https://mstdn.business/tags/DataIntegration" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataIntegration</span></a> <a href="https://mstdn.business/tags/FuzzyMatching" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>FuzzyMatching</span></a> <a href="https://mstdn.business/tags/DataCleansing" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataCleansing</span></a></p>
Verwaltet von:
#dataintegration
0 Beiträge0 Beteiligte0 Beiträge heute
We are Hiring!
Data warehousing
Location: Bengaluru
Submit your CV: resumes@overturerede.zohorecruitmail.in
Contact: +917428694900
Apply Now: .
https://zurl.co/IeK73
On my way to @FAU to meet with my dear colleague Sarah to discuss and work on our #datamodel for the #objectbiography #objectbiographies in @nfdi4objects. I look forward to those 3 days. #nfdirocks #nfdi #dataintegration #digitalheritage 
https://zenodo.org/records/13936583
ZenodoDevelopment of the N4O Objects Ontology, Object Biography data model and Minimal metadata set in NFDI4ObjectsThis presentation gives a workshop insight into the data model and ontology development in NFDI4Objects using the concept of object biography. The development procedure is presented on the basis of two use cases: Use Case 1: The so called Iron Dust Lung from FAU's Anatomical Collection offers a use case for dealing with human remains Use Case 2: The Behaim Globe at the Germanisches Nationalmuseum was chosen as a use case to test the handling of a heavily researched and received object that still raises many questions. The data model and underlying ontology for object biographies is based on the lastest certified version 7.1.3 of the CIDOC CRM ISO 21127 Also the presentation gives an insight into the planned development of the N4O minimal data set and the object ontology as the basis for data consolidation for the consortium's knowledge graph: There is a development and implementation of the Minimal Metadata Reccomendation for Museums and Collections in WissKI. The NFDI4Objects minimal data set is based on https://www.minimaldatensatz.de (recommendation for museums), but not limited to it, as the basis for the MMDS is an evaluation of the needs in NFDI4Objects Task Areas 1-4, that know about the research data. This will be dealed with in the N4O TWG “N4O Minimaldatensatz and N4O Object Ontology” (Mailinglist https://www.listserv.dfn.de/sympa/info/n4o_twg_objectsontology_mmds, Rocket Chat: https://n4o-chat.nfdi.de/channel/TWG_ObjectsOntology_and_MinimalMetadataSet).
Obviously I missed posting for yesterday's #dayofdh2024 but there are 2 #DH meetings in the pipeline, one in Berlin coming Friday, one in Jena next week. And I finished my slides for https://www.dnb.de/EN/Kulturell/Veranstaltungskalender/Fachveranstaltungen/20241210GNDforum_event.html for next week, where I will give an insight into the research data in @nfdi4objects since #AuthorityFiles and #controlledVocabularies are important for any digital project. 
#nfdi #dataintegration #researchdata #RDM #metadata #nfdirocks
December · 20241210GNDforum_event
Strava’s new API rules for third parties will complicate data integration across dozens of fitness apps and wearables, limiting users' ability to consolidate their fitness data. 
#Strava #FitnessApps #Wearables #TechPolicy #API #FitnessTracking #TechNews #DataIntegration
A year of data mastery! Reflect on how identity resolution data management has revolutionized customer engagement.
Read more https://lttr.ai/AYrJV
Miss Pepper AIEffective Strategies for Identity Resolution Data Management – Improve Customer Experience and Data Accuracy - Miss Pepper AIAre you struggling with managing your company's identity resolution data? You're not alone. With increasing amounts of customer data and ever-changing privacy
#solidtime launches as modern #opensource time tracking solution designed for freelancers and agencies, offering comprehensive project and task management capabilities
• 
Key features include project member assignment, client management, and customizable billable rates for different organizational levels #timemanagement #productivity
• 
Supports multiple organizations under one account with advanced roles and permissions system #collaboration
• 
Seamless data import functionality supporting #Toggl, #Clockify, and Timeentry CSV formats #dataintegration
• 
Available for self-hosting with detailed documentation at https://docs.solidtime.io/self-hosting/intro
docs.solidtime.ioIntroduction | solidtimeWelcome to the Self-Hosting section of the solidtime documentation!
#Seagl2024 presents: Apache SeaTunnel: The High-Performance Maestro of Batch and Stream Data Integration
By: William Guo
Friday, 11/08 16:30PST
Category: Systems and Platforms
Link: https://pretalx.seagl.org/2024/talk/9SPYL8/
#FOSS #FLOSS #opensource #DataIntegration
pretalx.seagl.orgApache SeaTunnel: The High-Performance Maestro of Batch and Stream Data Integration SeaGL 2024We’ll explore how Apache SeaTunnel revolutionizes data integration with its robust capabilities. It excels in cross-cloud data integration, breaking down silos for a unified data environment, and supports over 160 data sources, allowing seamless connection and analysis of diverse data. SeaTunnel's high-performance capabilities in both batch and stream processing make it stand out, providing superior speed and efficiency. To illustrate its real-world impact, I’ll share a case study from JP Morgan & Chase, demonstrating how they used SeaTunnel to streamline data integration processes and achieve significant performance improvements.
In today’s #data-driven world, having #inhouse, #outsourced, or #dedicated data specialists is crucial for making informed business decisions.
Whether you need an in-house team or an outsourced data engineering service, skilled professionals ensure that your business can collect, process, and extract valuable insights from data, enabling better decision-making, operational efficiency, and competitive advantage.
Info: https://www.ibm.com/think/topics/data-engineering