Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Information such as instrument configurations, the most recent service date, the analyst's identity, and the duration of the experiment is currently not recorded. This results in the loss of raw data, making it nearly impossible to alter or rerun analyses without significant effort, and the absence of traceability complicates meta-analyses. The process of simply entering primary analysis outcomes can become a burden that hinders scientists’ efficiency. However, by storing raw data in the cloud and automating the analytical processes, we ensure traceability throughout. Subsequently, this data can be integrated into various platforms such as ELNs, LIMS, Excel, analysis applications, and pipelines. Moreover, we continuously develop a data lake that accumulates all this information. This means that all your raw data, processed results, metadata, and even the internal data from connected applications are securely preserved forever within a unified cloud data lake. Analyses can be executed automatically, and metadata can be appended without manual input. Additionally, results can be seamlessly transmitted to any application or pipeline, and even back to the instruments for enhanced control, thereby streamlining the entire research process. This innovative approach not only increases efficiency but also significantly improves data management.
Description
Kylo serves as an open-source platform designed for effective management of enterprise-level data lakes, facilitating self-service data ingestion and preparation while also incorporating robust metadata management, governance, security, and best practices derived from Think Big's extensive experience with over 150 big data implementation projects. It allows users to perform self-service data ingestion complemented by features for data cleansing, validation, and automatic profiling. Users can manipulate data effortlessly using visual SQL and an interactive transformation interface that is easy to navigate. The platform enables users to search and explore both data and metadata, examine data lineage, and access profiling statistics. Additionally, it provides tools to monitor the health of data feeds and services within the data lake, allowing users to track service level agreements (SLAs) and address performance issues effectively. Users can also create batch or streaming pipeline templates using Apache NiFi and register them with Kylo, thereby empowering self-service capabilities. Despite organizations investing substantial engineering resources to transfer data into Hadoop, they often face challenges in maintaining governance and ensuring data quality, but Kylo significantly eases the data ingestion process by allowing data owners to take control through its intuitive guided user interface. This innovative approach not only enhances operational efficiency but also fosters a culture of data ownership within organizations.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Apache Spark
BiG EVAL
Elasticsearch
Hadoop
HashiCorp Vault
Microsoft Excel
MySQL
OpenText Data Privacy & Protection Foundation
Talend Data Preparation
Integrations
Amazon Web Services (AWS)
Apache Spark
BiG EVAL
Elasticsearch
Hadoop
HashiCorp Vault
Microsoft Excel
MySQL
OpenText Data Privacy & Protection Foundation
Talend Data Preparation
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Ganymede
Country
United States
Website
www.ganymede.bio/
Vendor Details
Company Name
Teradata
Founded
1979
Country
United States
Website
kylo.io
Product Features
Medical Lab
Audit Trail
Data Analysis Auditing
Data Security
EMR Interface
Fax Management
Lab Instrument Interface
Multi-Location Printing
Online Instrumentation
Physician Test Panels
Procedure-Based Billing
Sample Tracking
Product Features
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Lineage
Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface