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Average Ratings 0 Ratings
Description
Introducing the world’s pioneering end-to-end platform designed for all your AI-driven innovation requirements—from data cleansing and organization to the creation and deployment of sophisticated data science models, as well as the integration of advanced analytics algorithms featuring built-in Recommendation AI; our platform also simplifies outcome interpretation with intuitive visualization dashboards and employs Explainable AI to trace the origins of outcomes. FutureAnalytica delivers a comprehensive, seamless data science journey, equipped with essential attributes such as a powerful Data Lakehouse, an innovative AI Studio, an inclusive AI Marketplace, and a top-notch data science support team available as needed. This unique platform is specifically tailored to streamline your efforts, reduce costs, and save time throughout your data science and AI endeavors. Start by engaging with our leadership team, and expect a swift technology evaluation within just 1 to 3 days. In a span of 10 to 18 days, you can construct fully automated, ready-to-integrate AI solutions using FutureAnalytica’s advanced platform, paving the way for a transformative approach to data management and analysis. Embrace the future of AI innovation with us today!
Description
Google Cloud Lakehouse is a modern data storage and management solution that combines the capabilities of data warehouses and data lakes into a unified platform. It enables organizations to store, access, and analyze data in open formats like Apache Iceberg, Parquet, and ORC without duplication. By maintaining a single source of truth, the platform eliminates the need for complex data movement and reduces operational overhead. It offers fine-grained security controls, allowing organizations to manage access and governance policies effectively. The Lakehouse runtime catalog provides centralized metadata management and simplifies resource organization. The platform supports scalable analytics and integrates seamlessly with tools like Apache Spark for advanced data processing. It is designed to handle large-scale data workloads while maintaining high performance and reliability. Built-in best practices and guides help users optimize their data architecture. It also supports replication and disaster recovery for enhanced resilience. Overall, Google Cloud Lakehouse provides a flexible and efficient way to unify and analyze enterprise data.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Apache Iceberg
Apache Spark
Azure Data Lake
Google Cloud BigQuery
Google Cloud Storage
Presto
Integrations
Amazon S3
Apache Iceberg
Apache Spark
Azure Data Lake
Google Cloud BigQuery
Google Cloud Storage
Presto
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$5 per TB
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
FutureAnalytica
Country
India
Website
www.futureanalytica.com
Vendor Details
Company Name
Founded
1998
Country
United States
Website
docs.cloud.google.com/lakehouse/docs
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge