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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Streamline your organization’s security processes by gathering, modifying, and unifying security data to leverage Palo Alto Networks solutions effectively. By simplifying security operations through the integration of enterprise data, you can enable advanced AI and machine learning capabilities that thrive on extensive data available at cloud scale. Enhance detection precision with access to trillions of artifacts from multiple sources, ensuring comprehensive protection. Cortex XDR™ stands out as the sole platform in the industry that combines prevention, detection, and response capabilities using fully integrated data from endpoints, networks, and the cloud. Prisma™ Access ensures consistent protection for your applications, remote networks, and mobile users, regardless of their location. A cloud-based architecture seamlessly connects all users to applications, accommodating those at headquarters, branch offices, or on the move. Furthermore, the synergy of Cortex™ Data Lake and Panorama™ management provides a cost-effective, cloud-oriented logging solution for Palo Alto Networks Next-Generation Firewalls, with zero hardware requirements and global accessibility. This holistic approach not only bolsters security measures but also facilitates operational efficiency across diverse environments.

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

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Amazon Web Services (AWS)
Apache Iceberg
Apache Spark
Azure Data Lake
Cortex Intelligent Automation
Google Cloud BigQuery
Google Cloud Storage
Microsoft Azure
Monad
Palo Alto Networks DNS Security Service
Presto
Prisma

Integrations

Amazon S3
Amazon Web Services (AWS)
Apache Iceberg
Apache Spark
Azure Data Lake
Cortex Intelligent Automation
Google Cloud BigQuery
Google Cloud Storage
Microsoft Azure
Monad
Palo Alto Networks DNS Security Service
Presto
Prisma

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

Cortex

Founded

2014

Country

United States

Website

www.paloaltonetworks.com/cortex/cortex-data-lake

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

docs.cloud.google.com/lakehouse/docs

Product Features

Product Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

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