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What is Google VPC Service Controls?

VPC Service Controls offer a managed networking solution for your assets within Google Cloud. New users receive $300 in free credits to explore Google Cloud services during their initial 90 days. Moreover, all users can utilize select products, including BigQuery and Compute Engine, without incurring costs, as long as they stay within certain monthly usage limits. By segregating multi-tenant services, you can greatly mitigate the risks of data exfiltration. It's essential to make sure that sensitive data can only be accessed from authorized networks. Access to resources can be further limited based on allowed IP addresses, specific user identities, and trusted client devices. VPC Service Controls enable you to specify which Google Cloud services are accessible from a particular VPC network. By implementing a security perimeter with these controls, resources involved in multi-tenant services can be effectively isolated, thereby reducing the chances of data breaches or unauthorized access. Additionally, you can create private communication channels between cloud resources, making hybrid deployments that connect both cloud and on-premises environments smoother. Utilizing fully managed solutions such as Cloud Storage, Bigtable, and BigQuery not only enhances your cloud experience but also optimizes operational efficiency. These tools play a vital role in improving the productivity of your cloud resource management while ensuring a secure and efficient environment for your data.

What is Google Cloud Datalab?

Cloud Datalab serves as an intuitive interactive platform tailored for data exploration, analysis, visualization, and machine learning. This powerful tool, created for the Google Cloud Platform, empowers users to investigate, transform, and visualize their data while efficiently developing machine learning models. Utilizing Compute Engine, it seamlessly integrates with a variety of cloud services, allowing you to focus entirely on your data science initiatives without unnecessary interruptions. Constructed on the foundation of Jupyter (formerly IPython), Cloud Datalab enjoys the advantages of a dynamic ecosystem filled with modules and an extensive repository of knowledge. It facilitates the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, using Python, SQL, and JavaScript for user-defined functions in BigQuery. Whether your data is in the megabytes or terabytes, Cloud Datalab is adept at addressing your requirements. You can easily execute queries on vast datasets in BigQuery, analyze local samples of data, and run training jobs on large datasets within the AI Platform without any hindrances. This remarkable flexibility makes Cloud Datalab an indispensable tool for data scientists who seek to optimize their workflows and boost their productivity, ultimately leading to more insightful data-driven decisions.

Media

Media

Integrations Supported

Google Cloud Platform
Amazon S3
Amazon Web Services (AWS)
Beats
Coralogix
DataLab
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Storage
Google Workspace
Jupyter Notebook

Integrations Supported

Google Cloud Platform
Amazon S3
Amazon Web Services (AWS)
Beats
Coralogix
DataLab
Google Cloud BigQuery
Google Cloud Bigtable
Google Cloud Storage
Google Workspace
Jupyter Notebook

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/vpc-service-controls/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/datalab

Categories and Features

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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