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features
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support

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Description

Cloud Datalab is a user-friendly interactive platform designed for data exploration, analysis, visualization, and machine learning. This robust tool, developed for the Google Cloud Platform, allows users to delve into, transform, and visualize data while building machine learning models efficiently. Operating on Compute Engine, it smoothly integrates with various cloud services, enabling you to concentrate on your data science projects without distractions. Built using Jupyter (previously known as IPython), Cloud Datalab benefits from a vibrant ecosystem of modules and a comprehensive knowledge base. It supports the analysis of data across BigQuery, AI Platform, Compute Engine, and Cloud Storage, utilizing Python, SQL, and JavaScript for BigQuery user-defined functions. Whether your datasets are in the megabytes or terabytes range, Cloud Datalab is equipped to handle your needs effectively. You can effortlessly query massive datasets in BigQuery, perform local analysis on sampled subsets of data, and conduct training jobs on extensive datasets within AI Platform without any interruptions. This versatility makes Cloud Datalab a valuable asset for data scientists aiming to streamline their workflows and enhance productivity.

Description

Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages: Lets analysts work with data without breaching privacy guidelines Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data. Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage. Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns. Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines. Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Apache Hive No 
Apache Ranger No 
Apache Spark No 
Cloudera No 
DataLab Yes 
Google Cloud Platform Yes 
Google Workspace Yes 
Hadoop No 
Jupyter Notebook Yes 
Microsoft Azure No 
Microsoft Power BI No 
Tableau No 

Integrations

Amazon Web Services (AWS) Yes 
Apache Hive Yes 
Apache Ranger Yes 
Apache Spark Yes 
Cloudera Yes 
DataLab No 
Google Cloud Platform No 
Google Workspace No 
Hadoop Yes 
Jupyter Notebook No 
Microsoft Azure Yes 
Microsoft Power BI Yes 
Tableau Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Contact PHEMI to learn about our value-based pricing.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Google

Founded

1998

Country

United States

Website

cloud.google.com/datalab

Vendor Details

Company Name

PHEMI Systems

Founded

2013

Country

Canada

Website

www.phemi.com

Product Features

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing Yes 
High Volume Processing Yes 
No-Code Sandbox No 
Predictive Analytics Yes 
Templates No 

Data Governance

Access Control Yes 
Data Discovery Yes 
Data Mapping Yes 
Data Profiling Yes 
Deletion Management No 
Email Management No 
Policy Management Yes 
Process Management Yes 
Roles Management Yes 
Storage Management Yes 

Data Lineage

Database Change Impact Analysis No 
Filter Lineage Links No 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View No 

Data Management

Customer Data No 
Data Analysis Yes 
Data Capture No 
Data Integration Yes 
Data Migration No 
Data Quality Control No 
Data Security Yes 
Information Governance Yes 
Master Data Management No 
Match & Merge No 

Data Privacy Management

Access Control Yes 
CCPA Compliance Yes 
Consent Management Yes 
Data Mapping Yes 
GDPR Compliance Yes 
Incident Management No 
PIA / DPIA No 
Policy Management Yes 
Risk Management Yes 
Sensitive Data Identification Yes 

Data Security

Alerts / Notifications No 
Antivirus/Malware Detection No 
At-Risk Analysis No 
Audits No 
Data Center Security No 
Data Classification Yes 
Data Discovery Yes 
Data Loss Prevention No 
Data Masking Yes 
Data-Centric Security Yes 
Database Security No 
Encryption Yes 
Identity / Access Management Yes 
Logging / Reporting No 
Mobile Data Security No 
Monitor Abnormalities No 
Policy Management Yes 
Secure Data Transport No 
Sensitive Data Compliance Yes 

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Alternatives

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