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What is PHEMI Health DataLab?

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.

What is Codified?

Codified simplifies governance by enabling users to state rules like, "support engineers can access customer data only when assigned to a support ticket." It features a comprehensive data catalog, a robust policy engine, and an efficient workflow manager. This results in a streamlined, agile approach to data governance that not only cuts operational costs and boosts productivity but also enhances security measures. Traditional data access controls, often formatted as ACLs or JSON policies, can be cumbersome and hard to interpret, leading to incomplete policy descriptions. Unlike these methods, Codified empowers you to articulate your organization's policies in plain English, while also offering mechanisms to ensure their accuracy and thoroughness. This innovative approach not only fosters clarity but also encourages collaboration among teams in understanding governance requirements.

Media

Media

Integrations Supported

Tableau
Amazon DynamoDB
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Hive
Apache Spark
Azure Service Fabric
Cloudera
Databricks Data Intelligence Platform
Google Cloud BigQuery
Hadoop
JSON
Microsoft Azure
Microsoft Power BI
MongoDB
Okta
Salesforce
SingleStore
Snowflake

Integrations Supported

Tableau
Amazon DynamoDB
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Hive
Apache Spark
Azure Service Fabric
Cloudera
Databricks Data Intelligence Platform
Google Cloud BigQuery
Hadoop
JSON
Microsoft Azure
Microsoft Power BI
MongoDB
Okta
Salesforce
SingleStore
Snowflake

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

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Company Facts

Organization Name

Codified

Date Founded

2023

Company Location

United States

Company Website

www.codified.io

Categories and Features

Big Data

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

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 Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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 Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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