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DataBuckEnsuring the integrity of Big Data Quality is crucial for maintaining data that is secure, precise, and comprehensive. As data transitions across various IT infrastructures or is housed within Data Lakes, it faces significant challenges in reliability. The primary Big Data issues include: (i) Unidentified inaccuracies in the incoming data, (ii) the desynchronization of multiple data sources over time, (iii) unanticipated structural changes to data in downstream operations, and (iv) the complications arising from diverse IT platforms like Hadoop, Data Warehouses, and Cloud systems. When data shifts between these systems, such as moving from a Data Warehouse to a Hadoop ecosystem, NoSQL database, or Cloud services, it can encounter unforeseen problems. Additionally, data may fluctuate unexpectedly due to ineffective processes, haphazard data governance, poor storage solutions, and a lack of oversight regarding certain data sources, particularly those from external vendors. To address these challenges, DataBuck serves as an autonomous, self-learning validation and data matching tool specifically designed for Big Data Quality. By utilizing advanced algorithms, DataBuck enhances the verification process, ensuring a higher level of data trustworthiness and reliability throughout its lifecycle.
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QuickbaseTransforming your operations can be achieved by implementing workflows and ensuring real-time visibility, enabling your teams to adapt swiftly to change. To enhance insight and automation within intricate systems and processes, it's essential to integrate and connect data, workflows, and procedures effectively. This will allow you to quickly adjust your operations to seize new opportunities while also mitigating potential risks. Customizing workflows to align with the evolving needs of your workforce is crucial. You can develop new workflows in just days, instead of weeks, to tackle emerging challenges and support innovative work methods. Establish a connected, governed ecosystem of digital solutions designed to safeguard your most critical data and operational processes. By revolutionizing the way your data is utilized, you can empower your workforce to generate real-time insights through a cohesive platform. Unlock your team's full potential and enhance collaboration. Quickbase is now at your disposal, ready to propel your organization forward.
What is Kodex?
The discipline of privacy engineering is rapidly expanding and intersects with multiple sectors, such as data engineering, information security, software development, and privacy law. Its main aim is to guarantee that personal information is processed and protected in accordance with legal requirements, all while maximizing individual privacy. Security engineering not only forms a crucial aspect of privacy engineering but also stands as an independent field focused on the secure handling and storage of sensitive information. Organizations that manage sensitive or personal data must elevate their focus on both privacy and security engineering practices. This urgency is amplified for those involved in data engineering or data science, where the intricacies of data management significantly increase. Furthermore, the successful integration of these principles is essential for fostering trust and ensuring compliance in our contemporary data-centric environment. As the landscape continues to evolve, staying ahead in privacy practices will become increasingly important for organizations aiming to uphold their reputations and legal obligations.
What is CipherTrust Tokenization?
CipherTrust Tokenization greatly reduces the costs and effort required to comply with security policies and regulations like PCI DSS, while also offering a straightforward method for protecting other sensitive information such as personally identifiable information (PII). While the market lacks universally accepted standards for tokenization, most solutions can be divided into two primary types: vaultless and vaulted tokenization, both designed to secure and anonymize sensitive data effectively. This tokenization software can be implemented across various environments, including traditional data centers, expansive big data infrastructures, or cloud services. By adopting tokenization, businesses can remove cardholder data from the PCI DSS compliance scope with minimal investment and effort, resulting in substantial savings on compliance-related costs. In the current landscape of IT infrastructures, ensuring the safe management of PII is paramount. With CipherTrust tokenization, organizations can protect PII efficiently, avoiding the typical complexities of encryption key management that often challenge software developers, thus optimizing data security workflows. This cutting-edge approach not only simplifies the compliance process but also bolsters overall data governance strategies, ultimately promoting a more secure handling of sensitive information. Moreover, it allows organizations to focus on their core business operations while maintaining high standards of data security.
Integrations Supported
.NET
Apache Cassandra
Azure Marketplace
CipherTrust Data Security Platform
Google Cloud Platform
Java
Microsoft Hyper-V
MySQL
Oracle Database
SQL Server
Integrations Supported
.NET
Apache Cassandra
Azure Marketplace
CipherTrust Data Security Platform
Google Cloud Platform
Java
Microsoft Hyper-V
MySQL
Oracle Database
SQL Server
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
Kodex
Company Website
heykodex.com
Company Facts
Organization Name
Thales Cloud Security
Company Location
United States
Company Website
cpl.thalesgroup.com/encryption/tokenization
Categories and Features
Data Privacy Management
Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification