DataBuck
Ensuring 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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Semarchy xDM
Explore Semarchy’s adaptable unified data platform to enhance decision-making across your entire organization. Using xDM, you can uncover, regulate, enrich, clarify, and oversee your data effectively. Quickly produce data-driven applications through automated master data management and convert raw data into valuable insights with xDM. The user-friendly interfaces facilitate the swift development and implementation of applications that are rich in data. Automation enables the rapid creation of applications tailored to your unique needs, while the agile platform allows for the quick expansion or adaptation of data applications as requirements change. This flexibility ensures that your organization can stay ahead in a rapidly evolving business landscape.
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MANTA
Manta functions as a comprehensive data lineage platform, acting as the central repository for all data movements within an organization. It is capable of generating lineage from various sources including report definitions, bespoke SQL scripts, and ETL processes. The analysis of lineage is based on real code, allowing for the visualization of both direct and indirect data flows on a graphical interface. Users can easily see the connections between files, report fields, database tables, and specific columns, which helps teams grasp data flows in a meaningful context. This clarity promotes better decision-making and enhances overall data governance within the enterprise.
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SecurEnds
SecurEnds offers cloud software designed to help leading-edge companies streamline various processes, including user access reviews, access certifications, entitlement audits, access requests, and identity analytics. With SecurEnds, you can utilize connectors and files to import employee information from Human Resources Management Systems such as ADP, Workday, Ultipro, and Paycom. The platform also facilitates identity extraction from a multitude of enterprise applications like Active Directory, Salesforce, and Oracle, as well as from databases such as SQL Server, MySQL, and PostgreSQL, along with cloud services including AWS, Azure, and Jira, through the use of both flexible and built-in connectors. User access reviews can be conducted as frequently as necessary based on role and attribute, ensuring ongoing compliance and security. Additionally, application owners have the option to track changes since the last review period with delta campaigns, while they can also issue remediation tickets for access updates directly. Auditors are empowered with access to comprehensive dashboards and remediation efforts, providing them with valuable insights into the access management process. This multifaceted approach not only enhances security but also optimizes operational efficiency within organizations.
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