Codex Datalake Engine makes your data trustable
Data is critical, it enables innovation and competitive differentiation. Data-driven organizations have better decision-making abilities with an immediate positive impact, but managing data is a hot challenge. Digital transformation requires robust and suitable data architecture.
“Though 85% of companies are trying to be data-driven, only 37% of that number say they’ve been successful”
“About three out of five people in leadership roles say a failure to get on board with big data could lead to obsolescence”
“As of this moment, only 0.5% of all accessible data is analyzed and used. Imagine the potential here”.
What is Codex Datalake Engine?
Codex Datalake Engine is a consistent data management and security appliance, providing data governance and the management of the complete data life-cycle, from data ingestion, data cleansing, data blending, data discovery, audit, data lineage and policy enforcement. Codex Datalake Engine provides full visibility and control over data.
Codex Datalake Engine is delivered as an appliance that features BullSequana S, one of the most agile, scalable and open servers. With its dynamic reconfiguration capabilities, BullSequana S server combines exceptional performance with unprecedented levels of agility and efficiency. Codex Datalake Engine is Cloudera certified.
Codex Datalake Engine addresses the needs of all stakeholders interacting with data
Chief data officers, data stewards have the following concerns:
- How is data being used?
- How can data be optimized?
- How to efficiently manage the lifecycle of your data?
- How to overcome data silos?
- How to ensure data regulations are met?
Compliance groups track and protect access to sensitive data. Their primary task is to always be prepared for an audit: tracking who is accessing data, what data they are accessing and what it is being used for. Their job is to ensure that sensitive data is well governed and protected and in line with General Data Protection Regulation (GDPR) within the European Union and the European Economic Area.
Data scientists, AI and analytics developers need to find the data that matters the most for their business. They want to be able to explore data, trust what they find, and be able to visualize relationships between data sets and make the most from their data.