Anzo Smart Data Lake®
End to End Enterprise Data Management, Data Exploration and Analytics
Anzo Smart Data Lake (ASDL) offers an end to end, fully integrated, highly customizable, and governed Big Data management and exploratory analytic solution for data-driven organizations.
ASDL works with any combination of diverse data far more quickly by deploying flexible graph models to deliver superior insights and actionable information.
Whether deployed behind the firewall or in the cloud, ASDL also works with third party plug-ins and other business applications.
Capabilities and Features
Data accumulates value as it flows through the four functional areas of ASDL. These semantic graph models uniformly represent data at rest, in flight, in memory, and at business users' fingertips – providing a highway for value generation.
Data Ingestion and Mapping: Rapidly load data from anywhere, in any format
ASDL ingests both structured and unstructured data through horizontally scaled, automated ETL. Most structured sources may be ingested without manual mapping. As a result, valuable analyst's time can be focused on collaborative mapping to refine the automated process with lightweight data preparation. Unstructured data is processed through configurable texts analytics and NLP pipelines. ASDL supports connectivity to both internal and external sources – including cloud or on-premise data lakes. Ingested into graph format, data comes to rest in scalable shared filed storage such as cloud buckets.
Data Cataloging: Secure, organize and govern all your data
ASDL catalogs data using active metadata management – graph models that describe data at a business level, capable of addressing all enterprise data sources. Users can then browse and discover data sets of interest in a secure and governed environment. Role-based security assures that only appropriate users can access, analyze or create new data sets. In addition, data and model governance assure trustworthy data and insights as your Smart Data Lake grows with the scale of your business.
In-Memory Massively Parallel Processing Query: Experience analytics, integration and exploration at enterprise scale
This industry leading In-Memory Massively Parallel Processing (MPP) Engine is the most advanced of its kind – allowing ad-hoc and interactive queries at a scale never before thought possible. Anzo Graph Query Engine (AGQE) scales across hundreds of Virtual Machines in the cloud or on-premise for analyzing data sets comprising trillions of interconnected facts and relationships (triples) – without query tuning or indexing.
Deployed with multiple cluster configurations, On-Demand Graphmarts spin up automatically into analytic environments as business needs peak for transformative cost savings in cloud computing and IT resources. AGQE combines document search through a tightly integrated search index.
Data is transformed and manipulated in-place within AGQE for a unique model-driven data integration and ELT capability. This late-binding data preparation offers relief from brittle ETL processes and is a key differentiator in how ASDL accelerates insight.
Discovery and Analytics: Conduct analysis and exploration across all of your data, independent of IT
Businesss users can ask and answer both ad-hoc and pre-determined questions with Custom User Dashboards. Without specialized query knowledge, users can traverse even the most complicated multi-dimensional data on the way to building exploratory charts, filters, tables and even network views. Furthermore, automatic query generation turns the imagination of the user into complex graph queries and AGQE has the speed to keep up with the answers.
While many users enjoy the visualization and analytic capabilities native to ASDL, self-service live extracts also allow users to off-ramp into their “last mile” analytics tools of choice. Upon finding interesting data sets through exploration in dashboards, users can use their favorite business intelligence or advanced analytics tools to produce a final analysis and then share the results within their organization.
Summary: Our accelerated insight and time to value differentiators
The three key differentiators that accelerate ASDL's time to value are:
- Graph Foundation - Graph models offer an inherent flexibility, pushing the modeling, integration and analytics decisions closer to the end-user, reducing time to value in dynamic business environments.
- In-Memory Speed and Scale - ASDL has horizontally scalable ingestion and query capabilities that channel the power of cloud computing into accelerating value.
- Model-driven intuition - ASDL’s Discovery and Analytics tools make it fast and easy to explore and analyze all of your data, including using your own toolsets.