VisLAKE is
VisLake is GUI-based dashboard for Big Data infrastructure management and monitoring that can be accessed via a browser, which functions to monitor jobs activity, resources, availability, user management, access management to data objects, node, cluster or multicluster management, resource and load management (Workload Management), monitor jobs activity.
It also can be configured and integrated with email servers to get notifications in the form of emails that at least include job activity, resources and availability, system error/warning.It also enables business users to be able to do all types of complex data processing and analysis while interactively explore the data to discover new patterns and trends in one place.
It also has centralized management configuration, multi-cluster management, and rollback configuration based on a certain time. It also has capacity planning feature to configure hadoop cluster size.
ENTERPRISE DATA LAKE
An enterprise data lake is a vast centralized data repository that can store all your data -structured and unstructured, with almost unlimited scalability. Earlier organizations had to be selective about which data to store since data aggregation and storage was expensive and only very essential data was stored.
New data technologies and cloud platforms like data lakes have radically changed how organizations store and use data, they can literally store all their data in low-cost enterprise data lakes and query data as needed. Integrated and unified enterprise data lakes can have vast amounts of data coming in from multiple sources, and this data can be stored, structured, and analyzed to drive effective business decisions
LIMITLESS DATATYPE
Enterprise data lakes can store all types of data
Enterprise data lakes are flexible and can store all kinds of data including structured, unstructured, and semi-structured. Structured and semi-structured data includes JSON text, CSV files, website logs, or even telemetry data coming from equipment and wearable devices. An enterprise data lake supports storage of IoT type data for real-time analysis. Unstructured data could include photos, audio recordings and email files. Raw data in an enterprise data lake lends itself easily to the creation of Machine Learning (ML) models – access to huge amounts of data is a prerequisite in training ML models and making effective predictions from data for customer retention, equipment maintenance, managing inventory and more.
EASY TO USE
Analyze any data from unstructured, machine-generated, and traditional data sources anywhere, in a single data environment and dramatically shortened data lifecycle within days or minutes. It also provide centralized monitoring and real time information in the form of alerts or notifications in the form of email.
SECURITY
Security needs to be implemented in every layer of the Data lake. It starts with Storage, Unearthing, and Consumption. The basic need is to stop access for unauthorized users. It should support different tools to access data with easy to navigate GUI and Dashboards.
Authentication, Accounting, Authorization and Data Protection are some important features of data lake security.
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