Qlik Enterprise Manager

Qlik Enterprise Manager is your command center for configuring, running, and monitoring enterprise-wide replication and transformation tasks.

Fabricantes: QlikTech
Category: Utilitários
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What is Qlik Enterprise Manager?

Qlik Enterprise Manager is your command center for configuring, running, and monitoring enterprise-wide replication and transformation tasks.

Today, enterprises need to quickly integrate data and metadata at scale across heterogeneous environments for analytics. However, managing individual data streams across multiple endpoints can be extremely inconvenient, time-consuming, and inefficient.

Qlik Enterprise Manager provides an intuitive management interface for Attunity's data solutions. A graphical user interface helps you design, run, and monitor Qlik Replicate (formerly Attunity Replicate) and Qlik Compose (formerly Attunity Compose) tasks in large business scenarios.

An enterprise-wide replication console

Qlik Enterprise Manager simplifies enterprise-wide management of Qlik Replicate.

Design and execute batch loads and continuous capture of changed data (CDC) across all sources and destinations through a single pane of glass.

Enable massive management consolidation across dozens of Qlik Replicate servers and hundreds, if not thousands, of heterogeneous endpoints.

Monitor, analyze, and control

Track and analyze hundreds of real-time replication tasks in your environment, identifying and resolving issues to meet SLAs.

Augment capacity planning and load balancing decisions with intuitive historical charts.

Integrate with enterprise dashboards through programmable REST and .NET interfaces.

Visualize your transactional data pipeline

Visualize the flow of data across data lake zones (raw landing, change history mount zone, data mart provisioning zone).

Simultaneously monitor work and tasks across the enterprise to help with troubleshooting and remediation.

View real-time dashboards with KPIs such as task status, records processed, errors, and completion percentage.

Automated data management and integration

Consolidate and study technical metadata (table/column names, data types).

Track end-to-end data lineage to improve compliance, governance, and trust.

Integrate with standard Apache Atlas, Hortonworks DataPlane, and ODPi frameworks for enterprise-wide discovery and reporting.

System Requirements:

CPU: 1.8GHz dual-core processor

RAM: 2 GB

HDD/SSD: 50 GB free space on the main drive

Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit

Resolution: 1024×768

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