7 Data Management Tools

Data management is defined as a comprehensive collection of concepts, practices, processes and also wide range of accompanying systems which allow an organisation to gain control of its data resources. Data management is an overall practice which is involved with the entire lifecycle of a given data asset from the original creation point to its final retirement, how it progresses and changes throughout its lifetime through the internal data streams of any enterprise.

• Data management covers the following operations
•  It is to create, access and update data across diverse data tiers.
• Store data cross apps, analytics and algorithms
• Provide high availability and disaster recovery
• Secure data and provide piracy.
• To store and destroy data based on retention rules and compliance requirements.

The most used, all over which belong to the industry’s biggest software groups whose experience guarantees a high degree of performance, security, efficiency, effectiveness, elimination of data redundancy and privacy which is necessary for all the companies. These tools are leaving the entire organisation’s information in the care of external vendors. There are many data management tools are:

1. Oracle Data management suite

This is comprehensive platform that delivers a suite of solutions that enable users to build deploy and manage data-driven projects by delivering consolidated, consistent and authoritative master data across an enterprise and distributes information to all operational and analytical applications. It enables data governance collaboration and can change awareness throughout the enterprise.

2. SAP Data management tools

It is integrated technology platform that uses a single point to access all data while the transactional, analytical, structured or unstructured across on-premise and cloud based solutions. It gives access to metadata management tools that enable an good data management process take advantage to the cloud benefits, which include low cost ownership, elasticity, sever-less principles, high availability, resilience and autonomous behaviour.

3. IBM Infosphere Master Data management server

It is a comprehensive tool that helps to manage enterprise data that is present into the single trusted view and deliver analytic capabilities. It has a security system, transaction control, multi-domain support, event management and data quality analysis. It handles all aspects of critical enterprise data, regardless of system model and delivers actionable insights, instant business value alignment and compliance with data governance, rules and policies all over the enterprise.

4. Microsoft Master Data services

This platform will have a suite of services that enables users to manage a master set of organisation’s data. Data can be organised in models. It can be updated by building rules and also can access controls to authorise who updates the data. It enables users to develop MDM solutions. The MDM solutions are built over an SQL Server database technology. It is used for back-end processing. It has service oriented architecture endpoints using windows communication foundation and also this will implements a hub architecture using MDS to create centralised and synchronised data sources to reduce the data redundancies all the systems.

5. Dell Bhoomi

It is an enterprise grade platform which is unified and versatile, leveraging all the advantages of the cloud. The platform will be designed to provide ease of use and high productivity by  connecting the applications and data sources across a hybrid IT landscapes, by synchronising and enriching data over a centralised data hub, achieving interoperability between the internal systems and external systems and external partners.

It is exposing underlying data APIs to deliver scalable and secure,real time interactions. By transforming manual process into automated processes with flexible business logic.

6. Talend

Single, open platform for data integration, data management, enterprise application integration and data quality, cloud storage and big data across cloud and on-premise environments. It helps transform data  into the business insights to help companies make real time decisions and become data driven.

7. Tableau

Tableau is an interactive data visualisation solution that helps users that see and also understand data. It also helps to simplify the data which is into easily understandable kind for smart data analysis. Visualisations will be created in type of dashboard and worksheets through some key features that include data blending, real-time analysis and data collaboration.

Questions

1. What is the meaning of data management?
2. explain some tools of data management?