Data just keeps getting bigger and more diverse. Separating the core from the noise is getting harder and harder. According to Dataversity: “Data Management is a comprehensive collection of practices, concepts, procedures, processes, and a wide range of accompanying systems that allow for an organization to gain control of its data resources.“
This process involves:
It can empower you by transforming all your data into insight, answer your questions, and act at the moment.
Data management helps you solve big data, real-time analytics, or data modeling problems. Applying best practices leads to the efficient use of information systems, which is essential for developing a holistic view of information. There are 5 approaches to data management.
Based on these 5 approaches, we have listed some data management tools.
Here is a list of 9 data management tools on the market owned by major vendors. Let’s have a look at their features.
It is a unify intelligent data platform that is open and enterprise-ready to meet your daily needs. This tool uses a single point of access to all data, whether transactional, analytic, structured or unstructured, in on-premises and cloud solutions. It provides access to metadata management tools to enable intelligent data management by taking advantage of the benefits of cloud computing, which include:
This tool helps to build a data management process in a corporation, but this platform will work for their corporate business apps as well.
IBM Master Management is designed specifically to help you know, trust and use your data throughout the whole information life cycle. MDM empowers you with trusted master data at the 360-degree view to drive better business insights and transformation. The solution is built on the flexibility of an open data platform with best-in-class security and governance to create a modern analytics enterprise foundation that meets the demands of your business on-premises, on cloud and hybrid at any scale. This tool provides secure, governed and self-advice access to trusted data across the enterprise for experimentation and collaboration.
MDM provides clean, consistent and timely information for big data projects.
This tool works with SQL Server (all supported versions) only on Windows. Managing an organization’s core dataset includes:
The MDM project mainly involves the assessment and restructuring of internal business processes. A successfully implemented MDM solution results in reliable, centralized data available for analysis and leading to better business decisions.
It is a cloud-native, unified, open, intelligent enterprise platform that makes it easy to connect data from different applications. The scope of applications includes cloud analytics and deep learning. With Boomi you can:
Talend is a software integration platform that provides solutions for data integration, data quality, data management, data preparation and big data. Plus, it is the only ETL tool with all plugins that integrate seamlessly with the big data ecosystem. According to Gartner, Talend is in the magic quadrant of leaders for data integration tools.
This tool is very cloud-centric as data-organization. Its primary pattern involves the data-lake layer trying to bring data into the cloud in its native format using AWS S3 buckets. A data lake on its own is useless. Data governance is critical. It’s important to make sure that data is well understood, well looked after, the right people have got the data. Talend acts as a catalogue, transformation and data-preparation technology.
It is an interactive analytics system that allows in the shortest possible time to conduct a deep and versatile analysis of large amounts of information and does not require training for business users and costly implementation.
Advantages of Tableau:
This tool is a whole platform for working with data in the cloud and also integrates several featured products:
This tool allows you to quickly get the necessary answers as a result of the analysis of the entire data set.
Thanks to this tool, users can create, deploy, and manage data-driven projects across the enterprise. The program consolidates and structures this data in advance.
Innovation is driven by data, therefore, it is very important to create the right data management system that meets the needs of your company. It is not so important whether it is a Tableau or an Oracle product, the main thing is that your data was useful to you. Stay tuned for our new posts!