Big data management

What Are the Best All-In-One Tools to Manage Digital Data?

  |   Business consulting services   |   No comment

Big good data management: Our daily lives are filled with data. Data now drives everything and has become an important and valuable resource for any organization as it is received from many different sources. But what makes data valuable? Manipulating data to find out its potential is what gives data its value. This is where data management comes into the picture.

What is data management? | Big good data management

In simple terms, data management aims to simplify the optimization of data used to drive decision-making processes in an organization by collecting, storing, and using data in a secure, efficient, and cost-effective manner. Big good data management covers the following operations:

  • Create, access, and update data across multiple data tiers.
  • Store data across clouds and on-premise.
  • Use data across apps, analytics, and algorithms.
  • Provide high availability and disaster recovery.
  • Secure data and provide privacy.
  • Archive and destroy data according to retention rules and compliance requirements.

Data management tools | big good data management

The tools used to process, analyze, store, and discover value in an organization’s data decide the success of data management. In fact, these tools are heterogeneous multi-platform data management systems.

The most widely used data management tools are owned by the biggest software companies in the industry, whose experience ensures a high level of performance, security, efficiency, effectiveness, data redundancy elimination, and privacy. Here’s a list of the most well-known data management tools on the market.

Oracle Data Management Suite | big good data management

A comprehensive platform that offers a set of solutions for users to build, deploy, and manage data-driven projects by delivering consolidated, consistent, and authoritative master data across an enterprise and distributing it to all operational and analytical applications. It allows data governance and quality, policy compliance, repeatable business processes, cross-functional collaboration, and change awareness throughout the enterprise.

SAP Data Management | big good data management

An integrated technology platform that provides access to all data, whether transactional, analytical, structured, or unstructured, across on-premise and cloud-based solutions, through a single point of contact. It gives you access to metadata management tools to help you create an intelligent data management process by leveraging cloud benefits like low cost of ownership, elasticity, server less principles, high availability, resilience, and autonomous behavior.

IBM Info sphere Master Data Management Server | big good data management

A comprehensive tool for managing enterprise data, presenting it in a single trusted view, and providing analytic capabilities. It includes a security system, multi-domain support, transaction control, event management, and data quality analysis. It manages all aspects of critical enterprise data, regardless of system or model, and provides actionable insights, immediate business value alignment, and enterprise-wide compliance with data governance, rules, and policies. IBM Info sphere manages data throughout the entire information lifecycle.

Microsoft Master Data Services | big good data management

A platform that includes a suite of services for users to manage a master set of data for an organization. Data can be organized in models, updated through rules, and accessed via access controls who update the data. It allows users to create MDM solutions based on SQL Server database technology for back-end processing. It implements a hub architecture using MDS to create centralized and synchronized data sources to reduce data redundancies across systems and provides service-oriented architecture endpoints using Windows Communication Foundation (WCF).

Dell Boomi | big good data management

An enterprise-grade platform that is unified and versatile, leveraging all of the cloud’s benefits. Easy-to-use and highly productive features of the platform include:

  • Connecting all data sources and applications across a hybrid IT landscape.
  • Synchronizing and enriching data via a centralized data hub.
  • Achieving interoperability between external partners and internal systems.
  • Making real-time interactions scalable and secure by exposing underlying data as APIs.
  • Changing manual processes into automated processes with flexible workflow capabilities and business logic.

Talend | big good data management

A single, open platform for data integration, data management, enterprise application integration, data quality, cloud storage, and Big Data across on-premise and cloud environments. It helps convert data into business insights so companies can make decisions instantly and become data-driven.   

Tableau | big good data management

An interactive data visualization solution that allows users to see and understand data. It simplifies raw data into an easily understandable format for smart data analysis. With key features such as data blending, real-time analysis, and data collaboration, visualizations are created in the form of worksheets and dashboards.  

Amazon Web Services – Data Lakes and Analytics | big good data management

A comprehensive set of services that offer the necessary solutions to build and manage a data lake for analytics. AWS-powered data lakes can handle the scale, flexibility, and agility needed to combine different types of data and analytics approaches to gain more profound insights. AWS provides a full range of services for data movement, archiving, and analysis.

Google Cloud – Big Data analytics | big good data management

A solution platform that offers a wide range of tools for cloud-based data management, as well as a workflow manager to tie components together, such as Cloud BigTable for NoSQL database-style storage, BigQuery for tabular data storage, ML Engine for advanced analysis via machine learning and artificial intelligence, Cloud Pub and Cloud Data Transfer for data intake, Data Studio for GUI-based analysis and dashboard construction, Cloud Datalab for code-based data science, and connections to BI tools such as Tableau, Looker, Chartio, Domo, and more.

Final Words

Element Technologies has proved its success in data management and comprehensive information systems for our clients. We use a wide range of emerging and well-established tools in the technology ecosystem and effectively harness the inherent value of data to derive valuable insights and intelligence.

We’ve said it before, and we’ll repeat it: the future is data-driven, so it’s important and necessary to develop and implement a thorough data management strategy that takes into account your company’s requirements for maximizing the value of its data capital.

We are confident that we can be your one-stop partner solution for organizing and implementing your data management strategies because we have experts in our ranks who are accomplished in various data management tools. Contact us, and we’ll be happy to provide you with more information about how we can help you with your data management projects.

Read More:

5 Tips for Successful Project Management in Clinical Research

Why is SAS preferred in clinical trials over other software?


No Comments

Post A Comment