Understanding Hybrid Data Management using Data Analytics

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There are different ways to understand the nature of organizational data. The growing complexities in the data management field have given rise to a new vertical in the Big Data Intelligence and Analytics domain. It’s called Hybrid Data Management.

Data Management Works with Management Information Systems (MIS)

Every organization is a data intensive market within itself. Different departments within the same organization are using data in different ways to make insightful decisions for their long term and short objectives. For example, marketing teams use data related to their marketing and advertising campaigns to build targeting and retargeting strategies. HR Teams use employee and people’s data and analytics to improve workforce performance. Finance and accounting team could be using revenue data to plan for the organizational budgeting in the next quarter. Above all, we can understand the importance of different types of data that a department within the organization uses by virtue of the impact and influence these leave on the overall enterprise management information systems (MIS).

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Why we Should Learn Hybrid Data Management

The rate at which companies are adopting Cloud and Mobile applications for various roles and functions could overwhelm any data analytics team. If you are working in one such company that uses Cloud and Mobile App platforms to process enterprise data, you are ought to understand the Hybrid Data management ecosystem.

Hybrid Data Management is a specialized field in the Big Data Intelligence and Analytics domain.

 Here is what you would be fielding with if you are training in Hybrid Data Management, also called HDM analytics:

  1. Big Data Structuring
  2. Data Visualization
  3. Predictive Analytics
  4. AI ML

Organizations collect, process and analyze data based on their internal capabilities. It would have been fairly easy to understand in the pre-Data governance era where companies would mine and analyze data arbitrarily without requiring to meeting any data management guidelines and policies. Things have changed in the last 5-6 years, especially after 2017 when the GDPR came into effect for global organizations operating in the EU.

Learning data management in a hybrid ecosystem becomes easy once you register in top data analytics certification. The certification courses cover the various ways organizations could use and build their own Big Data platform. These would ingest all of enterprise data, including structured and unstructured data.

HDM provides a solid ground to any business intelligence professional to understand the nature of data processed and analyzed for various functions. You could be working with any top-end Cloud management and IT services companies if you are certified in Data Analytics that covered HDM basics and core. IBM, Facebook, Google, Microsoft, Salesforce, Oracle and SAP use HDM.

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