Big data is the latest buzz word in today’s technology era. The Big data, as the name depicts the voluminous data- both of type structured and unstructured- that produced in a business on a daily basis. Big data overcomes the limitation of traditional data-processing application software of analysing, extracting information, and dealing with datasets.
What is the Big Data platform?
Data management vendors offer several Big data platform tools that help to achieve scalability, availability, performance, and security of data and in turn of the parent organization. This platform is most suitable for organizations that produce a large volume of multi-structure data in real-time. This data can be used for analytics purposes and can build a strong foundation for decision-making and deciding strategic business moves.
Big data features 7V’s and they are Volume, velocity, Variety, Variability, Veracity, Visualization, and Value.
What is the importance of Big data platform?
Big data not only deals with voluminous structured and or unstructured data but also defines the way of the utilization of collected data. Big data platform can be proven beneficial in the following terms:
- Time savings
- Knowing the market trends
- Online reputation management
- Big data analytics lifts up customer retention and acquisition
- Encourage innovations and product development
- Better exposure for market strategies
How Big data redefines data management?
When an organization adopts Big data platforms, there is an obvious need for professional data management of the voluminous data. Organizations themselves also can handle data management by various data discovery and data preparation tools.
Following are some best practices that organizations follow with Big data management:
- Make a team from the departments to make a comprehensive Big data management
- Come with a well-written strategy and policies for data lifecycle management.
- Identify and protect sensitive data
- Deploy strong identity and access management controls that include an audit trail.
- Make your employees well-trained
- Allow data-sharing across the organization
- How about appointing a chief data officer?
What are different Big data management services?
The vendor can provide different Big data management tools depending upon the organization’s data requirements. There are some generic types of Big data management capabilities are:
Data cleansing – Find and fix errors in the data sets.
Data integration – combining data from two or multiple sources.
Data migration – moving data from one environment to another like uploading data from data centers to the cloud.
Data preparation – prepare data for analytics and other application usage purpose.
Data enrichment – improve data quality by correcting trivial errors or extrapolating new information from raw data.
Data analytics – analyzing data with diverse algorithms to get insights.
Data quality – maintain data accuracy and reliability.
Master data management (MDM)–linking critical enterprise data to one master source set.
Data governance – ensuring the data governance capabilities like availability, integrity, the usability of data.
Extract transform load (ETL) – transfer data from an existing repository to a database or data warehouse.
With these data management capabilities, Big data management improves data management in an efficient way.
The technology world myths like ‘data is new fuel’ or ‘data is new science’, perfectly describes the amplified importance of data. The Big data platform outperforms your peers. Set your eyes on big data and conquer the new destinations in your business with Big data management.