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Top trends and best practices in Data Management

http://www.springbord.com - Across all industries, innovation is imperative. With the abundance in data sources and accessibility today, managing the unbelievable amount of data out there is the challenge. Understanding each piece of data, the correlation and how it is tied to the bigger picture helps make informed and statistics based decisions. Data Management plays a pivotal role in shaping a company's growth strategy based on thorough analysis and well laid out information

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Top trends and best practices in Data Management

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  1. Top trends and best practices in Data Management SPRINGBORD NOVEMBER 18, 2016 Springbord Across all industries, innovation is imperative. With the abundance in data sources and accessibility today, managing the unbelievable amount of data out there is the challenge. Understanding each piece of data, the correlation and how it is tied to the bigger picture helps make informed and statistics based decisions. Data Management plays a pivotal role in shaping a company's growth strategy based on thorough analysis and well laid out information. Here are some of the best practices and current trends in data management that one needs to be aware of - Use of Automation ? With the constant increase of data volumes and the demand for better management of data, managing data has become the most complex process for an organization. A shift towards the automation of process not only relieves strain, but also ease the constraint of budget and resources for a company. Most organizations are creating dynamic, automated tools to simplify their projects or simply outsourcing their data management needs to an expert in automating data. NoSQL Surge ? Going forward, a shift towards NoSQL databases, with the benefits of dynamic schemas and agility, will prove prove more scalable. Hadoop for Big Data ? A recent survey concluded that Hadoop is to become a core part data management. With this growing traction, an increased demand for faster data management capabilities will see a rampant use of technologies such as AtScale, Cloudera Impala and so on. On-demand Data Warehouse ? On-demand storage gives customers the flexibility to dynamically scale the storage space, thereby resulting in cost-cutting and resulting in higher ROI. Convergence of technologies ? Considering the power of seamless movement of data, cloud and data companies are working on the integration of IoT. Data Security ? Owing to the vulnerability and importance of the data available with most companies, database administrators need to have ongoing security checks to curb breaches. DataCleansing ? One of the important part of managing data quality is data cleansing. It helps remove invalid data and enrich the existing data.

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