Effective Management Solutions for Big Data

Storing, processing, and efficient management are three basic challenges related to Big Data. Presently, there is not a large enough capacity to store the amount of data that has been created in the digital world during the last few years. Big data is the result of measuring and monitoring practically everything going on in the world, creating data at a faster rate than can be stored, processed, or managed by currently-available technologies. Interestingly, the vast majority of Big Data is either duplicated or synthesised data. This surge of unstructured data makes up as much as 80% of new data that must be managed. This has put many enterprises in a position where they need to come up with efficient management solutions for Big Data.

Why Manage Big Data?

The broad concept known as Big Data management encompasses all the technology and procedures used to collect, store, organise, and deliver vast caches of data. It involves data migration, cleansing, integration, and preparation to be used in reporting and analytics. Big Data management is essential because it can improve the accuracy and reliability of analytics. This means your organisation can benefit from quality business insights resulting from the analytics.

Another benefit of good data management practices is enhanced marketing. Managing big data the right way boosts marketing, even though it is not as common a benefit as sales and customer service. You may notice enhancements in your marketing efforts or improvements in personalised and proactive customer communication as a result of data quality initiatives.

Big Data Management Solutions

These solutions are designed to help ingest, process, clean, govern, and secure big data so your organisation can consistently deliver trusted information for analytics.

Big Data and Cloud Computing

Cloud computing offers you the most cost-effective way to manage big data. It provides 100% guaranteed uptime and the ability to cope with increased storage and processing requirements through unlimited scalability. You may want to consider working with your Website Hosting provider as a Big Data resource as they typically have skilled and experienced staff available to help you with implementing your big data correctly. In addition, they may also have managed services which include big data solutions that can significantly reduce  waiting time for implementation.

Outline Your Goals

Having a plan beforehand will help you know the data you need to collect and what you need to filter out. Neglecting this will resulting in the piling up of large amounts of data, most of which has very little to do with your business and its needs. Therefore, it is crucial to involve your team in deciding what the key elements of your business are, and what relevant data should be collected. Certain businesses end up collecting completely irrelevant data because they lack clearly-outlined goals and structured plans for attaining their goals. It is essential to collect only relevant data so that you can use it effectively for your organisation. Therefore, you should have a plan of action before you begin.

Secure the Data

It is essential to ensure that your data is both accessible and secure. Otherwise, you’ll have gone through the difficult and costly process of data collection, only to lose it. Since you cannot analyse something you don’t have, take measures to implement firewall security, spam filtering, malware scanning, as well as permission control for your team. Some businesses collect client data through interactions between clients and products, or clients and their website. However, not all of these businesses try to implement measures and precautions to secure the data collected. Losing such data can have heavy consequences, such as losing your clients’ trust, financial difficulties because of heavy fines, or simply making your business crash. Data security should, therefore, never be taken lightly, as it has the power to make or break your business. In big data management, keeping your data secure is one of the most important steps to take. You may even require the help of a database services expert to keep you on the right path.

Virtualisation

Your organisation can effectively store and manage big data by making use of virtualisation. Through the virtualisation of big data, multiple applications can reuse the same data footprint. Smaller data footprints can also be stored as well. The process of reducing the data footprint, centralising the management of the data set, and virtualising the storage and reuse of the data, means that you can transform big data into smaller, more manageable, chunks of data. With a smaller data footprint, your organisation will significantly improve data management in some key areas:

●        Better accuracy in data analysis results because of the increased visibility of available data

●        Applications take less time to process data

●        Since data management is centralised, data is more secure, even with more access distribution

There are other benefits of big data virtualisation for organisations. Smaller but smarter data is easier to access, backup, and restore. Therefore, your big data can be backed up more effectively, be more easily accessible and be recoverable. You can also save up to 90% in financial costs, and free your IT staff from losing time engaging in a drawn-out struggle to control big data for your organisation. A smarter data-management approach increases flexibility, and can protect your users from being locked into their IT vendor.

Be open to change

Software and data continue to evolve, and it is important to keep up with the changes and new management trends for big data. To stay ahead of the curve, and build a better database, it is essential to stay up-to-date about the new products, tools, technologies, and tactics being introduced on a daily basis. Also, you should be flexible and open to accepting new methods of big data management. Focusing on the new ways to blend or join up distinct data sources and redefine your users’ experience of data will create a more interactive relationship with data. This, in turn, ensures that users drive information to insights and actions.

Managing big data is easier when you keep these solutions in mind. The key component is to always continue  learning, as there are no guarantees that the current database management strategies will last forever.