Platingnum Big Data

  Today, many companies have prioritized digital transformation as a critical component of their long-term growth plans. It goes without saying that data drives digital transformation; however, many companies find it difficult to harness mountains of data assets in order to expose business value and distil actionable perspectives for decision making. A strategic information management system is needed for efficient data handling. Simply stated, modern data infrastructure is needed to allow teams to provide actionable insights. Modern Data Platform – What is it? This can be illustrated as follows: A Technology lens : evaluates the technology needed for optimal data processing and control, resulting in business benefits. It encourages the evaluation of software and applications such as Cloud Data services, DevOps, Data Visualization, API management, and so on. A Market lens:  This calls for conversations on how data will have a real effect on the business – the business use case, the ind

  Before going to war, each General has to research his opponents: how large their army is, what their weapons are, how many fights they have had, and what key tactics they use. This expertise will make it possible for the General to devise the correct plan and be ready for war. Much like that, before going to big data, any decision-maker needs to know what they’re working with. Here, Platingnum addresses 7 global big data problems and proposes their solutions. Using this ‘inside knowledge,’ you’ll be able to take down frightening big data monsters without letting them defeat you in the fight to create a data-driven enterprise. Obstacle #1: Insufficient Knowledge and Recognition of Big Data Companies often do not really know the basics: what big data is, what its advantages are, what technology is required, etc. Without a simple understanding, a large data acquisition project risks being doomed to failure. Companies can spend a lot of time and money on items they don’t really know how

  Are you eager to get big data? Slow down and learn about the issues that can emerge when designing a big data project. As a data consulting services provider, Platingnum will help you overcome these issues and harness the full value of big data. Big data poses not only many challenges, but also severe threats. And here’s the difference between them. If you go to a store and a big puddle falls in the path, you might choose to walk past it or climb over it. If the puddle is too big, you would ask others to assist (turn to ‘puddle consultation’). After that, experts will clear the puddle. This is a challenge: an obstruction in the path that can be resolved very quickly. But later, you know that you need to walk through a bad neighbourhood to get to the store. Then it’d take too long to drive around so the store will close when you get here. It is a more basic topic that can trigger problems. Obviously, these walking issues cannot be compared to big data issues, but the idea is also the

  This year, companies have seen a number of improvements in the way they work. The pandemic has led the world to adopt digital patterns as a result of the massive impact on the economy. This condition has forced people to work from home instead of in the office. Safer workplace practises must be adopted by those working in workplaces. With the increase of emerging technologies, business intelligence has been revolutionised. The data has grown considerably and has become enormous. We’ve just got ties to the cloud. Spreadsheets eventually took a back seat to pragmatic & insightful data visualisation & interactive business dashboards. The BI landscape is changing and the future of BI is rising with new developments taking place in 2021. BI technologies and tactics will become more customised in 2021. Enterprises of all sizes are looking for the right BI solution for their individual company, instead of asking whether they need improved access to BI analytics. 2021 will include da

  Any company goes through the process of data migration at some stage or another for multiple purposes. The fundamental concept behind data transfer is to adjust the storage space; it can be moved from one server to another, or from one database to another, or to move data from one operating system to another. Businesses are following a simple procedure that involves three basic phases, (ETL) Extract/Transform/Load, irrespective of the data migration method. The last 2 steps will be taken during all migration phases. It is also clear that the data collected goes through several preparation steps, only after which it can be loaded to the target location. The causes vary from a major overhaul of the overall structure, an upgrade of the existing database, a mixture of new data from a newly acquired source, or an extension of the current one. No matter the reason, a proper migration plan is essential to efficient Data Migration. Data Migration Strategies are Crucial Irrespective of the sp

  According to the current DCMS Data Security Breaches Survey of July 2019, almost a third of companies (32% to be precise) have reported cyber security breaches or assaults in the last 12 months. High-profile infringements at British Airways and Marriott Hotels can hit the headlines, but smaller businesses fall prey to cyber criminals on a daily basis. Cyber fraud is costly and is likely to undermine the credibility of an organization. However, even with the increasing complexities of information technologies, securing the data in the cloud is easy if you observe best practice. In this blog, we’re looking at the cyber threats and applying some handy, useful advice to help you protect the data in the cloud. If you have any questions on cloud security, don’t hesitate to  get in contact with us  – We are happy to assist you. Risks to cloud security The best methods you’ve practised in-house should be followed in the cloud. As the popular phrase goes: there’s no cloud; it’s just someone e