How can you ensure database integrity in the face of new development trends?

Whether you’re looking to move away from legacy infrastructure that’s aging and inefficient, or you’re moving away from an unreliable firewall appliance or hardware or software solution that’s no longer running at peak capacity, you’re likely to want to experience the advantages of cloud computing first-hand. That’s why many organizations are at least partially migrating to the cloud today. Migrating to the cloud is essential for delivering real-time, updated performance and efficiencies. That’s why you’ll need to carefully analyze, plan and execute the migration process to make sure the cloud solution fits your business needs.

Just like there is no such thing as 100% up time, there is no such thing as being 100% sure. You go with a known and tested vendor (AWS, Azure, Oracle etc), build your system, secure it, test it, monitor it, and hope for the best. Slow performance over time? Scale it up, add load balancers, add virtual CPU/RAM, look for slow queries and optimize the applications using the database. It is not just the database server responsible for the data security and performance, but also anything connected to it.

As much as possible provide check or audit test at the different stages through the migration process. These checks must be detailed enough such in case of any failure or inconsistency, they provide details that can lead to the cause with ease and fast. From the start monitor and report the status of each stage, the smaller the tasks/processes in a stage the better. Stages can be but not limited; - DB Backup tests/audits -Backup transfers -Decryption or decompression of back -Data loading (ETL) and so many. Just make sure you have a detailed way to monitor each process.

Agile is about innovation. While the approach is less effective in mundane processes and operations, most organizations today operate in highly fluid environments. Not only do they need innovation in products and services, but they also need it in functional processes. This is especially true in today’s world, where new software tools are constantly being developed and adopted. Companies that build environments in which agile thrives will find that teams are able to innovate more quickly in both of these areas.??

Big data analytics leverages cutting-edge analytics on massive amounts of unstructured and structured data to generate valuable business insights across a wide range of industries. From health care to education, insurance to artificial intelligence, retail to manufacturing, big data analytics helps organizations understand what works and what doesn’t to optimize processes, systems and profitability.??? Big data is made up of large amounts of data, both structured and non-structured, that can provide valuable insights when analytics are used. Big data analytics can do this quickly and effectively, allowing health care providers to use the data to make better, life-saving decisions.