Flipbook: Why to Rethink Database Outsourcing (13 NEW REASONS)

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Why should you take a few minutes to rethink your database outsourcing strategy? Data trends, rapidly changing technology, niche skill sets, and growing consumption of information by the business--to name a few reasons.

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Flipbook: Why to Rethink Database Outsourcing (13 NEW REASONS)

  1. 1. 5 15 REASONS TO RETHINK YOUR DATABASE MANAGEMENT STRATEGY IN 2015 Relational data from transactional systems is only part of the enterprise equation, and shares the stage with data that can now be cost- effectively captured, managed, analyzed, and stored. Availability of data is a key indicator of an IT performance. Big Data Becomes Daily Business Mobile computing is on the rise, by 2017 the average person will own 5 connected devices. Connected devices and applications drive demand for huge amounts of data and processing. Mobile Becomes an Equal 1 2 3 11 9 1210 14 8 1513 7 4 Complex data requests can strain your system for hours, slowing infrastructure. Over-worked staff are a risk for errors, causing costly downtime and hours of troubleshooting. Strategically right-sourced DB functions can increase efficiency & simplify budget planning—saving time to manage core IT functions. Hidden Costs of DIY DB Support Automation Manages the Squeeze Database professionals report that they spend more time managing database lifecycles than anything else. An overwhelming majority still perform a range of tasks manually, from patching databases to nightly backups. More than 50% of IT Departments take 30 days or more to respond to new initiatives or deploy new solutions. For 25% of organizations, it takes 90 days or more. To maintain a competitive edge, companies need to focus on the following key requirements for new technologies to take advantage of data and find unique business value and new revenue opportunities: 6Cloud Opens Up DBaaS Systems must be flexible, allowing the introduction of new sensors/devices and the data they emit. The need for IoT developers is expected to reach 4.5 million by 2020. Which is feeding the rise of the NoSQL database. IoT data by the Yottabyte Compared to relational databases, NoSQL databases are more scalable and provide superior performance. Their data model addresses issues the relational model does not: Large volumes of structured, semi-structured, and unstructured data. The RISE of NoSQL Resurgence of SQL Storage is shaping enterprise infrastructure capabilities. Many organizations are dealing with rapidly expanding data stores, with much of today’s data growth is coming out of enterprise applications. Storage Enters the Limelight Working with an external database management team and/or dedicated on-demand DBA can help free up your IT thinkers to plan for upgrades, migrations, restructuring, and other strategic projects. Freeing Up Your IT Thinkers Application performance problems often lead back to database issues, which can be difficult to find amongst log files, code, and architecture. Time is money when an app is tied to revenue. Senior DBAs have seen it all and can help save time andmoney in regards to opportunity costs. Nasty, Hidden Bottlenecks Large databases need more tuning, backup, recovery, and upgrade support. The average database-to-DBA ratio tends to be around 5 TB per DBA. Elasticity in DBA staffing will be crucial in the years ahead. More Data, More Database Staffing Ebbs & Flows Migrating data significantly introduces the risk of errors. Relying on a database expert can help prevent lost productivity and revenue down the road by helping to ensure data integrity. Change Management With lots of change on the horizon, a project to sort out your database inefficiencies, security, and performance is a great opportunity to evaluate your provider before embarking on more complex projects with them. Spring Cleaning Sources: “The Empowered Database: 2014 Enterprise Platform Decisions Survey,” September 2014. Big Data Sourcebook – Second Edition www.dbta.com The year 2015 represents new opportunities to expand and enlighten data management practices and platforms to meet the needs of the ever-expanding digital enterprise. To be successful, digital business efforts need to have solid data management practices underneath. 11 © 2015 ManageForce Corporation. All Rights Reserved. INFO@MANAGEFORCE.COM 877-351-4491MANAGEFORCE.COM CONTACT US today and ask how 2015 can be your year of data management success. As data management changes dramatically IT departments will experience a staffing flux or a gap in needed skill sets. Senior-level external lifecycle management will supplement your staff and help ensure your database support doesn’t miss a beat. With growth markets like the IoT and mobile computing continuing unabated, enterprise data architectures require structured and semi-structured data to scale together. The challenge lies in uniting different data models so that all data can be analyzed together. Increasingly, data managers & professionals will be working with cloud-based solutions and data, whether associated with a public cloud service, or an in-house DBaaS solution. Business demand for database services, as well as associated data volumes, is growing at a rate of 20% a year on average. Elasticity in DBA staffing will be crucial now, and in the years ahead.

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