Global data has been rapidly growing for more than a decade, snowballing into massive quantities of data available to businesses today. Data is aggregated everywhere on the Internet – through web searches, social media, work files and text messages – as well as via IoT devices and sensors. This has led to impressive market growth, and according to Statista, the global big data market is forecasted to increase to $103B by 2027, more than double its market size in 2018.
There is no end in sight for the accumulation and growth of big data. So, the question remains, are you prepared to face the future of big data? Let’s look at several key steps you can take to prepare yourself for big data management in the years to come.
Database server farms provide fast and simple data management
Let’s face it, big data doesn’t all easily fit together in one computer. Setting up a cluster of small computers to handle workloads is complicated to configure and difficult to keep running. It can also introduce problems, such as sharing skew and workload management difficulties, creating a highly fragile and difficult ecosystem. Further, a large, singular dataset and a centralized data warehouse of everything is simply not productive or necessary.
Instead, consider working with a flexible database server farm for an environment that’s easy to set up, manage and change. A homogenous database server farm offers independent servers without cluster complexity, a single database setup and the ability to add or delete servers without affecting others. Vector Analytics Database’s high performance and easy administration without cluster complexities make it a great option for a database server farm. Vector requires little to no tuning, so virtually no individual setup is needed, and it allows users to introduce variations that are typically found in a heterogenous database server farm.
Integration makes data usable and agile
Data supports decision making, and data quality impacts an organizations’ ability to provide their products and services. Company data must be usable and agile, as well as protected and governed, but managing data becomes more complicated each year as quantities of data grow. Because of this, organizations must harness the power of data integration by collaboratively using people, suppliers, and technologies to make better use of disparate data sources and inform decision making.
The key steps to follow in the big data preparation process include extracting data from various sources, properly loading data, and transforming data for analysis. Ensure that during this process, you are following data governance standards and keeping security processes in mind. Using big data integration will allow your company to run with high-performing teams sharing information, data, and knowledge to support business decisions and customer service.
A modern cloud data platform offers high-quality, real-time data insights
Businesses are facing another challenge when it comes to managing seemingly infinite amounts of data – their data warehouses are not designed for analyzing big data in real-time. Most data warehouses are designed for what companies needed several years ago, with on-premises infrastructure and fixed capacity and processing optimized for relational database schemas. Today, organizations need scalable cloud infrastructures and on-demand resource scaling. Traditional data warehouses cannot accomplish this with the speed that modern businesses require.
A modern cloud data platform designed for high-efficiency processing can leverage high-performance vectorized data processing and manages big, unruly data. Actian Data Platform helps organizations manage and analyze huge quantities of data quickly and efficiently, giving users real-time insights to make business decisions in the moment. The Actian platform’s unique capabilities outperform traditional data warehouse solutions, delivering significantly higher performance at a much lower cost.
Better manage big data in the new year
Looking for modern, scalable solutions to help you tackle your big data challenges in the new year? Visit Actian’s product overview page to find solutions to your data management and analytics needs.