Many of today’s companies recognize the need to bring their existing data infrastructure to the next level. They want to compete in the IoT world. They know that other companies already use predictive analytics solutions to anticipate what consumers will do. However, not all companies are sure how to create the right data infrastructure for their people to use for decision-making. In fact, the ability to analyze business intelligence data is expected to keep improving. It’s really a matter of your company choosing the right data solutions.
We find that many companies in Los Angeles want to move towards better data integration. Without upgrading your company’s tech stack capacity, it’s hard to use real-time data, such as website clicks and user-inputted information, for business decisions. You want to package data for specific uses in your own internal databases. With data processing throughout your company every business day, instead of at the end of the day, your servers can easily distribute refined information to anyone in the company, which they then use for strategic decision-making. To leaders without an IT background, the process of data integration is mysterious, but very necessary for the company’s future success.
The need for increased data integration is usually the purview of a company’s CIO, or chief information officer. A company with a CIO has the expert leadership needed to plan and implement the transition to full data integration, which is crucial to a consumer-driven business model. A company without CIO leadership can temporarily hire a virtual CIO to advise on improvements to the IT infrastructure. Based on present business conditions and predicted trends, either type of CIO can offer a strategic perspective and determine how the budget will allow for immediate improvements. Along the way, a company with data integration needs will benefit from reliable Los Angeles it support, and we have a full staff of IT professionals whom you can trust.
We work on a project basis, provide managed IT services, and handle simple desktop and server support, just to name a few. It all depends on your company’s needs. We want to help your organization understand what we offer. In this blog post, we look at how data integration is something your company can’t afford to ignore. We want you to understand the answer to this question: How do you move a gazillion bits of data through a queue in real time?
One approach is data streaming through a solution such as Apache Kafka, a tool developed by LinkedIn. This is just one example of how companies build data infrastructure for their streaming processes, and it’s based in part on open-source software. Kafka is a publish-subscribe messaging system that involves the distribution of data over multiple servers. One Kafka broker will easily accommodate hundreds of megabytes of reads and writes per second from thousands of clients. Each client is a server on the company’s computer network.
When we build server systems for clients such as those incorporating Apache Kafka, we help the client organization use a single set of servers as a central data hub. Believe it or not, just one cluster of Apache servers can do the entire job. This kind of system can expand in capacity without taking down any of the existing servers, and it handles data streams through partitioning. This is a process that essentially spreads data loads over a cluster of servers. Each data stream is larger than what one server can process.
We can help you choose the right combination of servers to process real-time data and use it for predictive analytics. For details on achieving better data integration, please contact us today.