Why BIG DATA Should Matter To Your Company!

Big Data May Be More Important Thank You Think

Each year companies are continually integrating online services into their business. It only makes sense that companies would join in on the Internet of Things (IoT). The IoT business will deliver $6.2 trillion of revenue by 2025, as stated by McKinsey Global Institute. Whether or not companies are ready for such a change is debatable. In the technology realm, security is something that every company seeks. Your company cannot continually operate without a secure connection.

Maybe you reassure yourself that your business is just fine without a cloud provider, think again. If your company needs to keep pace with continual growth and change – then the cloud, IoT, and Big Data are the solutions to your problems. They offer more “bandwidth, disk storage, and compute power to keep up with the demand for data, congestion, storage, and real-time analytics that will serve business needs.”

Big Data follows three important steps in processing IoT data: data ingestions (harvesting data), data storage, and analytics – with analytics being most valuable when it concerns big data. The latter two are seen more as a “cost of doing business and [are] becoming a commodity.” Many companies undertake big data projects; and most are unsuccessful because they don’t know how to get past the data ingestion phase. Navigating through the big data process can be difficult for someone who isn’t an expert in that area.

Image: Google

How Your Company Can Avoid the Common DIY Pitfalls, In Relation To Big Data

If you are unsure what steps you should take to avoid the common mistakes of growing businesses, there are some simple things you can do. For instance, you could try one of the following steps to insure a smoother integration process of Big Data:

• Leverage a database as a service (DBaaS) offerings in the marketplace. For example, Amazon’s Redshift, Hortonworks Enterprise Hadoop, and Cloudera Enterprise – these services give you automation and database management services, that ultimately lessen the burden on customers to have to understand the underlying technologies.
• Leverage big data services. Treasure Data is a Managed service provider (MSPs) that owns the responsibility of data ingestion and database management. It also provides capabilities for performing analytics and extracting datasets. This allows your customers to get to the marketplace quickly, without investing a large amount upfront.
• Utilize GoGrid. This company helps solve the complex matrix of NoSQL to datacenter combinations. “GoGrid works with many of the database providers to provide “1-Button-Deploy” technology for Hadoop, Cassandra, Mongo, Cloudera, Hortonworks, Riak, and others. These database technologies can be deployed on any GoGrid datacenter” or through one of their many partners.

Due to the high volume of data from IoT, it is expected that there will be a rapid amount of change in today’s datacenters and will require new Big Data strategies within enterprises. Because there is a shortage in skilled workers who know how to operate Big Data, companies will start relying more on PaaS and managed solutions. When companies have the ability to analyze their data, they are able to experience the true business value of that data. There are plenty of vendors who are there to help pave the way for your business through the unknown territory of Big Data. If vendors are taking care of data ingestion and data management – that leaves time for customers to focus on analytics.

If your company is interested in finding out more about these services, team up with one of our geniuses today!

Still not sure you understand what Big Data even means? Check out this short video to gain a better understanding of why it is important for you and your business.

Video Source: Intel

(Article Source)