Consider these before choosing a Big Data Solution

Gone are the days when organizations dealt with finite amounts of data. The modern business world is all about extremely large and complex datasets primarily because the array of devices that are used to access and collect information has broadened exponentially. Such large datasets are today collectively called Big Data and big data is typically analyzed to reveal patterns, trends, and associations relating to human behavior and interactions. Naturally, when the datasets are of such a huge size and consist of complex variable data, traditional data processing software fall short while trying to deal with them. That’s where Big Data solutions step in.

If you’re about to hire a Big Data Analytics Company to implement Big Data Analytics Solutions for your organization, here are some important considerations you should keep in mind:

1. Do you need an online solution or offline?

Online data is dynamic in nature and is processed in real-time through data stores whereas Offline data is retrospective and is processed in batches by applications like Hadoop. Before putting an implementation in place, you should analyze the kind of big data your business needs and choose the appropriate solution. Alternatively, you could also put a complete Big Data solution in place if you need a combination of both kinds of data.

2. Can the solution handle high data velocity & variety?

If your big data sets are getting updated from a variety of devices such as sensors, media streams, mobiles, financial streams, web clicks, etc. your proposed big data solution should be agile enough to handle such a high rate of input and large number of events. Additionally, random data streams sometimes supply unstructured or semi structured data and varying file formats; the solution should be able to support all of that.

3. What is the average volume of data the solution can handle?

It won’t be entirely wrong to say that big datasets do not have an upper size limit. As per corporate reports, an average firm with close to 1000 employees stores petabytes of data and their datasets grow steadily every year. Will the big data analytics company you’re planning to hire be able to implement a solution that’s capable of handling such massive data?

4. What are your business’ availability and consistency requirements?

Does your business need a distributed system owing to dispersed geographies? If so, you’ll need to put some kind of trade-off between consistency and availability in place since you can’t have both when a break in the network causes the system to be partitioned. Moreover, do you need an on-premise, cloud, or hybrid solution?

Any big data technology that delivers scalable performance and operational ease while being cost effective is considered to hit the big data "bull’s eye". Although implementing a solution that encompasses all these factors can be challenging, it can be done with the help of the right big data analysis company.

If you’re looking for a reliable Big Data solutions provider, get in touch with Paragyte. They are an established name when it comes to Big Data implementations, architecture strategy and design, analytics and intelligence, and Big Data Consulting.

Visit https://www.paragyte.com/services/digital-transformation/big-data for more details.

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