Big Data-as-a-Service (BDaaS) industry is emerging as the recent innovation from big data and analytics technology. A big data service provider can play a big role in the industry as today’s business requires data mining and analysis.

The BDaaS refers to a class of platforms and managed toolsets that answer necessities for the growing adoption of big data analytics. Diverse mid-tier enterprise requires big data analytics to help them making scientific business decisions.

In case you have been looking for a big data service provider for this sector, the following questions can be your guideline.

Questions for Guiding the Selection

You can ask for the big data service provider on whether or not it offers low or zero start-up costs. From this, you can foresee the results before you actually use the service. Also, you can search for information on a potentially scalable solution in that service.

The next question is whether or not the BDaaS is already in place in your industry. Equip the question with consultancy and project planning support in your business sector. This plays an important role because the two services assist in in-depth consultancy.

In the BDaaS industry, the big data service provider needs to provide analysis on datasets that are very large, messy, and unstructured. Later, you can ask for real-time analysis and feedback from the provider. With the services, you can get valuable insights that will determine your business strategies.

Dive into whether or not that provider offers a managed or self-service one. You will find an array of systems that are equipped with consultancy services. Of course, you will have to pay an extra cost if you choose the consultancy service.

Also read: Reaping Maximum Benefits of Big Data by Applying Cloud Computing

Some of the providers that are well-known today are Google Cloud Dataproc, Amazon Web Services, Microsoft Azure HDInsight, Salesforce Wave Analytics, Qubole Data Service, and IBM BigInsights on Cloud.

IBM BigInsights on Cloud, for example, has data management systems with high penetration. It brings into the cloud system advanced analytics tools to reduce the entry barrier to Big Data analytics. In addition, it works with social media platforms, such as Twitter, to get insights and produce the natural human language.

Our partner, Microsoft Azure, is a good option for the BDaaS business. The Azure contains Spark and Storm, two open-source technology platforms for increasing functionality and compatibility.

Should you need services related to the BDaaS segment, kindly contact us through this website for further discussion.