Focus on “Why BigData”, we help with “How”

Organisational leaders are single-mindedly focused on deriving ROI from their BigData investments. Their business goals can be achieved when data is delivered reliably, efficiently to systems and people at the right time. Significant efforts in getting the organisation aligned on the value data can be displaced by lack of reliability and efficiency. Questions arise, not on the intent, but on the ways and methods of the implementation, the teams involved, processes and other critical areas.

You surely need big data to get insights about your business, customers, and your probability to succeed. Traditional modes of storage and compute are not enough if you are planning to generate these deep insights about any of the above areas. With the extension of businesses to the edge, as opposed to just the datacenter or the cloud, business decisions will be made on far more granular data points. Which inevitably means that you will need a good strategy for

Ingestion
Storage
Compute
Business Analytics

Along with the above functional areas, customers need a certain degree of
confidence in the continuous measurement of parameters such as:

Availability
Reliability
Velocity
Correctness

The above terms are very well understood in the web application world, developers and SRE teams swear by the SLAs that they provide. A breach is treated seriously, the impact of a broken SLA is felt by business operations.

The same standards can be applied to Hadoop BigData deployments if the users had tools to understand where things are going wrong. If they had the ability to figure out, what can run faster, what can do with fewer resources, who are the bad actors, who are the ones starving in absence of sufficient resources? More and more data getting ingested, more data getting stored in the storage layer and more data getting accessed than ever, it’s critical that the deployment be subject to investigation and performance benchmarks.

The question one may have in mind — “how is that even possible in the Hadoop world?”

The answer is simple — get in touch with us.

Acceldata allows you to answer all of these questions with it’s Hadoop specific Data Operations platform. The first step to remediation is the identification of the problem areas. We will help you to focus on the “why” while we help you with the “how”.

We’ll help you make your Data Operations reliable and operable.