Embedded Systems Course, Hadoop Training institutes in Bangalore

Embedded Systems Course, Hadoop Training institutes in Bangalore

 

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Data management and analysis

The battleground for data-enriched CRM will only continue to heat up in 2017. Data is a great way to extend the value proposition of CRM to businesses of all sizes, especially those in the small-to mid-size range. By providing pre-populated data sets, the amount of “busy work” done by sales and other CRM users is reduced, and the better the data, the more effective individuals can be every moment of the day. A lot of M&A as well as in-house development and partnerships will fuel more data-powered CRM announcements in 2017. The key, of course, is seeing which providers provide the most seamless and most sensible use cases out of the box for their customers. The various bigdata and hadoop training institutes in Bangalore can assist in building the workforce which is needed.

In 2017 (and 2018), streaming analytics will become a default enterprise capability, and we’re going to see widespread enterprise adoption and implementation of this technology as the next big step to help companies gain a competitive advantage from their data. The rate of adoption will be a hockey stick model and ultimately take half the time it has taken Hadoop to rise as the default big data platform over the past six years. Streaming analytics will enable the real-time enterprise, serving as a transformational workload over their data platforms that will effectively move enterprises from analyzing data in batch-mode once or twice a day to the order of seconds to gain real-time insights and taking opportunistic actions. Overall, enterprises leveraging the power of real-time streaming analytics will become more sensitive, agile and gain a better understanding of their customers’ needs and habits to provide an overall better experience. In terms of the technology stack to achieve this, there will be an acceleration in the rise and spread of the usage of open source streaming engines, such as Spark Streaming and Flink, in tight integration with the enterprise Hadoop data lake, and that will increase the demand for tools and easier approaches to leverage open source in the enterprise. Numerous hadoop training institutes in Bangalore are equipping themselves to nurture and guide the manpower required to take the technology to the next level.

The unique value creation for businesses comes not just from processing and understanding transactions as they happen and then applying models, but by actually doing it before the consumer, or the sensor, logs in to do something. I predict we will quickly move from post-event and even real-time to preemptive analytics that can drive transactions instead of just modifying or optimizing them. This will have a transformative impact on the ability of a data-centric business to identify new revenue streams, save costs and improve their customer intimacy.

IT will start automating the choices for data management and analysis, leading to standardized data prep, quality, and governance. BI tools have been making more decisions for people and automating more processes. The knowledge for doing this — e.g., choosing one chart type over another — was embedded into the tools themselves. Data prep and management tends to be different, because the required rules are specific to the business requirements rather than being inherent in the data. Rule-based data management will enable IT to define rules that the business uses in its analytics processes, making business analysts more productive while still ensuring reliability and reproducibility. For a use case, consider a data scientist who sources data externally, and lets the data tools automatically choose which enterprise data prep and cleansing processes need to be applied. 

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