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Organizations today are increasingly deploying Big Data Analytics (BDA) to improve operational efficiency, drive new revenue streams and gain competitive advantages over business rivals.

BDA is also helping by offering out-of-the-box, end-to-end solutions for managing your data across a wide spectrum of use cases and lowering the barrier to entry with user-friendly solutions.

The Global Big Data Analytics Market was valued at US$ 37.34 billion in 2018 and expected to reach US$ 105.08 billion by 2027 at a CAGR of 12.3% throughout the forecast period from 2019 to 2027, according to Research & Markets.

However, enterprises are facing a plethora of challenges in managing and fine-tuning big data analytical workloads. Technologies to manage and explore big data are rapidly changing. The need is to better and faster solutions to gain insights from the data. But integrating the legacy with the latest technologies is turning out to be a challenge.

In addition, with multiple stakeholders, we need to ensure that data analytics solutions work together efficiently and effectively.

Join The Economic Times Live Webinar, powered by Cloudera, to explore how WXM can be leveraged to gain in-depth understanding of the workloads running in Impala, Hive, Spark, information that can be used for troubleshooting failed jobs and optimizing slow jobs that run on the big data clusters. Learn how customers can use the knowledge gained from WXM to identify and address abnormal or degraded performance or potential performance improvements.

Key Takeaways:

SPEAKER
   
 
Bharath Shasthri

Vertical Head ML,DL & Big Data
HDFC Bank

Bharath is an Analytics, Data Science & data engineering Professional with over 15 years of experience in various industry domains like Risk, Collection, Marketing, Fraud, Cross-sell, Call Centre, Customer Retail & Corporate banking, Insurance and Telecom Analytics. He has working knowledge on various analytical tools like ASAS ,R, Weka, Rapid miner, SQL, No SQL, Data warehouse, In-database Analytics, Hadoop , Spark, Database on GPU,Python,H20,Tensor Flow, Theano, CNTK, Keras.


Prashant Wate

Solution Engineer
Cloudera

  
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