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Big Data Analytics

By Sricharan Vadapalli
[ Practice Head | Pyramid Solutions ]

Career in Career-in-Big-Data-Analytics
Big Data Analytics
Sricharan Vadapalli
Practice Head | Pyramid Solutions
[ 5 years Experience ]

LifePage Career Talk on Big Data Analytics


Full Talk: https://lifepage.app.link/20190221-0002
Trailer: https://www.youtube.com/watch?v=eku7tVbt7t0

By Sricharan Vadapalli
[Practice Head in Pyramid Solutions]

What is Big Data Analytics?

Sricharan Vadapalli: "Big Data analytics is the often complex process of examining large and varied data sets from multiple sources called big data to uncover valuable business information including hidden patterns, unknown correlations, market trends and customer preferences that can help organisations derive informed business intelligence and decisions."

How I got into Big Data Analytics?

Sricharan Vadapalli: "I joined IT MNC from college and worked for a Product Company for 8 years mostly in USA. I have also worked with MNC's and Startups. I am working as Practice Head of Data Analytics, DevOps and Cloud, currently with Pyramid Solutions. My books are on DevOps, Big Data and successful Relationships. Learning was my passion, I am certified SAP Hana consultant also certified in PMP, ITIL, OCA, INS21, FP, In Memory, I was always passionate about data and its value at the enterprise level hence I found my way into Big data Analytics. I have authored books on DevOps, Bigdata and relationships."

Sricharan Vadapalli's LifePage:


(Big Data Analytics, Sricharan Vadapali, Pyramid Solutions, Practice Head, Data Analytics, Data Interpretation, Data Analysis, Modeling Data)

[This Career Talk covers]

  What Is:
     1) Big Data Analytics  
     2) Data Lifecycle Management  
     3) Data Integration  
     4) Data Modelling  
     5) Reports & Dashboards  
     6) Software & Tools  
     7) Analytical Skills  
     8) Statistical Skills  
     9) Domain Expertise  
     10) Marketing Skills  
     11) Programming Skills  
     12) Always in Demand  
     13) Monetary Potential  
     14) Always Learning  
     15) Better Money Investments  
     16) Knowing Every Aspect  
     17) Data Volume  
     18) Knowledge Up-dation  
     19) Outdated Systems  
  A Day Of:
     20) Product Management  

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