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Big Data Analytics

By Sricharan Vadapalli
[ Practice Head | Pyramid Solutions ]




LifePage Career Talk







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  1. (for Free) Watch Sricharan Vadapalli’s full Career Talk on Big Data Analytics

  2. (for ₹ 100) Do a Self Assessment on Big Data Analytics to calculate your Dream Index, which is defined as:

    According to Sricharan Vadapalli your chances of success in Big Data Analytics is __%

  3. Access your personalized Dream Index Report which will have all your Dream Indices sorted in descending order.

Career Counselling 2.0




Career Counselling 2.0


Career Counselling 2.0






Career Talk Information




What is Big Data Analytics?


Big Data Analytics is a great Career option. Unfortunately, it is very difficult to find information about What Big Data Analytics actually is. Most pages on the internet just talk about How to get into Big Data Analytics. Just like you would normally not trust a non Doctor with names of medicines, you should also not trust opinions about Big Data Analytics from non professionals.

Sricharan Vadapalli invested 5 years in Big Data Analytics. Sricharan Vadapalli outlines Big Data Analytics as:

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 Sricharan Vadapalli got into Big Data Analytics?


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 Talk on Big Data Analytics



Starts with what is:
     1) Big Data Analytics  

Next, it covers Education. It is easy to Google information about what Qualifications are needed to enter Big Data Analytics, this Talk went a step ahead to talk about the body of knowledge one needs to develop to excel at Big Data Analytics. It discusses following headings for Education in Big Data Analytics:
     2) Data Lifecycle Management  
     3) Data Integration  
     4) Data Modelling  
     5) Reports & Dashboards  
     6) Software & Tools  

Then, the Talk focuses on the most important component that is Skills. Sills and success in Big Data Analytics go hand in hand. One needs to get a hold of essential skills. It explains Skills needed in Big Data Analytics with these items:
     7) Analytical Skills  
     8) Statistical Skills  
     9) Domain Expertise  
     10) Marketing Skills  
     11) Programming Skills  

Positives of Big Data Analytics are quite interesting. This Talk defines Positives in terms of following items for Big Data Analytics:
     12) Always in Demand  
     13) Monetary Potential  
     14) Always Learning  
     15) Better Money Investments  

Challenges are the other side of Positives and Big Data Analytics is no exception:
     16) Knowing Every Aspect  
     17) Data Volume  
     18) Knowledge Up-dation  
     19) Outdated Systems  

In the final section of the Talk, Sricharan Vadapalli talks about How a day goes in a Career in:
     20) Product Management  




Career Counselling 2.0


Career Counselling 2.0






Relevant Links







LifePage Career Talk on Big Data Analytics


Career Counselling 2.0
[Career]
https://www.lifepage.in/careers/big-data-analytics


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[Full Talk]
https://lifepage.app.link/20190221-0002


Career Counselling 2.0
[Trailer]
https://www.youtube.com/watch?v=eku7tVbt7t0


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





Career Counseling 2.0

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