�ݺ�ߣshows by User: AshwiniKuntamukkala

�ݺ�ߣshows by User: AshwiniKuntamukkala / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: AshwiniKuntamukkala / Tue, 16 May 2017 05:08:19 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: AshwiniKuntamukkala Pros & Cons of Microservices Architecture /slideshow/pros-cons-of-microservices-architecture/76008157 prosconsmicroservices-slidedeck-170516050819
Are you jumping on the microservices bandwagon? When and when not to adopt micro services architecture? If you must, what are the considerations? This slidedeck will help answer a few of those questions...]]>
Are you jumping on the microservices bandwagon? When and when not to adopt micro services architecture? If you must, what are the considerations? This slidedeck will help answer a few of those questions...]]> Tue, 16 May 2017 05:08:19 GMT /slideshow/pros-cons-of-microservices-architecture/76008157 AshwiniKuntamukkala@slideshare.net(AshwiniKuntamukkala) Pros & Cons of Microservices Architecture AshwiniKuntamukkala Are you jumping on the microservices bandwagon? When and when not to adopt micro services architecture? If you must, what are the considerations? This slidedeck will help answer a few of those questions... <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/prosconsmicroservices-slidedeck-170516050819-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Are you jumping on the microservices bandwagon? When and when not to adopt micro services architecture? If you must, what are the considerations? This slidedeck will help answer a few of those questions...

Pros & Cons of Microservices Architecture from Ashwini Kuntamukkala

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0 Transform Legacy Enterprise into Data-Driven Digital Business /slideshow/transform-legacy-enterprise-into-datadriven-digital-business/62017780 transformlegacyenterprisetoddb-160514183040
Businesses have realized that data are key differentiators and those that understand how to ingest, store, transform and analyze data can make better predictive and prescriptive decisions which in turn affect your business outcomes. Hence It is essential to predict, prevent and prepare than to restrict, repent and repair! I will go over levels of maturity in this journey and share some practices that will help you carve out a successful data strategy for your enterprise. More in-depth content will be shared on May 14th 2016 at Big Data Bootcamp Dallas( http://globalbigdataconference.com/64/dallas/big-data-bootcamp/schedule.html ) when we will have more time to delve on this topic. ]]>
Businesses have realized that data are key differentiators and those that understand how to ingest, store, transform and analyze data can make better predictive and prescriptive decisions which in turn affect your business outcomes. Hence It is essential to predict, prevent and prepare than to restrict, repent and repair! I will go over levels of maturity in this journey and share some practices that will help you carve out a successful data strategy for your enterprise. More in-depth content will be shared on May 14th 2016 at Big Data Bootcamp Dallas( http://globalbigdataconference.com/64/dallas/big-data-bootcamp/schedule.html ) when we will have more time to delve on this topic. ]]> Sat, 14 May 2016 18:30:39 GMT /slideshow/transform-legacy-enterprise-into-datadriven-digital-business/62017780 AshwiniKuntamukkala@slideshare.net(AshwiniKuntamukkala) Transform Legacy Enterprise into Data-Driven Digital Business AshwiniKuntamukkala Businesses have realized that data are key differentiators and those that understand how to ingest, store, transform and analyze data can make better predictive and prescriptive decisions which in turn affect your business outcomes. Hence It is essential to predict, prevent and prepare than to restrict, repent and repair! I will go over levels of maturity in this journey and share some practices that will help you carve out a successful data strategy for your enterprise. More in-depth content will be shared on May 14th 2016 at Big Data Bootcamp Dallas( http://globalbigdataconference.com/64/dallas/big-data-bootcamp/schedule.html ) when we will have more time to delve on this topic. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/transformlegacyenterprisetoddb-160514183040-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Businesses have realized that data are key differentiators and those that understand how to ingest, store, transform and analyze data can make better predictive and prescriptive decisions which in turn affect your business outcomes. Hence It is essential to predict, prevent and prepare than to restrict, repent and repair! I will go over levels of maturity in this journey and share some practices that will help you carve out a successful data strategy for your enterprise. More in-depth content will be shared on May 14th 2016 at Big Data Bootcamp Dallas( http://globalbigdataconference.com/64/dallas/big-data-bootcamp/schedule.html ) when we will have more time to delve on this topic.

Transform Legacy Enterprise into Data-Driven Digital Business from Ashwini Kuntamukkala

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0 Data Wrangling /AshwiniKuntamukkala/data-wrangling-62017599 data-wrangling-160514182002
Companies are finding that data can be a powerful differentiator and are investing heavily in infrastructure, tools and personnel to ingest and curate raw data to be "analyzable". This process of data curation is called "Data Wrangling" This task can be very cumbersome and requires trained personnel. However with the advances in open source and commercial tooling, this process has gotten a lot easier and the technical expertise required to do this effectively has dropped several notches. In this tutorial, we will get a feel for what data wranglers do and use R, RStudio, Trifacta Wrangler, Open Refine tools with some hands-on exercises available at http://akuntamukkala.blogspot.com/2016/05/data-wrangling-examples.html]]>
Companies are finding that data can be a powerful differentiator and are investing heavily in infrastructure, tools and personnel to ingest and curate raw data to be "analyzable". This process of data curation is called "Data Wrangling" This task can be very cumbersome and requires trained personnel. However with the advances in open source and commercial tooling, this process has gotten a lot easier and the technical expertise required to do this effectively has dropped several notches. In this tutorial, we will get a feel for what data wranglers do and use R, RStudio, Trifacta Wrangler, Open Refine tools with some hands-on exercises available at http://akuntamukkala.blogspot.com/2016/05/data-wrangling-examples.html]]> Sat, 14 May 2016 18:20:02 GMT /AshwiniKuntamukkala/data-wrangling-62017599 AshwiniKuntamukkala@slideshare.net(AshwiniKuntamukkala) Data Wrangling AshwiniKuntamukkala Companies are finding that data can be a powerful differentiator and are investing heavily in infrastructure, tools and personnel to ingest and curate raw data to be "analyzable". This process of data curation is called "Data Wrangling" This task can be very cumbersome and requires trained personnel. However with the advances in open source and commercial tooling, this process has gotten a lot easier and the technical expertise required to do this effectively has dropped several notches. In this tutorial, we will get a feel for what data wranglers do and use R, RStudio, Trifacta Wrangler, Open Refine tools with some hands-on exercises available at http://akuntamukkala.blogspot.com/2016/05/data-wrangling-examples.html <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/data-wrangling-160514182002-thumbnail.jpg?width=120&height=120&fit=bounds" /><br> Companies are finding that data can be a powerful differentiator and are investing heavily in infrastructure, tools and personnel to ingest and curate raw data to be "analyzable". This process of data curation is called "Data Wrangling" This task can be very cumbersome and requires trained personnel. However with the advances in open source and commercial tooling, this process has gotten a lot easier and the technical expertise required to do this effectively has dropped several notches. In this tutorial, we will get a feel for what data wranglers do and use R, RStudio, Trifacta Wrangler, Open Refine tools with some hands-on exercises available at http://akuntamukkala.blogspot.com/2016/05/data-wrangling-examples.html

Data Wrangling from Ashwini Kuntamukkala

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0 https://cdn.slidesharecdn.com/profile-photo-AshwiniKuntamukkala-48x48.jpg?cb=1524859702 I am a Software Architect focusing on Big Data and NoSQL initiatives. I have over 10 years of experience in leading and implementing enterprise grade solutions in pharmacy, health care and travel industries. I am enthusiastic about open source, cloud, and mobile development. At SciSpike, a development and consulting firm, I make clients successful in adopting best enterprise software development and governance practices through consulting, training and software development services. My interview was recently featured in DZone - Dev of the week : http://java.dzone.com/articles/dev-week-ashwini-kuntamukkala akuntamukkala.blogspot.com https://cdn.slidesharecdn.com/ss_thumbnails/prosconsmicroservices-slidedeck-170516050819-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/pros-cons-of-microservices-architecture/76008157 Pros & Cons of Microse... https://cdn.slidesharecdn.com/ss_thumbnails/transformlegacyenterprisetoddb-160514183040-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/transform-legacy-enterprise-into-datadriven-digital-business/62017780 Transform Legacy Enter... https://cdn.slidesharecdn.com/ss_thumbnails/data-wrangling-160514182002-thumbnail.jpg?width=320&height=320&fit=bounds AshwiniKuntamukkala/data-wrangling-62017599 Data Wrangling