2013 Campamentos de Verano en Pedrezuela - InscripcionesPedrezuela Activa
El Ayuntamiento de Pedrezuela comienza a preparar los campamentos de verano que se desarrollarán durante los meses de junio, julio, agosto y septiembre de 2013.
Para los Campamentos Deportivos los niños deben haber nacidos entre 2005 y 1998, y para los Campamentos Urbanos entre 2004 y 2009. El Campamento Deportivo se realizará exclusivamente durante el mes de julio. El Campamento Urbano, para todas las edades, se realizará durante todo el verano. Un mínimo de 10 niños para que la actividad se realice.
Además, se realizará campamento en Montenebro siempre que haya un grupo de 10 niños en horario de 9.30h a 14.00h.
Sudhir hadoop and Data warehousing resume Sudhir Saxena
Overall 5.8 Years of Professional IT experience in Data Warehousing and Business Intelligence.
Having one year onsite experience in Mexico and USA with USAA Client, USA.
Having good Knowledge in Bigdata, Hadoop, Pig, Hive, Sqoop, Hbase, Python, Spark, Scala.
When working with big data or complex algorithms, we often look to parallelize our code to optimize runtime. By taking advantage of a GPUs 1000+ cores, a data scientist can quickly scale out solutions inexpensively and sometime more quickly than using traditional CPU cluster computing. In this webinar, we will present ways to incorporate GPU computing to complete computationally intensive tasks in both Python and R.
See the full presentation here: 👉 https://vimeo.com/153290051
Learn more about the Domino data science platform: https://www.dominodatalab.com
Empowering developers to deploy their own data storesTomas Doran
Empowering developers to deploy their own data stores using Terrafom, Puppet and rage. A talk about automating server building and configuration for Elasticsearch clusters, using Hashicorp and puppet labs tool. Presented at Config Management Camp 2016 in Ghent
2013 Campamentos de Verano en Pedrezuela - InscripcionesPedrezuela Activa
El Ayuntamiento de Pedrezuela comienza a preparar los campamentos de verano que se desarrollarán durante los meses de junio, julio, agosto y septiembre de 2013.
Para los Campamentos Deportivos los niños deben haber nacidos entre 2005 y 1998, y para los Campamentos Urbanos entre 2004 y 2009. El Campamento Deportivo se realizará exclusivamente durante el mes de julio. El Campamento Urbano, para todas las edades, se realizará durante todo el verano. Un mínimo de 10 niños para que la actividad se realice.
Además, se realizará campamento en Montenebro siempre que haya un grupo de 10 niños en horario de 9.30h a 14.00h.
Sudhir hadoop and Data warehousing resume Sudhir Saxena
Overall 5.8 Years of Professional IT experience in Data Warehousing and Business Intelligence.
Having one year onsite experience in Mexico and USA with USAA Client, USA.
Having good Knowledge in Bigdata, Hadoop, Pig, Hive, Sqoop, Hbase, Python, Spark, Scala.
When working with big data or complex algorithms, we often look to parallelize our code to optimize runtime. By taking advantage of a GPUs 1000+ cores, a data scientist can quickly scale out solutions inexpensively and sometime more quickly than using traditional CPU cluster computing. In this webinar, we will present ways to incorporate GPU computing to complete computationally intensive tasks in both Python and R.
See the full presentation here: 👉 https://vimeo.com/153290051
Learn more about the Domino data science platform: https://www.dominodatalab.com
Empowering developers to deploy their own data storesTomas Doran
Empowering developers to deploy their own data stores using Terrafom, Puppet and rage. A talk about automating server building and configuration for Elasticsearch clusters, using Hashicorp and puppet labs tool. Presented at Config Management Camp 2016 in Ghent
DAMA Webinar - Big and Little Data QualityDATAVERSITY
While technological innovation brings constant change to the data landscape, many organizations still struggle with the basics: ensuring they have reliable, high quality data. In health care, the promise of insight to be gained through analytics is dependent on ensuring the interactions between providers and patients are recorded accurately and completely. While traditional health care data is dependent on person-to-person contact, new technologies are emerging that change how health care is delivered and how health care data is captured, stored, accessed and used. Using health care as a lens through which to understand the emergence of big data, this presentation will ask the audience to think about data in old and new ways in order to gain insight about how to improve the quality of data, regardless of size.
Bridging the Gap Between Data Science & Engineer: Building High-Performance T...ryanorban
Data scientists, data engineers, and data businesspeople are critical to leveraging data in any organization. A common complaint from data science managers is that data scientists invest time prototyping algorithms, and throw them over a proverbial fence to engineers to implement, only to find the algorithms must be rebuilt from scratch to scale. This is a symptom of a broader ailment -- that data teams are often designed as functional silos without proper communication and planning.
This talk outlines a framework to build and organize a data team that produces better results, minimizes wasted effort among team members, and ships great data products.
The Net Promoter Score process involves a number of parameters which when worked together can provide the best outcome and can be very tricky to execute. This infographic highlights some pitfalls to avoid when running your next NPS campaign to churn out the best results out of it.
Some examples and motivation for creating data structures from nothing but functions - Church Encoding! There's particular detail on how it can make free monads more efficient.
Booz Allen Hamilton created the Field Guide to Data Science to help organizations and missions understand how to make use of data as a resource. The Second Edition of the Field Guide, updated with new features and content, delivers our latest insights in a fast-changing field. http://bit.ly/1O78U42
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html
DAMA Webinar - Big and Little Data QualityDATAVERSITY
While technological innovation brings constant change to the data landscape, many organizations still struggle with the basics: ensuring they have reliable, high quality data. In health care, the promise of insight to be gained through analytics is dependent on ensuring the interactions between providers and patients are recorded accurately and completely. While traditional health care data is dependent on person-to-person contact, new technologies are emerging that change how health care is delivered and how health care data is captured, stored, accessed and used. Using health care as a lens through which to understand the emergence of big data, this presentation will ask the audience to think about data in old and new ways in order to gain insight about how to improve the quality of data, regardless of size.
Bridging the Gap Between Data Science & Engineer: Building High-Performance T...ryanorban
Data scientists, data engineers, and data businesspeople are critical to leveraging data in any organization. A common complaint from data science managers is that data scientists invest time prototyping algorithms, and throw them over a proverbial fence to engineers to implement, only to find the algorithms must be rebuilt from scratch to scale. This is a symptom of a broader ailment -- that data teams are often designed as functional silos without proper communication and planning.
This talk outlines a framework to build and organize a data team that produces better results, minimizes wasted effort among team members, and ships great data products.
The Net Promoter Score process involves a number of parameters which when worked together can provide the best outcome and can be very tricky to execute. This infographic highlights some pitfalls to avoid when running your next NPS campaign to churn out the best results out of it.
Some examples and motivation for creating data structures from nothing but functions - Church Encoding! There's particular detail on how it can make free monads more efficient.
Booz Allen Hamilton created the Field Guide to Data Science to help organizations and missions understand how to make use of data as a resource. The Second Edition of the Field Guide, updated with new features and content, delivers our latest insights in a fast-changing field. http://bit.ly/1O78U42
A look at the evolution of analytics and its revolutionary potential to transform ordinary businesses, power new business models, enable innovation, and deliver greater value. http://www2.deloitte.com/us/en/pages/deloitte-analytics/articles/analytics-trends.html