This is the keynote presentation from Hadoop founder Dough Cutting and Cloudera Sr. Director of Product Management Charles Zedlewski. It announces Cloudera's Distribution for Hadoop v3 and Cloudera Enterprise.
for more info go to www.cloudera.com
Intel and Cloudera: Accelerating Enterprise Big Data SuccessCloudera, Inc.
The data center has gone through several inflection points in the past decades: adoption of Linux, migration from physical infrastructure to virtualization and Cloud, and now large-scale data analytics with Big Data and Hadoop.
Please join us to learn about how Cloudera and Intel are jointly innovating through open source software to enable Hadoop to run best on IA (Intel Architecture) and to foster the evolution of a vibrant Big Data ecosystem.
This document provides an overview of Cloudera's SQL on Hadoop technologies including Hive, Spark SQL, and Impala. It discusses the features and capabilities of each technology, how they differ, and when each would be best suited for different use cases. Key points covered include Hive being optimized for batch processing while Impala and Spark SQL enable lower latency queries. The document also reviews columnar data formats like Parquet that can improve performance.
Cloudera Navigator provides integrated data governance and security for Hadoop. It includes features for metadata management, auditing, data lineage, encryption, and policy-based data governance. KeyTrustee is Cloudera's key management server that integrates with hardware security modules to securely manage encryption keys. Together, Navigator and KeyTrustee allow users to classify data, audit usage, and encrypt data at rest and in transit to meet security and compliance needs.
The document discusses data access security in Hadoop, including Apache Sentry and RecordService. It provides an overview of Sentry, describing how it works with different Hadoop components like Hive and Impala to provide role-based access control. It also discusses the need for fine-grained access control and how RecordService aims to address this need.
The document discusses running Hadoop clusters in the cloud and the challenges that presents. It introduces CloudFarmer, a tool that allows defining roles for VMs and dynamically allocating VMs to roles. This allows building agile Hadoop clusters in the cloud that can adapt as needs change without static configurations. CloudFarmer provides a web UI to manage roles and hosts.
This document provides an overview of Cloudera's SQL-on-Hadoop technologies and how to choose the right tool for different jobs. It discusses Hive for batch processing, Impala for interactive SQL and analytics, and SparkSQL for machine learning applications. The document also summarizes performance benchmarks that show Impala outperforming other SQL-on-Hadoop engines in terms of throughput, latency, and scalability. Finally, it briefly outlines new features in Cloudera 5.5 including improvements to Impala, Hive, SparkSQL, and the introduction of Kudu and RecordService.
Multi-Tenant Operations with Cloudera 5.7 & BTCloudera, Inc.
One benefit of Apache Hadoop is the ability to power multiple workloads, across many different users and departments, all within a single, shared cluster. Hear how BT is doing this today and learn about new features in Cloudera Manager to provide better visibility for multi-tenant operations.
This document outlines PayPal's OpenCloud platform built using OpenStack. The platform aims to provide agility, availability and innovation through a unified PaaS and IaaS stack. It uses OpenStack for compute, storage and networking with additional services for load balancing, DNS management and monitoring. The current deployment includes one OpenStack installation per data center, supporting 1300 VMs across 96 compute nodes. Lessons learned so far include fitting OpenStack into existing infrastructure and customizing availability zones. Future plans include improving networking, bare metal provisioning, and extending the platform to development, QA and other environments.
Intel and Cloudera: Accelerating Enterprise Big Data SuccessCloudera, Inc.
The data center has gone through several inflection points in the past decades: adoption of Linux, migration from physical infrastructure to virtualization and Cloud, and now large-scale data analytics with Big Data and Hadoop.
Please join us to learn about how Cloudera and Intel are jointly innovating through open source software to enable Hadoop to run best on IA (Intel Architecture) and to foster the evolution of a vibrant Big Data ecosystem.
This document provides an overview of Cloudera's SQL on Hadoop technologies including Hive, Spark SQL, and Impala. It discusses the features and capabilities of each technology, how they differ, and when each would be best suited for different use cases. Key points covered include Hive being optimized for batch processing while Impala and Spark SQL enable lower latency queries. The document also reviews columnar data formats like Parquet that can improve performance.
Cloudera Navigator provides integrated data governance and security for Hadoop. It includes features for metadata management, auditing, data lineage, encryption, and policy-based data governance. KeyTrustee is Cloudera's key management server that integrates with hardware security modules to securely manage encryption keys. Together, Navigator and KeyTrustee allow users to classify data, audit usage, and encrypt data at rest and in transit to meet security and compliance needs.
The document discusses data access security in Hadoop, including Apache Sentry and RecordService. It provides an overview of Sentry, describing how it works with different Hadoop components like Hive and Impala to provide role-based access control. It also discusses the need for fine-grained access control and how RecordService aims to address this need.
The document discusses running Hadoop clusters in the cloud and the challenges that presents. It introduces CloudFarmer, a tool that allows defining roles for VMs and dynamically allocating VMs to roles. This allows building agile Hadoop clusters in the cloud that can adapt as needs change without static configurations. CloudFarmer provides a web UI to manage roles and hosts.
This document provides an overview of Cloudera's SQL-on-Hadoop technologies and how to choose the right tool for different jobs. It discusses Hive for batch processing, Impala for interactive SQL and analytics, and SparkSQL for machine learning applications. The document also summarizes performance benchmarks that show Impala outperforming other SQL-on-Hadoop engines in terms of throughput, latency, and scalability. Finally, it briefly outlines new features in Cloudera 5.5 including improvements to Impala, Hive, SparkSQL, and the introduction of Kudu and RecordService.
Multi-Tenant Operations with Cloudera 5.7 & BTCloudera, Inc.
One benefit of Apache Hadoop is the ability to power multiple workloads, across many different users and departments, all within a single, shared cluster. Hear how BT is doing this today and learn about new features in Cloudera Manager to provide better visibility for multi-tenant operations.
This document outlines PayPal's OpenCloud platform built using OpenStack. The platform aims to provide agility, availability and innovation through a unified PaaS and IaaS stack. It uses OpenStack for compute, storage and networking with additional services for load balancing, DNS management and monitoring. The current deployment includes one OpenStack installation per data center, supporting 1300 VMs across 96 compute nodes. Lessons learned so far include fitting OpenStack into existing infrastructure and customizing availability zones. Future plans include improving networking, bare metal provisioning, and extending the platform to development, QA and other environments.
The document discusses how Hadoop can help solve data and analytics problems at Yahoo before and after adopting Hadoop. It summarizes that before Hadoop, Yahoo had issues with limited ETL windows, inability to reprocess data for errors, loss of data granularity, inability to query raw data or have a consolidated data repository. After adopting Hadoop, Yahoo was able to do more advanced analytics and data exploration on their large amounts of raw data stored in Hadoop.
With the rise of Apache Hadoop, a next-generation enterprise data architecture is emerging that connects the systems powering business transactions and business intelligence. Hadoop is uniquely capable of storing, aggregating, and refining multi-structured data sources into formats that fuel new business insights. Apache Hadoop is fast becoming the defacto platform for processing Big Data. Hadoop started from a relatively humble beginning as a point solution for small search systems. Its growth into an important technology to the broader enterprise community dates back to Yahoo’s 2006 decision to evolve Hadoop into a system for solving its internet scale big data problems. Eric will discuss the current state of Hadoop and what is coming from a development standpoint as Hadoop evolves to meet more workloads.
Building Hadoop-as-a-Service with Pivotal Hadoop Distribution, Serengeti, & I...EMC
Hadoop has made it into the enterprise mainstream as Big Data technology. But, what about Hadoop as a private or public cloud service on a shared infrastructure? This session looks at a Hadoop solution with virtualization, shared storage, and multi-tenancy, and discuss how service providers can use Pivotal Hadoop Distribution, Isilon, and Serengeti to offer Hadoop-as-a-Service.
Objective 1: Understand Hadoop and its deployment challenges.
After this session you will be able to:
Objective 2: Understand the EMC HDaaS solution architecture and the use cases it addresses.
Objective 3: Understand Pivotal Hadoop Distribution, Serengeti and Isilon's Hadoop features.
HP Helion OpenStack Community Edition DeploymentMarton Kiss
HP Helion OpenStack CE is an OpenStack distribution packaged by HP based on open source components. It provides infrastructure as a service, including VM management, networking, storage, and monitoring. This document outlines deploying it in virtual mode on a single physical server, which creates VMs for the undercloud and overcloud using KVM. The deployment takes around 65 minutes and provides a dashboard and monitoring interfaces for managing the private cloud infrastructure.
The Cloud Operating System powered by OPenStack is increasingly helping businesses to innovate, stay ahead of the competition, and differentiate based on unique expertise. This presentation provides an overview of the business challenges faced by IT departments and service providers and why and how they are looking at OpenStack and open source options to solve these issues. The presentation also covers how Dell is involved in OpenStack community and how it is helping customers succeed with OpenStack with its comprehensive end-to-end solutions powered by OpenStack at its core.
zData BI & Advanced Analytics Platform + 8 Week Pilot ProgramszData Inc.
This document describes zData's BI/Advanced Analytics Platform and Pilot Programs. The platform provides tools for storing, collaborating on, analyzing, and visualizing large amounts of data. It offers machine learning and predictive analytics. The platform can be deployed on-premise or in the cloud. zData also offers an 8-week pilot program that provides up to 1TB of data storage and full access to the platform's tools and services to test out the Big Data solution.
Big Data and virtualization are two of the most exciting trends in the industry today. In this session you will learn about the components of Big Data systems, and how real-time, interactive and distributed processing systems like Hadoop integrate with existing applications and databases. The combination of Big Data systems with virtualization gives Hadoop and other Big Data technologies the key benefits of cloud computing: elasticity, multi-tenancy and high availability. A new open source project that VMware will announce at the Hadoop Summit will make it easy to deploy, configure and manage Hadoop on a virtualized infrastructure. We will discuss reference architectures for key Hadoop distributions anddiscuss future directions of this new open source project.
1) The document discusses the growth of Rackspace's cloud business earnings from 2010 to 2011, showing significant quarter-over-quarter and year-over-year increases.
2) It provides an overview of the OpenStack ecosystem, including that there are currently about 200 organizations participating.
3) The presentation discusses how OpenStack is being applied in the education sector to provide abstractions that can help advance educational technology.
Cloudera Data Science Workbench: sparklyr, implyr, and More - dplyr Interfac...Cloudera, Inc.
You like to use R, and you need to use big data. dplyr, one of the most popular packages for R, makes it easy to query large data sets in scalable processing engines like Apache Spark and Apache Impala.
But there can be pitfalls: dplyr works differently with different data sources—and those differences can bite you if you don’t know what you’re doing.
Ian Cook is a data scientist, an R contributor, and a curriculum developer at Cloudera University. In this webinar, Ian will show you exactly what you need to know about sparklyr (from RStudio) and the package implyr (from Cloudera). He will show you how to write dplyr code that works across these different interfaces. And, he will solve mysteries:
Do I need to know SQL to use dplyr?
When is a “tbl” not a “tibble”?
Why is 1 not always equal to 1?
When should you collect(), collapse(), and compute()?
How can you use dplyr to combine data stored in different systems?
3 things to learn:
Do I need to know SQL to use dplyr?
When should you collect(), collapse(), and compute()?
How can you use dplyr to combine data stored in different systems?
There’s been a great interest in applying Data Science and Machine Learning algorithms for the insight from data lately. Fundamentally, these techniques are only made practical by today’s scale-out Modern Data Architecture, which enables these algorithms to perform computation at massive scale economically.
The focus of this talk is on the scale-out architecture, pioneered by Google. Initially a niche system architecture that is only applicable to Google, the systems built on top of the same principles are used in production across many industries, empowering enterprises to get better insights into their business, to become more agile and to do more things that were not possible previously.
I will start the talk by providing the historical context behind the evolution of data architecture, and then dive into the technical details of the scale-out system, Hadoop and its ecosystem. Afterwards, I will present a few notable production use cases of the system. Finally, I will touch upon some of the exciting challenges and opportunities lying ahead for the future data architecture.
There is a growing trend today of enterprises leveraging both Amazon Web Services (AWS) and on-premise OpenStack-based private clouds. However, the default networking option in OpenStack remains broken and the plethora of confusing plug-ins makes networking in OpenStack mysterious and difficult to manage.
Enter MidoNet, the open source network virtualization solution from Midokura favored by DevOps cultures in web scale enterprises and service providers around the world. This session will present case studies from several end user deployments, showing how they use MidoNet to build, run and manage large-scale virtual networks in OpenStack clouds. The session will also discuss how transitioning from a public to private cloud enables organizations to accomplish much more with the same resources, without over-simplifying the inherent complexity of running an OpenStack cloud.
What’s New in Cloudera Enterprise 6.0: The Inside Scoop 6.14.18Cloudera, Inc.
Webinar on Cloudera Enterprise 6.0 where we will discuss how to build new applications on the modern platform for machine learning and analytics. This webinar will take a look at the latest software enhancements and how they’ll help you improve your productivity and innovate new analytics applications.
Cloudera Impala - Las Vegas Big Data Meetup Nov 5th 2014cdmaxime
Maxime Dumas gives a presentation on Cloudera Impala, which provides fast SQL query capability for Apache Hadoop. Impala allows for interactive queries on Hadoop data in seconds rather than minutes by using a native MPP query engine instead of MapReduce. It offers benefits like SQL support, improved performance of 3-4x up to 90x faster than MapReduce, and flexibility to query existing Hadoop data without needing to migrate or duplicate it. The latest release of Impala 2.0 includes new features like window functions, subqueries, and spilling joins and aggregations to disk when memory is exhausted.
There have been heaping piles of buzz surrounding Ceph and OpenStack lately. Similar amounts of work have been going in to the integration between Ceph and OpenStack in recent versions. We'll take a look at how this work is making all the awesomeness of Ceph available to users in a simple, intuitive, and powerful way. The world of Havana and beyond is certainly no different, and promises to continue the trend of both functionality and buzz-worthiness.
This talk given at the OpenStack meetup in Boston (Aug 14, 2013) gives a brief introduction to Ceph for the uninitiated and take a look at what's coming down the road. The short term of Havana has plenty to keep fans of both platforms happy and busy, but there are plenty more interesting problems that we can tackle. In addition to the concrete of the short term we'll take a look at how less-oft-used pieces of the Ceph platform can help augment your OpenStack setup, some general blue sky thinking, and what the community can do to get involved.
Data Science and Machine Learning for the EnterpriseCloudera, Inc.
Overview of Machine Learning and how the Cloudera Data Science Workbench provides full access to data while supporting IT SLAs. The presentation includes details on Fast Forward Labs and The Value of Interpretability in Models.
How Big Data Can Enable Analytics from the Cloud (Technical Workshop)Cloudera, Inc.
In this workshop, we will look outside the box and help expand the problem space to include issues you may not have thought were possible before Big Data. From Near Real Time (NRT) recommendation engines, loan applications to churn detection, Big Data is answering new questions and providing organisations with a competitive edge through revenue increase, cost savings and risk mitigation. We will take a special look at the role the Cloud can play in elevating your analytics environment. We will discuss real world examples of how Big Data answers these questions and does it at a lower cost outlay.
CERN's IT infrastructure is reaching its limits and needs to expand to support increasing computing capacity demands while maintaining a fixed staff size. CERN is addressing this by expanding its data center capacity through a new remote facility in Budapest, Hungary, and by adopting new open source configuration, monitoring and infrastructure tools to improve efficiency. Key projects include deploying OpenStack for infrastructure as a service, Puppet for configuration management, and integrating monitoring across tools. The transition will take place between 2012-2014 alongside LHC upgrades.
La ingeniería de sistemas es un enfoque interdisciplinario que permite estudiar y comprender la realidad compleja para implementar u optimizar sistemas. Integra diferentes disciplinas y especialidades en un esfuerzo de equipo para desarrollar procesos estructurados. La educación de la carrera se divide en 5 años con clases de lunes a viernes, e incluye materias como matemáticas, tecnología, informática e ingeniería.
PoorBoy Clothing is an urban streetwear brand that creates t-shirts, hats, and clothing for men and children. The brand represents urban culture and aims to spread positive messages and experiences. It was started in 2011 by a couple in their home as a hobby and has since grown, with their designs seeking to inspire people to "feed their fresh" or positive energies and influence others to do the same. Their clothing exemplifies turning negative experiences into something positive.
The document discusses how Hadoop can help solve data and analytics problems at Yahoo before and after adopting Hadoop. It summarizes that before Hadoop, Yahoo had issues with limited ETL windows, inability to reprocess data for errors, loss of data granularity, inability to query raw data or have a consolidated data repository. After adopting Hadoop, Yahoo was able to do more advanced analytics and data exploration on their large amounts of raw data stored in Hadoop.
With the rise of Apache Hadoop, a next-generation enterprise data architecture is emerging that connects the systems powering business transactions and business intelligence. Hadoop is uniquely capable of storing, aggregating, and refining multi-structured data sources into formats that fuel new business insights. Apache Hadoop is fast becoming the defacto platform for processing Big Data. Hadoop started from a relatively humble beginning as a point solution for small search systems. Its growth into an important technology to the broader enterprise community dates back to Yahoo’s 2006 decision to evolve Hadoop into a system for solving its internet scale big data problems. Eric will discuss the current state of Hadoop and what is coming from a development standpoint as Hadoop evolves to meet more workloads.
Building Hadoop-as-a-Service with Pivotal Hadoop Distribution, Serengeti, & I...EMC
Hadoop has made it into the enterprise mainstream as Big Data technology. But, what about Hadoop as a private or public cloud service on a shared infrastructure? This session looks at a Hadoop solution with virtualization, shared storage, and multi-tenancy, and discuss how service providers can use Pivotal Hadoop Distribution, Isilon, and Serengeti to offer Hadoop-as-a-Service.
Objective 1: Understand Hadoop and its deployment challenges.
After this session you will be able to:
Objective 2: Understand the EMC HDaaS solution architecture and the use cases it addresses.
Objective 3: Understand Pivotal Hadoop Distribution, Serengeti and Isilon's Hadoop features.
HP Helion OpenStack Community Edition DeploymentMarton Kiss
HP Helion OpenStack CE is an OpenStack distribution packaged by HP based on open source components. It provides infrastructure as a service, including VM management, networking, storage, and monitoring. This document outlines deploying it in virtual mode on a single physical server, which creates VMs for the undercloud and overcloud using KVM. The deployment takes around 65 minutes and provides a dashboard and monitoring interfaces for managing the private cloud infrastructure.
The Cloud Operating System powered by OPenStack is increasingly helping businesses to innovate, stay ahead of the competition, and differentiate based on unique expertise. This presentation provides an overview of the business challenges faced by IT departments and service providers and why and how they are looking at OpenStack and open source options to solve these issues. The presentation also covers how Dell is involved in OpenStack community and how it is helping customers succeed with OpenStack with its comprehensive end-to-end solutions powered by OpenStack at its core.
zData BI & Advanced Analytics Platform + 8 Week Pilot ProgramszData Inc.
This document describes zData's BI/Advanced Analytics Platform and Pilot Programs. The platform provides tools for storing, collaborating on, analyzing, and visualizing large amounts of data. It offers machine learning and predictive analytics. The platform can be deployed on-premise or in the cloud. zData also offers an 8-week pilot program that provides up to 1TB of data storage and full access to the platform's tools and services to test out the Big Data solution.
Big Data and virtualization are two of the most exciting trends in the industry today. In this session you will learn about the components of Big Data systems, and how real-time, interactive and distributed processing systems like Hadoop integrate with existing applications and databases. The combination of Big Data systems with virtualization gives Hadoop and other Big Data technologies the key benefits of cloud computing: elasticity, multi-tenancy and high availability. A new open source project that VMware will announce at the Hadoop Summit will make it easy to deploy, configure and manage Hadoop on a virtualized infrastructure. We will discuss reference architectures for key Hadoop distributions anddiscuss future directions of this new open source project.
1) The document discusses the growth of Rackspace's cloud business earnings from 2010 to 2011, showing significant quarter-over-quarter and year-over-year increases.
2) It provides an overview of the OpenStack ecosystem, including that there are currently about 200 organizations participating.
3) The presentation discusses how OpenStack is being applied in the education sector to provide abstractions that can help advance educational technology.
Cloudera Data Science Workbench: sparklyr, implyr, and More - dplyr Interfac...Cloudera, Inc.
You like to use R, and you need to use big data. dplyr, one of the most popular packages for R, makes it easy to query large data sets in scalable processing engines like Apache Spark and Apache Impala.
But there can be pitfalls: dplyr works differently with different data sources—and those differences can bite you if you don’t know what you’re doing.
Ian Cook is a data scientist, an R contributor, and a curriculum developer at Cloudera University. In this webinar, Ian will show you exactly what you need to know about sparklyr (from RStudio) and the package implyr (from Cloudera). He will show you how to write dplyr code that works across these different interfaces. And, he will solve mysteries:
Do I need to know SQL to use dplyr?
When is a “tbl” not a “tibble”?
Why is 1 not always equal to 1?
When should you collect(), collapse(), and compute()?
How can you use dplyr to combine data stored in different systems?
3 things to learn:
Do I need to know SQL to use dplyr?
When should you collect(), collapse(), and compute()?
How can you use dplyr to combine data stored in different systems?
There’s been a great interest in applying Data Science and Machine Learning algorithms for the insight from data lately. Fundamentally, these techniques are only made practical by today’s scale-out Modern Data Architecture, which enables these algorithms to perform computation at massive scale economically.
The focus of this talk is on the scale-out architecture, pioneered by Google. Initially a niche system architecture that is only applicable to Google, the systems built on top of the same principles are used in production across many industries, empowering enterprises to get better insights into their business, to become more agile and to do more things that were not possible previously.
I will start the talk by providing the historical context behind the evolution of data architecture, and then dive into the technical details of the scale-out system, Hadoop and its ecosystem. Afterwards, I will present a few notable production use cases of the system. Finally, I will touch upon some of the exciting challenges and opportunities lying ahead for the future data architecture.
There is a growing trend today of enterprises leveraging both Amazon Web Services (AWS) and on-premise OpenStack-based private clouds. However, the default networking option in OpenStack remains broken and the plethora of confusing plug-ins makes networking in OpenStack mysterious and difficult to manage.
Enter MidoNet, the open source network virtualization solution from Midokura favored by DevOps cultures in web scale enterprises and service providers around the world. This session will present case studies from several end user deployments, showing how they use MidoNet to build, run and manage large-scale virtual networks in OpenStack clouds. The session will also discuss how transitioning from a public to private cloud enables organizations to accomplish much more with the same resources, without over-simplifying the inherent complexity of running an OpenStack cloud.
What’s New in Cloudera Enterprise 6.0: The Inside Scoop 6.14.18Cloudera, Inc.
Webinar on Cloudera Enterprise 6.0 where we will discuss how to build new applications on the modern platform for machine learning and analytics. This webinar will take a look at the latest software enhancements and how they’ll help you improve your productivity and innovate new analytics applications.
Cloudera Impala - Las Vegas Big Data Meetup Nov 5th 2014cdmaxime
Maxime Dumas gives a presentation on Cloudera Impala, which provides fast SQL query capability for Apache Hadoop. Impala allows for interactive queries on Hadoop data in seconds rather than minutes by using a native MPP query engine instead of MapReduce. It offers benefits like SQL support, improved performance of 3-4x up to 90x faster than MapReduce, and flexibility to query existing Hadoop data without needing to migrate or duplicate it. The latest release of Impala 2.0 includes new features like window functions, subqueries, and spilling joins and aggregations to disk when memory is exhausted.
There have been heaping piles of buzz surrounding Ceph and OpenStack lately. Similar amounts of work have been going in to the integration between Ceph and OpenStack in recent versions. We'll take a look at how this work is making all the awesomeness of Ceph available to users in a simple, intuitive, and powerful way. The world of Havana and beyond is certainly no different, and promises to continue the trend of both functionality and buzz-worthiness.
This talk given at the OpenStack meetup in Boston (Aug 14, 2013) gives a brief introduction to Ceph for the uninitiated and take a look at what's coming down the road. The short term of Havana has plenty to keep fans of both platforms happy and busy, but there are plenty more interesting problems that we can tackle. In addition to the concrete of the short term we'll take a look at how less-oft-used pieces of the Ceph platform can help augment your OpenStack setup, some general blue sky thinking, and what the community can do to get involved.
Data Science and Machine Learning for the EnterpriseCloudera, Inc.
Overview of Machine Learning and how the Cloudera Data Science Workbench provides full access to data while supporting IT SLAs. The presentation includes details on Fast Forward Labs and The Value of Interpretability in Models.
How Big Data Can Enable Analytics from the Cloud (Technical Workshop)Cloudera, Inc.
In this workshop, we will look outside the box and help expand the problem space to include issues you may not have thought were possible before Big Data. From Near Real Time (NRT) recommendation engines, loan applications to churn detection, Big Data is answering new questions and providing organisations with a competitive edge through revenue increase, cost savings and risk mitigation. We will take a special look at the role the Cloud can play in elevating your analytics environment. We will discuss real world examples of how Big Data answers these questions and does it at a lower cost outlay.
CERN's IT infrastructure is reaching its limits and needs to expand to support increasing computing capacity demands while maintaining a fixed staff size. CERN is addressing this by expanding its data center capacity through a new remote facility in Budapest, Hungary, and by adopting new open source configuration, monitoring and infrastructure tools to improve efficiency. Key projects include deploying OpenStack for infrastructure as a service, Puppet for configuration management, and integrating monitoring across tools. The transition will take place between 2012-2014 alongside LHC upgrades.
La ingeniería de sistemas es un enfoque interdisciplinario que permite estudiar y comprender la realidad compleja para implementar u optimizar sistemas. Integra diferentes disciplinas y especialidades en un esfuerzo de equipo para desarrollar procesos estructurados. La educación de la carrera se divide en 5 años con clases de lunes a viernes, e incluye materias como matemáticas, tecnología, informática e ingeniería.
PoorBoy Clothing is an urban streetwear brand that creates t-shirts, hats, and clothing for men and children. The brand represents urban culture and aims to spread positive messages and experiences. It was started in 2011 by a couple in their home as a hobby and has since grown, with their designs seeking to inspire people to "feed their fresh" or positive energies and influence others to do the same. Their clothing exemplifies turning negative experiences into something positive.
Este documento presenta el plan de estudios de Formación Cívica y Ética y Matemáticas para primer grado de primaria. El plan de Formación Cívica y Ética contiene 8 semanas divididas en ámbitos como Estudio, Literatura y Participación Comunitaria. El plan de Matemáticas contiene 7 semanas con lecciones sobre números, operaciones matemáticas básicas y reconocimiento de figuras geométricas.
El documento presenta diferentes tipos de ropa que usan dos hombres, Juan y Memo, en diferentes situaciones. Describe la ropa casual que usa Juan los fines de semana, incluyendo zapatos de tenis, calcetines, sudadera y pantalones deportivos. También menciona la poca ropa que usa Memo regularmente y algunas prendas formales que puede usar ocasionalmente, como reloj, sombrero o corbata. Finalmente, hace preguntas sobre la ropa que la gente usa a diario o sólo algunas veces.
Este documento resume la historia y características de los foros en Internet. Explica que un foro es una aplicación web que permite discusiones en línea sobre un tema común. Los foros suelen ser moderados y permiten que los usuarios respondan y comiencen nuevas discusiones anidadas. Existen varios sistemas para crear foros en línea, como phpBB y vBulletin. Los principales problemas que enfrentan los foros son el spam, los trolles y los usuarios que solo se aprovechan de la comunidad.
Seguridad en internet y telefonía celularPaulavicky33
Este documento describe los riesgos de seguridad en Internet y telefonía celular, como el robo de contraseñas, identidad y uso no autorizado de imágenes personales en Internet, y el alto costo de algunos servicios móviles, mensajes no deseados y contaminación electromagnética de los celulares. Recomienda evitar compartir información personal en línea, usar contraseñas seguras y no encontrarse con desconocidos, así como limitar el uso de celulares cuando sea posible para reducir la exposición a radiaciones.
Este documento describe las atrocidades cometidas por el doctor Josef Mengele en el campo de concentración de Auschwitz durante la Segunda Guerra Mundial. Mengele realizaba experimentos médicos inhumanos en gemelos y otras personas para estudiar la genética y promover la ideología nazi de la superioridad aria. Sus actos incluyeron matar gemelos de todas las edades mediante inyecciones letales y disecciones, e intentar crear siameses uniendo a dos niños pequeños por la espalda.
Extracts from paper SPE 162911: Exploration Assets Evaluation: A Practical Wa...dsurovtsev
The document discusses discretization, which is the process of transforming a continuous probability curve into a limited number of cases with assigned probabilities. It reviews several common discretization methods used in the oil and gas industry that involve selecting fractiles from the curve and assigning them probability weights. The document warns that the accuracy of discretization depends on the shape of the value function, and that in reality the value function is stochastic rather than a single dependency line, so discretization based solely on the input curve may not accurately reflect the output curve. It proposes a method that preliminarily estimates the stochastic output curve, then applies discretization to obtain NPV fractiles which are reverse-fitted to the resource curve using the stochastic value function.
La placa madre funciona como una placa "materna" que toma la forma de un circuito impreso con conectores para tarjetas de expansión, módulos de memoria y procesadores.
Facebook fue creada en 2004 por Mark Zuckerberg como una comunidad en línea para que la gente compartiera sus gustos y sentimientos, se popularizó en 2006 y en 2007-2008 se lanzó la versión en español traducida por usuarios. Ofrece funciones como lista de amigos, grupos, muro, fotos, regalos y juegos.
La Unión Europea ha acordado un paquete de sanciones contra Rusia por su invasión de Ucrania. Las sanciones incluyen restricciones a las transacciones con bancos rusos clave y la prohibición de la venta de aviones y equipos a Rusia. Los líderes de la UE esperan que las sanciones aumenten la presión económica sobre Rusia y la disuadan de continuar su agresión contra Ucrania.
Bộ truyện tranh Doraemon Tiếng Anh
Một bộ truyện đã được rất nhiều lứa tuổi khác nhau ưa thích! Cùng nhau đọc và học tiếng Anh nhé!
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Cảm ơn các bạn đã ủng hộ HdZ
El documento describe la sociedad red y sus características principales. En resumen:
1) La sociedad red se basa en redes de información que conectan a los nodos a través de tecnologías como Internet.
2) Ha transformado nociones como el espacio y el tiempo, permitiendo la comunicación global en tiempo real.
3) Trae consecuencias tanto positivas como negativas en áreas como la economía, la sociedad y la política.
Pascual Saludable: Tu salud, nuestra razón de serCalidad Pascual
Nuestro director de RC y comunicación, Francisco Hevia, ha participado en la mesa redonda "El Bienestar Social y RSE: Las empresas saludables", dentro de la jornada organizada por la Xunta de Galicia
El documento habla sobre los sistemas computarizados para llevar registros de datos y las bases de datos. Explica que los sistemas de gestión de bases de datos son software específico que sirve como interfaz entre la base de datos, el usuario y las aplicaciones. Además, menciona que Microsoft Access es un sistema de gestión de bases de datos desarrollado por Microsoft para sistemas Windows y destinado a ser usado en entornos personales o pequeñas organizaciones.
This document outlines the course syllabus for BA 7013 - Services Marketing. It includes 5 units that cover topics such as defining services and their characteristics, assessing service market potential and customer expectations, service design and quality, delivery and development of services, and marketing strategies for specific service industries. Some key industries discussed include tourism, hospitality, healthcare, and education. The syllabus provides learning objectives, discussion questions, and assignments for each unit to help students understand the unique aspects of marketing services compared to goods.
Webinar: Productionizing Hadoop: Lessons Learned - 20101208Cloudera, Inc.
Key insights in installing, configuring, and running Hadoop and Cloudera's Distribution for Hadoop in production. These are lessons learned from Cloudera helping organizations move to a productions state with Hadoop.
20100806 cloudera 10 hadoopable problems webinarCloudera, Inc.
Jeff Hammerbacher introduced 10 common problems that are suitable for solving with Hadoop. These include modeling true risk, customer churn analysis, recommendation engines, ad targeting, point of sale transaction analysis, analyzing network data to predict failures, threat analysis, trade surveillance, search quality, and using Hadoop as a data sandbox. Many of these problems involve analyzing large and complex datasets from multiple sources to discover patterns and relationships.
Join Cloudera’s founder and Chief Scientist, Jeff Hammerbacher, as he describes ten common problems that are being solved with Apache Hadoop.
A replay of the webinar can be viewed here:
https://www1.gotomeeting.com/register/719074008
Hadoop As The Platform For The Smartgrid At TVACloudera, Inc.
Cloudera's Josh Paterson presented how Hadoop is used as the platform for smartgrid technologies at the Tennessee Valley Authority. This presentation encompasses a retrospective on the openPDC project, what Hadoop is, current smartgrid obsticles, and Cloudera Enterprise as The New Smartgrid Platform.
Hadoop operations started on-prem primarily driven by Apache Ambari. However, due to the agility and flexibility of the cloud, it has driven many Hadoop cluster operations to the cloud and to hybrid environments. Cloud is enabling many ephemeral on-demand use cases which is a game-changing opportunity for analytic workloads. But all of this comes with the challenges of running enterprise workloads in the cloud securely and with ease.
Apache Ambari is used by thousands of Hadoop Operators to manage the deployment, lifecycle, and automation of DevOps for Hadoop ecosystem projects. Starting out, Apache Ambari installed a handful of Apache Hadoop ecosystem projects, on a few operating systems, and helped with the most basic Hadoop operational tasks. Today, the product manages over 20 different services, runs on multiple major operating systems and versions, and automates many of the most challenging Hadoop operational tasks in the most secure customer environments.
In this session, we will also take you through Cloudbreak as a solution to simplify provisioning and managing enterprise workloads while providing an open and common experience for deploying workloads across clouds. We will discuss the challenges (and opportunities) to run enterprise workloads in the cloud and will go through a live demo of how the latest from Cloudbreak enables enterprises to easily and securely run Apache Hadoop. This includes deep-dive discussion on Ambari Blueprints, recipes, custom images, and enabling Kerberos -- which are all key capabilities for Enterprise deployments.
As part of this talk, will walk you through what we've learned, the challenges we've overcome, and how the Apache Ambari and Cloudbreak community has changed the product to handle them. The future is fast approaching, and with it comes new on-premise and cloud deployment architectures. See how Apache Ambari and Cloudbreak are being re-imagined to handle these new challenges.
Speaker: Santosh Gowda, Principal Solutions Engineer, Hortonworks
Hadoop operations started on-prem primarily driven by Apache Ambari. However, due to the agility and flexibility of the cloud, it has driven many Hadoop cluster operations to the cloud and to hybrid environments. Cloud is enabling many ephemeral on-demand use cases which is a game-changing opportunity for analytic workloads. But all of this comes with the challenges of running enterprise workloads in the cloud securely and with ease.
Apache Ambari is used by thousands of Hadoop Operators to manage the deployment, lifecycle, and automation of DevOps for Hadoop ecosystem projects. Starting out, Apache Ambari installed a handful of Apache Hadoop ecosystem projects, on a few operating systems, and helped with the most basic Hadoop operational tasks. Today, the product manages over 20 different services, runs on multiple major operating systems and versions, and automates many of the most challenging Hadoop operational tasks in the most secure customer environments.
In this session, we will also take you through Cloudbreak as a solution to simplify provisioning and managing enterprise workloads while providing an open and common experience for deploying workloads across clouds. We will discuss the challenges (and opportunities) to run enterprise workloads in the cloud and will go through a live demo of how the latest from Cloudbreak enables enterprises to easily and securely run Apache Hadoop. This includes deep-dive discussion on Ambari Blueprints, recipes, custom images, and enabling Kerberos -- which are all key capabilities for Enterprise deployments.
As part of this talk, will walk you through what we've learned, the challenges we've overcome, and how the Apache Ambari and Cloudbreak community has changed the product to handle them. The future is fast approaching, and with it comes new on-premise and cloud deployment architectures. See how Apache Ambari and Cloudbreak are being re-imagined to handle these new challenges.
This document discusses building applications on Hadoop and introduces the Kite SDK. It provides an overview of Hadoop and its components like HDFS and MapReduce. It then discusses that while Hadoop is powerful and flexible, it can be complex and low-level, making application development challenging. The Kite SDK aims to address this by providing higher-level APIs and abstractions to simplify common use cases and allow developers to focus on business logic rather than infrastructure details. It includes modules for data, ETL processing with Morphlines, and tools for working with datasets and jobs. The SDK is open source and supports modular adoption.
This document provides an overview of Apache Hadoop security, both historically and what is currently available and planned for the future. It discusses how Hadoop security is different due to benefits like combining previously siloed data and tools. The four areas of enterprise security - perimeter, access, visibility, and data protection - are reviewed. Specific security capabilities like Kerberos authentication, Apache Sentry role-based access control, Cloudera Navigator auditing and encryption, and HDFS encryption are summarized. Planned future enhancements are also mentioned like attribute-based access controls and improved encryption capabilities.
http://www.learntek.org/product/big-data-and-hadoop/
http://www.learntek.org
Learntek is global online training provider on Big Data Analytics, Hadoop, Machine Learning, Deep Learning, IOT, AI, Cloud Technology, DEVOPS, Digital Marketing and other IT and Management courses. We are dedicated to designing, developing and implementing training programs for students, corporate employees and business professional.
Hortonworks provides an overview of their Tez framework for improving Hadoop query processing. Tez aims to accelerate queries by expressing them as dataflow graphs that can be optimized, rather than relying solely on MapReduce. It also aims to empower users by allowing flexible definition of data pipelines and composition of inputs, processors, and outputs. Early results show a 100x speedup on benchmark queries compared to traditional MapReduce.
Intel IT is extending their OpenStack IaaS with Cloud Foundry PaaS to provide a more dynamic and flexible cloud environment. They selected Cloud Foundry due to its ability to improve application deployment times and support for a wide variety of applications. Intel IT deployed Cloud Foundry on OpenStack using BOSH and is addressing challenges around open source maturity, specialized requirements, and developing more cloud-aware applications. Their future strategy involves a hybrid cloud approach using smart orchestration between private and public clouds.
Intro to Hadoop Presentation at Carnegie Mellon - Silicon Valleymarkgrover
The document provides an introduction to Apache Hadoop and its ecosystem. It discusses how Hadoop addresses the need for scalable data storage and processing to handle large volumes, velocities and varieties of data. Hadoop's two main components are the Hadoop Distributed File System (HDFS) for reliable data storage across commodity hardware, and MapReduce for distributed processing of large datasets in parallel. The document also compares Hadoop to other distributed systems and outlines some of Hadoop's fundamental design principles around data locality, reliability, and throughput over latency.
Vmware Serengeti - Based on Infochimps IronfanJim Kaskade
This document discusses virtualizing Hadoop for the enterprise. It begins with discussing trends driving changes in enterprise IT like cloud, mobile apps, and big data. It then discusses how Hadoop can address big, fast, and flexible data needs. The rest of the document discusses how virtualizing Hadoop through solutions like Project Serengeti can provide enterprises with elasticity, high availability, and operational simplicity for their Hadoop implementations. It also discusses how virtualization allows enterprises to integrate Hadoop with other workloads and data platforms.
Pivotal introduces its new Pivotal HD platform for big data analytics. Pivotal HD integrates Hadoop, HBase, Pig, Hive and other big data tools into an enterprise-grade distribution. It also includes tools like Command Center for job and cluster monitoring and HAWQ for SQL queries on Hadoop. Pivotal positions Pivotal HD as addressing pain points with Hadoop like usability, manageability and performance in order to make big data analytics mission-critical for enterprises.
Introduction to Hortonworks Data PlatformHortonworks
This document introduces the Hortonworks Data Platform. It summarizes the key features of the platform, including its ability to simplify deployment, monitor and manage large clusters, integrate with any data source, and provide metadata services. The document demonstrates the Hortonworks Management Center and features for high availability, data integration, and metadata services. It concludes by discussing training, support, and certification services available from Hortonworks.
Deploying and Managing Hadoop Clusters with AMBARIDataWorks Summit
Deploying, configuring, and managing large Hadoop and HBase clusters can be quite complex. Just upgrading one Hadoop component on a 2000-node cluster can take a lot of time and expertise, and there have been few tools specialized for Hadoop cluster administrators. AMBARI is an Apache incubator project to deliver Monitoring and Management functionality for Hadoop clusters. This paper presents the AMBARI tools for cluster management, specifically: Cluster pre-configuration and validation; Hadoop software deployment, installation, and smoketest; Hadoop configuration and re-config; and a basic set of management ops including start/stop service, add/remove node, etc. In providing these capabilities, AMBARI seeks to integrate with (rather than replace) existing open-source packaging and deployment technology available in most data centers, such as Puppet and Chef, Yum, Apt, and Zypper.
Hadoop 2.0 is gaining adoption among information workers seeking to analyze big data. Since its release, Hadoop has seen increased use by open source developers and vendors looking to leverage its scalability. Hadoop adoption continues to rise and it is entering a phase of maturity. Big data platforms are evolving from standalone tools to integrated platforms with increased capabilities. This reduces programming needs and shifts roles among IT professionals, data scientists, and business analysts.
Oracle Cloud : Big Data Use Cases and ArchitectureRiccardo Romani
Oracle Itay Systems Presales Team presents : Big Data in any flavor, on-prem, public cloud and cloud at customer.
Presentation done at Digital Transformation event - February 2017
Hadoop in the Enterprise - Dr. Amr Awadallah @ Microstrategy World 2011Cloudera, Inc.
- Apache Hadoop is an open-source software framework for distributed storage and processing of large datasets across clusters of commodity hardware.
- Cloudera's Data Operating System (CDH) is an enterprise-grade distribution of Apache Hadoop that includes additional components for management, security, and integration with existing systems.
- CDH enables enterprises to leverage Hadoop for data agility, consolidation of structured and unstructured data sources, complex data processing using various programming languages, and economical storage of data regardless of type or size.
The document discusses using Cloudera DataFlow to address challenges with collecting, processing, and analyzing log data across many systems and devices. It provides an example use case of logging modernization to reduce costs and enable security solutions by filtering noise from logs. The presentation shows how DataFlow can extract relevant events from large volumes of raw log data and normalize the data to make security threats and anomalies easier to detect across many machines.
Cloudera Data Impact Awards 2021 - Finalists Cloudera, Inc.
The document outlines the 2021 finalists for the annual Data Impact Awards program, which recognizes organizations using Cloudera's platform and the impactful applications they have developed. It provides details on the challenges, solutions, and outcomes for each finalist project in the categories of Data Lifecycle Connection, Cloud Innovation, Data for Enterprise AI, Security & Governance Leadership, Industry Transformation, People First, and Data for Good. There are multiple finalists highlighted in each category demonstrating innovative uses of data and analytics.
2020 Cloudera Data Impact Awards FinalistsCloudera, Inc.
Cloudera is proud to present the 2020 Data Impact Awards Finalists. This annual program recognizes organizations running the Cloudera platform for the applications they've built and the impact their data projects have on their organizations, their industries, and the world. Nominations were evaluated by a panel of independent thought-leaders and expert industry analysts, who then selected the finalists and winners. Winners exemplify the most-cutting edge data projects and represent innovation and leadership in their respective industries.
The document outlines the agenda for Cloudera's Enterprise Data Cloud event in Vienna. It includes welcome remarks, keynotes on Cloudera's vision and customer success stories. There will be presentations on the new Cloudera Data Platform and customer case studies, followed by closing remarks. The schedule includes sessions on Cloudera's approach to data warehousing, machine learning, streaming and multi-cloud capabilities.
Machine Learning with Limited Labeled Data 4/3/19Cloudera, Inc.
Cloudera Fast Forward Labs’ latest research report and prototype explore learning with limited labeled data. This capability relaxes the stringent labeled data requirement in supervised machine learning and opens up new product possibilities. It is industry invariant, addresses the labeling pain point and enables applications to be built faster and more efficiently.
Data Driven With the Cloudera Modern Data Warehouse 3.19.19Cloudera, Inc.
In this session, we will cover how to move beyond structured, curated reports based on known questions on known data, to an ad-hoc exploration of all data to optimize business processes and into the unknown questions on unknown data, where machine learning and statistically motivated predictive analytics are shaping business strategy.
Introducing Cloudera DataFlow (CDF) 2.13.19Cloudera, Inc.
Watch this webinar to understand how Hortonworks DataFlow (HDF) has evolved into the new Cloudera DataFlow (CDF). Learn about key capabilities that CDF delivers such as -
-Powerful data ingestion powered by Apache NiFi
-Edge data collection by Apache MiNiFi
-IoT-scale streaming data processing with Apache Kafka
-Enterprise services to offer unified security and governance from edge-to-enterprise
Introducing Cloudera Data Science Workbench for HDP 2.12.19Cloudera, Inc.
Cloudera’s Data Science Workbench (CDSW) is available for Hortonworks Data Platform (HDP) clusters for secure, collaborative data science at scale. During this webinar, we provide an introductory tour of CDSW and a demonstration of a machine learning workflow using CDSW on HDP.
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19Cloudera, Inc.
Join Cloudera as we outline how we use Cloudera technology to strengthen sales engagement, minimize marketing waste, and empower line of business leaders to drive successful outcomes.
Leveraging the cloud for analytics and machine learning 1.29.19Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on Azure. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19Cloudera, Inc.
Join us to learn about the challenges of legacy data warehousing, the goals of modern data warehousing, and the design patterns and frameworks that help to accelerate modernization efforts.
Leveraging the Cloud for Big Data Analytics 12.11.18Cloudera, Inc.
Learn how organizations are deriving unique customer insights, improving product and services efficiency, and reducing business risk with a modern big data architecture powered by Cloudera on AWS. In this webinar, you see how fast and easy it is to deploy a modern data management platform—in your cloud, on your terms.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
Explore new trends and use cases in data warehousing including exploration and discovery, self-service ad-hoc analysis, predictive analytics and more ways to get deeper business insight. Modern Data Warehousing Fundamentals will show how to modernize your data warehouse architecture and infrastructure for benefits to both traditional analytics practitioners and data scientists and engineers.
The document discusses the benefits and trends of modernizing a data warehouse. It outlines how a modern data warehouse can provide deeper business insights at extreme speed and scale while controlling resources and costs. Examples are provided of companies that have improved fraud detection, customer retention, and machine performance by implementing a modern data warehouse that can handle large volumes and varieties of data from many sources.
Extending Cloudera SDX beyond the PlatformCloudera, Inc.
Cloudera SDX is by no means no restricted to just the platform; it extends well beyond. In this webinar, we show you how Bardess Group’s Zero2Hero solution leverages the shared data experience to coordinate Cloudera, Trifacta, and Qlik to deliver complete customer insight.
Federated Learning: ML with Privacy on the Edge 11.15.18Cloudera, Inc.
Join Cloudera Fast Forward Labs Research Engineer, Mike Lee Williams, to hear about their latest research report and prototype on Federated Learning. Learn more about what it is, when it’s applicable, how it works, and the current landscape of tools and libraries.
Analyst Webinar: Doing a 180 on Customer 360Cloudera, Inc.
451 Research Analyst Sheryl Kingstone, and Cloudera’s Steve Totman recently discussed how a growing number of organizations are replacing legacy Customer 360 systems with Customer Insights Platforms.
Build a modern platform for anti-money laundering 9.19.18Cloudera, Inc.
In this webinar, you will learn how Cloudera and BAH riskCanvas can help you build a modern AML platform that reduces false positive rates, investigation costs, technology sprawl, and regulatory risk.
Introducing the data science sandbox as a service 8.30.18Cloudera, Inc.
How can companies integrate data science into their businesses more effectively? Watch this recorded webinar and demonstration to hear more about operationalizing data science with Cloudera Data Science Workbench on Cazena’s fully-managed cloud platform.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
AI-Powered Food Delivery Transforming App Development in Saudi Arabia.pdfTechgropse Pvt.Ltd.
In this blog post, we'll delve into the intersection of AI and app development in Saudi Arabia, focusing on the food delivery sector. We'll explore how AI is revolutionizing the way Saudi consumers order food, how restaurants manage their operations, and how delivery partners navigate the bustling streets of cities like Riyadh, Jeddah, and Dammam. Through real-world case studies, we'll showcase how leading Saudi food delivery apps are leveraging AI to redefine convenience, personalization, and efficiency.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
4. A Career…
Copyright 2010 Cloudera Inc. All rights reserved 4
5. An Ecosystem…
Copyright 2010 Cloudera Inc. All rights reserved 5
6. A Market…
Copyright 2010 Cloudera Inc. All rights reserved 6
7. An Emerging Platform for Applications…
Graph analysis Machine learning Scientific Archive Security
Query & reporting Complex ETL Search quality Fraud detection
Clickstream analysis POS analysis Trade compliance And more…
Copyright 2010 Cloudera Inc. All rights reserved 7
8. Hadoop Started From Humble Beginnings….
• MapReduce and HDFS only
• Good for experienced Java
programmers
• Limited application set
Copyright 2010 Cloudera Inc. All rights reserved 8
9. Innovation: the Secret to Hadoop Success
• Projects & components
develop around Hadoop
“Provide more levels of
“Provide common
abstraction & automation
technical services”
for job creation ”
• User base grows
“Make it “Cover more data
movements –
• More applications easier to get
data in & out” inserts, appends,
etc”
are made possible
Copyright 2010 Cloudera Inc. All rights reserved 9
10. But Innovation Isn’t Free
• For every release of MapReduce 20
and HDFS, there are >20
10
releases of related projects
0
• Every component has its own
schedule, versioning, HBase 0.89 HDFS 0.20
dependencies & patch Pig 0.7
requirements Hive 0.6 Oozie 2.0
• Hadoop community likes to
build 2-3 of everything
Copyright 2010 Cloudera Inc. All rights reserved 10
11. Announcing Cloudera’s Distribution for Hadoop v3
• Open source – 100% Apache licensed
• Simplified – Cloudera manages
required versions &
dependencies
• Integrated – all components
interoperate
• Reliable – patched with fixes
from future releases to
improve stability
• Easy to consume – Debian, RPM, tarball, Virtual Machine, EC2,
Rackspace, Softlayer
Copyright 2010 Cloudera Inc. All rights reserved 11
12. What’s New in CDH v3?
• Updates to existing Hadoop frameworks
• Pig 0.7
• Sqoop 1.0
• Hadoop 0.20S (planned)
• Support for 3 new related components
• HBase – with durability
• Zookeeper
• Oozie – run workflows + support for Hive & Sqoop actions
• Introducing 2 new components
• Flume – collect streaming data with centralized
configuration & guaranteed delivery
• Hue – web UI and SDK for Hadoop web applications
Copyright 2010 Cloudera Inc. All rights reserved 12
14. Harnessing Hadoop Has Challenges
Skill Set – experts only
Complexity – more than ten components
Manageability – hard to configure, monitor & administer
Interoperability – limited support for DBMS &
analytic tools
14
15. Announcing Cloudera Enterprise
• Reduces the risks of running Hadoop in production
• Improves consistency, compliance and administrative overhead
Management tools
• Monitoring & config for
data integration
• Authorization mgmt &
provisioning
• Resource mgmt
• Production support for CDH & certified integrations (e.g. Oracle,
Vertica)
Copyright 2010 Cloudera Inc. All rights reserved 15
17. Some Announcements
• Party at our place
• Hackathon on CDH3 – applications, enhancements, open
source contributions
• July 27th, 9:30am – 7:30pm
• For invite: hackathon@cloudera.com
• Free food & snacks
• Or stay home and read
• Hadoop the Definitive Guide, second edition
• Available on October 12th at Hadoop World
Copyright 2010 Cloudera Inc. All rights reserved 17
18. Thank You!
• Stop by our table if you have questions!
Copyright 2010 Cloudera Inc. All rights reserved 18