Dans le contexte d’une confrontation de plus en plus dure engagée sur le front de la loi Travail, les résultats du baromètre TNS Sofres-One Point pour le Figaro Magazine montrent un fort recul de la popularité du Premier ministre. En un mois, Manuel Valls perd 8 points, atteignant son plus bas niveau de confiance (18%). Dans le même temps, François Hollande conserve son record d’impopularité (13% de confiance, stable).
http://www.tns-sofres.com/publications/barometre-politique-juin-2016
Cassandra on Google Cloud Platform (Ravi Madasu, Google / Ben Lackey, DataSta...DataStax
During this session Ben Lackey (DataStax) and Ravi Madasu (Google) will cover best practices for quickly setting up a cluster on Google Cloud Platform (GCP) using both Google Compute Engine (GCE) and Google Container Engine (GKE) which is based on Kubernetes and Docker.
About the Speakers
Ben Lackey Partner Architect, DataStax
I work in the Cloud Strategy group at DataStax where I concentrate on improving the integration between DataStax Enterprise and cloud platforms including Azure, GCP and Pivotal.
Ravi Madasu
Ravi Madasu is a program manager at Google, primarily focused on Google Cloud Launcher. He works closely with ISV partners to make their products and services available on the Google Cloud Platform providing a developer friendly deployment experience. He has 15+ years of experience, working in variety of roles such as software engineer, project manager and product manager. Ravi received a Masters degree in Information Systems from Northeastern University and an MBA from Carnegie Mellon University.
Dans le contexte d’une confrontation de plus en plus dure engagée sur le front de la loi Travail, les résultats du baromètre TNS Sofres-One Point pour le Figaro Magazine montrent un fort recul de la popularité du Premier ministre. En un mois, Manuel Valls perd 8 points, atteignant son plus bas niveau de confiance (18%). Dans le même temps, François Hollande conserve son record d’impopularité (13% de confiance, stable).
http://www.tns-sofres.com/publications/barometre-politique-juin-2016
Cassandra on Google Cloud Platform (Ravi Madasu, Google / Ben Lackey, DataSta...DataStax
During this session Ben Lackey (DataStax) and Ravi Madasu (Google) will cover best practices for quickly setting up a cluster on Google Cloud Platform (GCP) using both Google Compute Engine (GCE) and Google Container Engine (GKE) which is based on Kubernetes and Docker.
About the Speakers
Ben Lackey Partner Architect, DataStax
I work in the Cloud Strategy group at DataStax where I concentrate on improving the integration between DataStax Enterprise and cloud platforms including Azure, GCP and Pivotal.
Ravi Madasu
Ravi Madasu is a program manager at Google, primarily focused on Google Cloud Launcher. He works closely with ISV partners to make their products and services available on the Google Cloud Platform providing a developer friendly deployment experience. He has 15+ years of experience, working in variety of roles such as software engineer, project manager and product manager. Ravi received a Masters degree in Information Systems from Northeastern University and an MBA from Carnegie Mellon University.
SASI: Cassandra on the Full Text Search Ride (DuyHai DOAN, DataStax) | C* Sum...DataStax
Since the introduction of SASI in Cassandra 3.4, it is way easier than before to query data. Now you can create performant indices on your columns as well as benefit from full text search capabilities with the introduction of the new `LIKE '%term%'` syntax.
This talk will show the architecture on a high level and exposes all the trade-offs so you can choose and use SAS wisely.
We also highlight some use-cases where SASI is not a good fit and should be avoided (there is no magic sorry)
To illustrate the talk, we'll use a sample database of 110 000 albums and artists and create indices on them
About the Speaker
DuyHai DOAN Apache Cassandra Evangelist, Datastax
DuyHai DOAN is an Apache Cassandra Evangelist at DataStax. He spends his time between technical presentations/meetups on Cassandra, coding on open source projects like Achilles or Apache Zeppelin to support the community and helping all companies using Cassandra to make their project successful. Previously he was working as a freelance Java/Cassandra consultant.
Godmanchester Chinese Bridge is an amazing grade two listed work of art but was neglected with broken DIY halogen floodlights, and a host of practical difficulties facing the new lighting team. Discover how this stunning footbridge has been transformed into a well-lit, warm, inviting area that balances the use of LED and SON lighting.
Talk by Pete Lummis IEng MILP, Project Engineer, Huntingdonshire District Council
2014-2015 Döneminde gerçekleştirilen Oltalama Saldırılarına ilişkin bulgularımızı temel alan eski tarihli bir rapor. Neredeyse tamamen geçerliliğini koruyor.
Spark Summit EU talk by Erwin Datema and Roeland van HamSpark Summit
The document discusses KeyGene's use of Apache Spark for high-throughput genomics data analysis. KeyGene is a crop innovation company that analyzes genomic data from thousands of plants to improve crop traits like yield and quality. They previously used conventional HPC clusters for genomics pipelines but found Spark enabled more interactive analysis. KeyGene developed a "Sparkified" genomics pipeline using tools like BWA, GATK and their own Guacamole variant caller. This allowed interactive variant selection and GWAS using Spark SQL queries, demonstrating Spark is well-suited for interactive plant genomics analysis.
Webinar | Real-time Analytics for Healthcare: How Amara Turned Big Data into ...DataStax
Increasing regulations on patient data, expanding and ever-changing data volumes and formats, and the need for real-time analytics are adding new levels of complexity to database platforms, forcing Healthcare IT management to rethink legacy database environments.
Join Christopher Rosin, Ph.D., Chief Scientist at Amara Health Analytics, as he shares his knowledge about implementing a real-time predictive analytics platform to support clinicians in the early detection of critical disease states. Based on years of research and hands-on experience, Chris provides practical steps for guiding DataStax Enterprise initiatives from evaluation to successful implementation.
Watch to learn:
- The challenges in selecting the right database technology for dynamic, real-time data without the rigidity of relational systems
- How Amara’s SaaS model delivers real-time decision support, leveraging large amounts of unstructured and structured clinical data
- How DataStax Enterprise helps meet strict requirements on patient data privacy, data integrity, and system performance
A Shortcut to Awesome: Cassandra Data Modeling By Example (Jon Haddad, The La...DataStax
For many newcomers to Cassandra the learning process starts with several iterations of failure and frustration. Aside from learning the nuance of an eventually consistent distributed database you're also tasked with learning the subtleties of a wide row store which evolved over time into a partition row store. What does that even mean?
In this talk I'll introduce the Cassandra Dataset Manager (cdm), a tool written in Rust, for installing curated Cassandra data models like they're Linux packages. Along with these datasets come blog posts, tutorials, sample applications and Jupyter notebooks for you to learn from. Instead of iterating over the same bad data model a dozen times, you can now leverage highly scalable, reference data models written by Cassandra pros with years of experience.
About the Speaker
Jon Haddad Consultant, The Last Pickle
Jon Haddad has 15 years experience in both development and operations. For the last 11 years, he's worked at various startups in southern California. In a past life, he put Cassandra in production and co-wrote cqlengine, the Python object mapper for CQL. After 2 years as an evangelist at DataStax, he is now Principal Consultant at The Last Pickle, helping customers of all size succeed with Apache Cassandra.
Elassandra: Elasticsearch as a Cassandra Secondary Index (Rémi Trouville, Vin...DataStax
Many companies use both elasticsearch and cassandra, typically in the form of logs or time series, but managing many softwares at a large scale can be quite challenging. Elassandra tightly integrates elasticsearch within cassandra as a secondary index, allowing near-realtime search with all existing elasticsearch APIs, plugins and tools like Kibana. We will present the core concepts of elassandra and explain how it draws benefit from internal cassandra features to make elasticsearch masterless, scalable with automatic resharding, more reliable and more efficient than deploying both softwares. We will also explore the bidirectional mapping : the way elasticsearch automatically creates the corresponding cassandra schema and the way elasticsearch indexes an existing cassandra table. Furthermore, we will share some use cases and benchmark results demonstrating practical use of elassandra to scale-out, re-index with zero-downtime, search and visualize data with various tools.
About the Speakers
Remi Trouville Consultant, Independant
Remi is an IT engineer who has worked for the last 8 years in the financial industry as a team manager responsible for all the call-center softwares managing the customer experience. At the end of this period, his team was dealing with 10,000+ agents with 100+ sites and some highly critical business processes such as storage of oral proof sales for transactions. He holds a Master's Degree in Telecommunication engineering and is now following an executive-MBA, in a French business school.
SASI: Cassandra on the Full Text Search Ride (DuyHai DOAN, DataStax) | C* Sum...DataStax
Since the introduction of SASI in Cassandra 3.4, it is way easier than before to query data. Now you can create performant indices on your columns as well as benefit from full text search capabilities with the introduction of the new `LIKE '%term%'` syntax.
This talk will show the architecture on a high level and exposes all the trade-offs so you can choose and use SAS wisely.
We also highlight some use-cases where SASI is not a good fit and should be avoided (there is no magic sorry)
To illustrate the talk, we'll use a sample database of 110 000 albums and artists and create indices on them
About the Speaker
DuyHai DOAN Apache Cassandra Evangelist, Datastax
DuyHai DOAN is an Apache Cassandra Evangelist at DataStax. He spends his time between technical presentations/meetups on Cassandra, coding on open source projects like Achilles or Apache Zeppelin to support the community and helping all companies using Cassandra to make their project successful. Previously he was working as a freelance Java/Cassandra consultant.
Godmanchester Chinese Bridge is an amazing grade two listed work of art but was neglected with broken DIY halogen floodlights, and a host of practical difficulties facing the new lighting team. Discover how this stunning footbridge has been transformed into a well-lit, warm, inviting area that balances the use of LED and SON lighting.
Talk by Pete Lummis IEng MILP, Project Engineer, Huntingdonshire District Council
2014-2015 Döneminde gerçekleştirilen Oltalama Saldırılarına ilişkin bulgularımızı temel alan eski tarihli bir rapor. Neredeyse tamamen geçerliliğini koruyor.
Spark Summit EU talk by Erwin Datema and Roeland van HamSpark Summit
The document discusses KeyGene's use of Apache Spark for high-throughput genomics data analysis. KeyGene is a crop innovation company that analyzes genomic data from thousands of plants to improve crop traits like yield and quality. They previously used conventional HPC clusters for genomics pipelines but found Spark enabled more interactive analysis. KeyGene developed a "Sparkified" genomics pipeline using tools like BWA, GATK and their own Guacamole variant caller. This allowed interactive variant selection and GWAS using Spark SQL queries, demonstrating Spark is well-suited for interactive plant genomics analysis.
Webinar | Real-time Analytics for Healthcare: How Amara Turned Big Data into ...DataStax
Increasing regulations on patient data, expanding and ever-changing data volumes and formats, and the need for real-time analytics are adding new levels of complexity to database platforms, forcing Healthcare IT management to rethink legacy database environments.
Join Christopher Rosin, Ph.D., Chief Scientist at Amara Health Analytics, as he shares his knowledge about implementing a real-time predictive analytics platform to support clinicians in the early detection of critical disease states. Based on years of research and hands-on experience, Chris provides practical steps for guiding DataStax Enterprise initiatives from evaluation to successful implementation.
Watch to learn:
- The challenges in selecting the right database technology for dynamic, real-time data without the rigidity of relational systems
- How Amara’s SaaS model delivers real-time decision support, leveraging large amounts of unstructured and structured clinical data
- How DataStax Enterprise helps meet strict requirements on patient data privacy, data integrity, and system performance
A Shortcut to Awesome: Cassandra Data Modeling By Example (Jon Haddad, The La...DataStax
For many newcomers to Cassandra the learning process starts with several iterations of failure and frustration. Aside from learning the nuance of an eventually consistent distributed database you're also tasked with learning the subtleties of a wide row store which evolved over time into a partition row store. What does that even mean?
In this talk I'll introduce the Cassandra Dataset Manager (cdm), a tool written in Rust, for installing curated Cassandra data models like they're Linux packages. Along with these datasets come blog posts, tutorials, sample applications and Jupyter notebooks for you to learn from. Instead of iterating over the same bad data model a dozen times, you can now leverage highly scalable, reference data models written by Cassandra pros with years of experience.
About the Speaker
Jon Haddad Consultant, The Last Pickle
Jon Haddad has 15 years experience in both development and operations. For the last 11 years, he's worked at various startups in southern California. In a past life, he put Cassandra in production and co-wrote cqlengine, the Python object mapper for CQL. After 2 years as an evangelist at DataStax, he is now Principal Consultant at The Last Pickle, helping customers of all size succeed with Apache Cassandra.
Elassandra: Elasticsearch as a Cassandra Secondary Index (Rémi Trouville, Vin...DataStax
Many companies use both elasticsearch and cassandra, typically in the form of logs or time series, but managing many softwares at a large scale can be quite challenging. Elassandra tightly integrates elasticsearch within cassandra as a secondary index, allowing near-realtime search with all existing elasticsearch APIs, plugins and tools like Kibana. We will present the core concepts of elassandra and explain how it draws benefit from internal cassandra features to make elasticsearch masterless, scalable with automatic resharding, more reliable and more efficient than deploying both softwares. We will also explore the bidirectional mapping : the way elasticsearch automatically creates the corresponding cassandra schema and the way elasticsearch indexes an existing cassandra table. Furthermore, we will share some use cases and benchmark results demonstrating practical use of elassandra to scale-out, re-index with zero-downtime, search and visualize data with various tools.
About the Speakers
Remi Trouville Consultant, Independant
Remi is an IT engineer who has worked for the last 8 years in the financial industry as a team manager responsible for all the call-center softwares managing the customer experience. At the end of this period, his team was dealing with 10,000+ agents with 100+ sites and some highly critical business processes such as storage of oral proof sales for transactions. He holds a Master's Degree in Telecommunication engineering and is now following an executive-MBA, in a French business school.