Kada naše tete izmisle priču, a mi s mamama ( i TATAMA! ) tu priču nacrtamo- ILUSTRIRAMO, nastane slikovnica "Zaljubljivi ždrijebac". Baš na VALENTINOVO!
The document is about a mischievous young longneck dinosaur. He gets lost in the forest while looking for leaves and is captured by a angry lizard. His father rescues him from the dark cave where he was being guarded. On the way home, the young dinosaur wanders off again and is attacked by a flying dinosaur, but his father scares it away. His father punishes him by making him stay in his room all day. The young dinosaur apologizes and promises not to wander off anymore, and they continue playing together.
Totara Learning Solutions - Totara: The Story So Far & the Next ChapterKineo
Andy Kirk, Channel Partner Manager for TLS, discusses the progress of Totara LMS, and looks forward to continued innovations and progress with features in the roadmap.
[WEBINAR] Make Blended Learning Work for Sales TrainingKineo
We expect a lot out of our sales teams. It’s crucial that they perform at optimal levels. Pipelines are directly impacted by what they do and don’t do. Ineffective and effective, sales teams impact the bottom line. So shouldn’t we nurture our sales teams as much as the leads that flood in? Absolutely.
In this 30-minute webinar, Make Blended Learning Work for Sales Teams, Cammy Bean, Kineo US VP of Learning Design, and Chip Cleary, VP of Solutions & Consulting share tips and insights for designing a blended program for sales teams.
Data Modelers Still Have Jobs: Adjusting for the NoSQL EnvironmentDataStax
The document discusses how relational database management systems and relational modeling have dominated in the past but are declining with the rise of NoSQL databases. It argues that data modelers can save their careers by returning to focus on conceptual modeling rather than assuming relational modeling. Conceptual modeling involves communicating with users to understand entities, attributes, and relationships without implementation details. This will help data modelers choose the appropriate logical data model and adapt to changes in technologies.
Kada naše tete izmisle priču, a mi s mamama ( i TATAMA! ) tu priču nacrtamo- ILUSTRIRAMO, nastane slikovnica "Zaljubljivi ždrijebac". Baš na VALENTINOVO!
The document is about a mischievous young longneck dinosaur. He gets lost in the forest while looking for leaves and is captured by a angry lizard. His father rescues him from the dark cave where he was being guarded. On the way home, the young dinosaur wanders off again and is attacked by a flying dinosaur, but his father scares it away. His father punishes him by making him stay in his room all day. The young dinosaur apologizes and promises not to wander off anymore, and they continue playing together.
Totara Learning Solutions - Totara: The Story So Far & the Next ChapterKineo
Andy Kirk, Channel Partner Manager for TLS, discusses the progress of Totara LMS, and looks forward to continued innovations and progress with features in the roadmap.
[WEBINAR] Make Blended Learning Work for Sales TrainingKineo
We expect a lot out of our sales teams. It’s crucial that they perform at optimal levels. Pipelines are directly impacted by what they do and don’t do. Ineffective and effective, sales teams impact the bottom line. So shouldn’t we nurture our sales teams as much as the leads that flood in? Absolutely.
In this 30-minute webinar, Make Blended Learning Work for Sales Teams, Cammy Bean, Kineo US VP of Learning Design, and Chip Cleary, VP of Solutions & Consulting share tips and insights for designing a blended program for sales teams.
Data Modelers Still Have Jobs: Adjusting for the NoSQL EnvironmentDataStax
The document discusses how relational database management systems and relational modeling have dominated in the past but are declining with the rise of NoSQL databases. It argues that data modelers can save their careers by returning to focus on conceptual modeling rather than assuming relational modeling. Conceptual modeling involves communicating with users to understand entities, attributes, and relationships without implementation details. This will help data modelers choose the appropriate logical data model and adapt to changes in technologies.
DataStax & 451 Group Webinar - Real NoSQL Applications in the Enterprise TodayDataStax
This document provides an overview of a webinar on Real NoSQL Applications in the Enterprise Today featuring presentations by Matt Aslett from 451 Research and Jonathan Ellis from DataStax. The webinar discusses NoSQL, NewSQL and related technologies, use cases for these databases in enterprises, and examples of Apache Cassandra implementations.
How much money do you lose every time your ecommerce site goes down?DataStax
In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation engines.
In this webinar, you’ll learn how to:
-Get uptime, all the time, so you can serve your customers without outages
-Ingest huge velocities of data from anywhere
-Maximize mobile, online and cloud applications with the security your customers expect
-Identify patterns between formerly silo’d data, even text and call logs
-Get the search & insight you need without performance hits
This presentation provides an overview of DataStax Enterprise, which is a smart data platform built on Apache Cassandra that manages both real-time and analytic data in the same database cluster.
t’s Never Too Early: How, When, and Why Consultancy Adds Value to Strategic L...Kineo
Most learning technology projects involve a lot more than design and delivery. They start way back with strategic analysis, and keep going all the way through to campaign and evaluation. That shouldn’t be the job of the client to work on alone. Effective learning partners provide consultancy to support clients along the way and fostering that relationship is critical. Nina Brebner shares her and TUI Travel's experiences with consultancy.
Blends That Work For Learners Today, and Tomorrow.... | Learning Technologies...Kineo
Blended Learning - the words aren’t new but its meaning keeps evolving. Every year brings new potential in blend design, and a renewed need for best practice. So what really works? Mark Harrison from City & Guilds Kineo shares his thinking.
Cassandra Community Webinar | The World's Next Top Data ModelDataStax
You know you need Cassandra for it's uptime and scaling, but what about that data model? Let's bridge that gap and get you building your game changing app. We'll break down topics like storing objects and indexing for fast retrieval. You will see by understanding a few things about Cassandra internals, you can put your data model in the spotlight. The goal of this talk is to get you comfortable working with data in Cassandra throughout the application lifecycle. What are you waiting for? The cameras are waiting!
C*ollege Credit: What's New in Apache Cassandra 1.2DataStax
Cassandra 1.2 introduced several new features including:
- Concurrent schema changes and virtual nodes to improve scalability and performance.
- "Fat node" support and JBOD improvements for easier storage expansion.
- Faster compaction with off-heap bloom filters and compression metadata.
- Atomic batches for distributed transactions across data centers.
- Enhancements to the CQL query language including collections and a data dictionary.
- Request tracing for troubleshooting distributed queries.
Apache Cassandra is a massively scalable, highly available NoSQL database that provides continuous availability without compromising performance. It handles big data workloads across multiple data centers with no single point of failure and allows for fast, linear scalability as well as elasticity. Cassandra offers tunable data consistency, location independence for reading and writing data anywhere, and a familiar SQL-like language called CQL.
Understanding Data Consistency in Apache CassandraDataStax
This document provides an overview of data consistency in Apache Cassandra. It discusses how Cassandra writes data to commit logs and memtables before flushing to SSTables. It also reviews the CAP theorem and how Cassandra offers tunable consistency levels for both reads and writes. Strategies for choosing consistency levels for writes, such as ANY, ONE, QUORUM, and ALL are presented. The document also covers read repair and hinted handoffs in Cassandra. Examples of CQL queries with different consistency levels are given and information on where to download Cassandra is provided at the end.
DataStax & 451 Group Webinar - Real NoSQL Applications in the Enterprise TodayDataStax
This document provides an overview of a webinar on Real NoSQL Applications in the Enterprise Today featuring presentations by Matt Aslett from 451 Research and Jonathan Ellis from DataStax. The webinar discusses NoSQL, NewSQL and related technologies, use cases for these databases in enterprises, and examples of Apache Cassandra implementations.
How much money do you lose every time your ecommerce site goes down?DataStax
In today’s environment, you must serve your customers with uptime (all the time) availability, plus hidden benefits like state-of-the-art fraud detection and game-changing recommendation engines.
In this webinar, you’ll learn how to:
-Get uptime, all the time, so you can serve your customers without outages
-Ingest huge velocities of data from anywhere
-Maximize mobile, online and cloud applications with the security your customers expect
-Identify patterns between formerly silo’d data, even text and call logs
-Get the search & insight you need without performance hits
This presentation provides an overview of DataStax Enterprise, which is a smart data platform built on Apache Cassandra that manages both real-time and analytic data in the same database cluster.
t’s Never Too Early: How, When, and Why Consultancy Adds Value to Strategic L...Kineo
Most learning technology projects involve a lot more than design and delivery. They start way back with strategic analysis, and keep going all the way through to campaign and evaluation. That shouldn’t be the job of the client to work on alone. Effective learning partners provide consultancy to support clients along the way and fostering that relationship is critical. Nina Brebner shares her and TUI Travel's experiences with consultancy.
Blends That Work For Learners Today, and Tomorrow.... | Learning Technologies...Kineo
Blended Learning - the words aren’t new but its meaning keeps evolving. Every year brings new potential in blend design, and a renewed need for best practice. So what really works? Mark Harrison from City & Guilds Kineo shares his thinking.
Cassandra Community Webinar | The World's Next Top Data ModelDataStax
You know you need Cassandra for it's uptime and scaling, but what about that data model? Let's bridge that gap and get you building your game changing app. We'll break down topics like storing objects and indexing for fast retrieval. You will see by understanding a few things about Cassandra internals, you can put your data model in the spotlight. The goal of this talk is to get you comfortable working with data in Cassandra throughout the application lifecycle. What are you waiting for? The cameras are waiting!
C*ollege Credit: What's New in Apache Cassandra 1.2DataStax
Cassandra 1.2 introduced several new features including:
- Concurrent schema changes and virtual nodes to improve scalability and performance.
- "Fat node" support and JBOD improvements for easier storage expansion.
- Faster compaction with off-heap bloom filters and compression metadata.
- Atomic batches for distributed transactions across data centers.
- Enhancements to the CQL query language including collections and a data dictionary.
- Request tracing for troubleshooting distributed queries.
Apache Cassandra is a massively scalable, highly available NoSQL database that provides continuous availability without compromising performance. It handles big data workloads across multiple data centers with no single point of failure and allows for fast, linear scalability as well as elasticity. Cassandra offers tunable data consistency, location independence for reading and writing data anywhere, and a familiar SQL-like language called CQL.
Understanding Data Consistency in Apache CassandraDataStax
This document provides an overview of data consistency in Apache Cassandra. It discusses how Cassandra writes data to commit logs and memtables before flushing to SSTables. It also reviews the CAP theorem and how Cassandra offers tunable consistency levels for both reads and writes. Strategies for choosing consistency levels for writes, such as ANY, ONE, QUORUM, and ALL are presented. The document also covers read repair and hinted handoffs in Cassandra. Examples of CQL queries with different consistency levels are given and information on where to download Cassandra is provided at the end.