Keeping the Uber platform reliable and real-time across our global markets is a 24/7 business. People may be going to sleep in San Francisco, but in Paris they’re getting ready for work, requesting rides from Uber driver-partners. At that same …
The post DBEvents: A Standardized Framework for Efficiently Ingesting Data into Uber’s Apache Hadoop Data Lake appeared first on Uber Engineering Blog.
“I think the biggest challenge is that in the rail business we have a very large set of old and country specific regulations that date back many decades. These regulations are meant to protect passengers, but some of them are not anymore fitting to the modern capabilities of technology and instead drive cost and slow innovation down dramatically.” –Gerhard Kress
Artificial intelligence acts as an enabler for many innovations
in the rail industry.
In this interview, I have spoken with Gerhard
Kress, who is heading Data Services globally for the
Rail business, and is responsible for the
Railigent ® solution at Siemens. We
discussed innovation and the use of AI and Data-driven
technologies in the transport sector, and specifically how the
Siemens´ Railigent solution is implemented.
Railigent is cloud based, designed to help rail operators and rail asset …
[Read more]VMware Continuent 5.0 is a complete data replication solution that includes all the functionality you need at one low price. In this webinar-on-demand, you’ll see how VMware Continuent delivers: Migration. Replicate from an old version of Oracle, often running on non-Linux platform (Windows, AIX, HP-UX, Solaris), to a new version of Oracle (often running in Linux). VMware Continuent supports
Database replication is vital enterprise technology but is dominated by inflexible, high-cost incumbents, especially in the case of Oracle. This webinar-on-demand introduces VMware Continuent replication and shows how it solves database replication problems in environments from bare metal to clouds.
We introduce exciting new Oracle replication improvements that allow users to apply VMware
Practical tips and a live demo of how to get your data warehouse loading projects off the ground quickly and efficiently when replicating from MySQL and Oracle into Amazon Redshift, HP Vertica and Hadoop.
Webinar-on-demand. Recorded 07/23/15.
Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem. VMware Continuent provides
A few months ago I updated my profile on LinkedIN, and adjusted my position as CTO and
founder of Athoa Ltd, a British company currently active for
translation services and events that in the past hosted a couple
of interesting open source projects. I simply forgot to disable
the email notification to my connections, set by default, and in
2-3 hours I received tens of messages from friends and
ex-colleagues who were curious to hear about my new
adventure.
Today, I changed my profile on LinkedIN again and have left the
email notification set on purpose.
As of today, I join the team at ScaleDB. My role is to define the product and
the strategy for the company, working closely with CEO Tom Arthur, CTO …
Analyzing transactional data is becoming increasingly common, especially as the data sizes and complexity increase and transactional stores are no longer to keep pace with the ever-increasing storage. Although there are many techniques available for loading data, getting effective data in real-time into your data warehouse store is a more difficult problem.In this webinar-on-demand we showcase
In my previous post about Hadoop and Impala I benchmarked performance of analytical queries in Impala.
This time I’ve tried InfiniDB for Hadoop (open-source version) on the modern hardware with an 8-node Hadoop cluster. One of the main advantages (at least for me) of InifiniDB for Hadoop is that it stores the data inside the Hadoop cluster but uses the MySQL server to execute queries. This allows for an easy “migration” of existing analytical tools. The results are quite interesting and promising.
Quick How-To
The InfiniDB documentation is not very clear on step-by-step instructions so I’ve created this quick guide:
Oracle is the most powerful DBMS in the world. However, Oracle's expensive and complex replication makes it difficult to build highly available applications or move data in real-time to data warehouses and popular databases like MySQL. In this webinar-on-demand you will learn how Continuent Tungsten solves problems with Oracle replication at a fraction of the cost of other solutions and with less