So, I’ve decided to contribute an Activator Template to TypeSafe (will submit soon, promise!). Having recently become more and more involved in Elasticsearch, I saw a great opportunity to put together a neat “reactive” application combining Play & Akka with the “bonsai cool” percolation feature of Elasticsearch. Then, to put a cherry on top, use AngularJS on the client-side to create a dynamically updating UI.
What I came up with is slightly contrived – a very basic real-time log entry search tool – but I think it provides a really nice base for apps that want to integrate this bunch of technologies.
There has been intense excitement in recent years around activities labeled "data science," "big data," and "analytics." However, the lack of clarity around these terms and, particularly, around the skill sets and capabilities of their practitioners has led to inefficient communication between "data scientists" and the organizations requiring their services. This lack of clarity has frequently led to missed opportunities. To address this issue, we surveyed several hundred practitioners via the Web to explore the varieties of skills, experiences, and viewpoints in the emerging data science community.
One of the key challenges with this type of architecture is when you need to get state from the database. Clients end up polling for many real-time tracking scenarios. This presents a problem when, for example, you have 1000s of vehicles confirming state every second. Polling the database at this rate can create an overwhelming and unnecessary amount of traffic. And it doesn’t scale.
Powered by Apache Solr™, the enterprise standard for open source search, Cloudera Search integrates with the 100% open source Big Data platform, CDH, to bring scale and reliability for a new generation of search – Big Data search.
Many of you probably use BitTorrent to download your favorite ebooks, MP3s, and movies. At Etsy, we use BitTorrent in our production systems for search replication.
Search at Etsy Search at Etsy has grown significantly over the years. In January of 2009 we started using Solr for search. We used the standard master-slave configuration for our search servers with replication.
All of the changes to the search index are written to the master server. The slaves are read-only copies of master which serve production traffic. The search index is replicated by copying files from the master server to the slave servers. The slave servers poll the master server for updates, and when there are changes to the search index the slave servers will download the changes via HTTP. Our search indexes have grown from 2 GB to over 28 GB over the past 2 years, and copying the index from the master to the slave nodes became a problem.
In simple language, search theory uses advanced math to help calculate where your target may be. In recent years, the discipline has been revitalized to help hunt insurgents, missile sites and improvised explosive devices. Now the Pentagon is exploring whether it can help sort and simplify the massive volumes of data compiled by modern ISR sensors.
Random forest is a highly versatile machine learning method with numerous applications ranging from marketing to healthcare and insurance. It can be used to model the impact of marketing on customer acquisition, retention, and churn or to predict disease risk and susceptibility in patients.
Random forest is a capable of regression and classification. It can handle a large number of features, and it's helpful for estimating which or your variables are important in the underlying data being modeled.
More and more frequently we see organizations make the mistake of mixing and confusing team roles on a data science or "big data" project - resulting in over-allocation of responsibilities assigned to data scientists. For example, data scientists are often tasked with the role of data engineer leading to a misallocation of human capital. Here the data scientist wastes precious time and energy finding, organizing, cleaning, sorting and moving data. The solution is adding data engineers, among others, to the data science team.
Today Apache Lucene and Solr PMC announced the release of 4.0 alpha version of Apache Lucene library and Apache Solr search server. When comparing to the 3.6 there were some major changes introduced about which ...
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
How to integrate my topics' content to my website?
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Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.