The volume of both users and generated data, along with the size and diversity of data, are expected to grow continuously. Let's discuss the importance of scalability, high availability, distributing data over large clusters, load balancing, and batch and stream processing in big data projects.
Let’s take a look at the largest trends in big data for 2022: ML and automation, decision intelligence, BI tools & cloud adoption, data fabric, and more.
Marian Simpetru, Managing Partner eSolutions.ro, talked at GoTech World about the key elements you should keep in mind when preparing a big data strategy.
8 teams, 32 participants, 5 jurors, 24 hours of work. IoT, ML, various applications. Lots of work, and also tons of fun - this is how the 5th edition of the eSolutions Hackathon could be described in just a few words.
Virgil Borcea, Software Architect eSolutions.ro, was invited as a speaker last week, on the Technical Track at Big Data Week Bucharest Conference 2021.
Cristina Andries, Project Manager at eSolutions.ro, and Doru Popa, IT Manager at REGINA MARIA, The Private Healthcare Network, discussed how to streamline healthcare operations using big data at Big Data Week Bucharest Conference 2021.
Big Data Week Conference, a global benchmark event in the field of data, returns between 13 and 14 October. eSolutions and Bigstep present the conclusions, the trends, and the fundamental impact of data use in the current context.
Big data is voluminous data that originates from multiple sources and keeps on growing in size over time. Big datasets are so complex that no conventional data management software can process them efficiently.
In this article, you will find out how to deal with three errors or alerts related to the etcd component of a Kubernetes cluster: #1 in a rancher web interface - alert component etcd is unhealthy, #2 docker logs etcd - panic: freepages: failed to get all reachable pages (page 6987: multiple references), and #3 docker logs etcd - rafthttp: request cluster ID mismatch ... / rafthttp: request sent was ignored (cluster ID mismatch: ...
Almost all the online shops or content-based sites use Recommendation Systems. The purpose is to improve customer experience, but also to make all the products (content) more visible. Recommendation Systems don’t always require huge resources and lots of software tools. We will show in this article how a Collaborative Filtering Recommendation System can be built using Apache SOLR.
