We conducted secondary research, which serves as a comprehensive overview of how companies use big data. Here, you’ll find the facts arranged by organization size, industry and technology. You’ll also discover real-life examples and the value that big data can bring.
Similar at first glance, Cassandra and HBase actually are quite different in terms of architecture, performance and data models. What are these differences and how do they influence the tasks that HBase and Cassandra perform? It’s all here.
Rumor has it: Apache Cassandra performance is amazing. But are there any grounds for these talks? Should you immediately fall in love with Cassandra because ‘she’ is so cool or should you just stay friends? Make the decision here.
ScienceSoft knows how to implement Hadoop smoothly and shares some practical tips to guide you through this process. Our consultants highlighted important milestones that are also biggest challenges on your way to success.
ScienceSoft answers burning questions about big data lake design and implementation. We look at different approaches to its architecture and contemplate if there exists a preferred technology among the available stack.
Sensor data analytics has the potential to turn your manufacturing enterprise into a competitive business. To achieve that, first read this article and learn sensor analytics essentials.
You’ve read a lot about big data in manufacturing, but there’s nothing on how to start? Check out this guide and see how you can join big data’s fan club.
We look at the specifics of IoT big data, as well as describe what important things you should consider prior to designing and implementing IoT data storage and analysis.
If you want to know if big data is really useful in manufacturing, see these 12 real-life use cases of big data in manufacturing and judge for yourself.
When it comes to data quality, big data can be somewhat deceptive. See what exactly quality big data is, how you can get it and what cacao has to do with all this.