NoSQL database and SQL database
Big data are large sets of raw, often unstructured data. Organizations used to purge this data because it was considered low quality and storage costs were high. Now storing data is much less expensive, so companies everywhere are looking for ways to harness this information to provide better insight into customer behaviors, analyze trends, and increase revenues. The problem is how. Traditional data infrastructures can’t handle large amounts of data cost-effectively. Big data doesn’t fit neatly into relational databases making it difficult to store, manage, and analyze.
Plato BPM Services understands that big data is part of a whole solution that includes your existing data management systems. Our expert database consultants know how to build and configure your data infrastructure, so that it can manage all of your data-structured and unstructured-cost-effectively. Our extensive expertise in relational and non-relational databases combined with our experience implementing big data technologies, like Hadoop, and NoSQL technologies, like MongoDB and Cassandra, means we can help you develop a reliable solution that enables you to capture and store big data to be used and analyzed at another time. Having both relational and unstructured data experts on-board means that you will get a solution that truly fits your requirements
Hadoop is the platform of choice for Big Data analytics; however, getting started with Hadoop can be challenging. Very few companies have the required expertise to build an Hadoop production cluster and integrate it into their existing data infrastructure.
Plato BPM Services experts can help you use Hadoop for large-scale data processing and analysis. Starting from use-case discovery, we will help you figure out where Hadoop fits into your existing data infrastructure. Pythian’s unique expertise with both Hadoop and most major relational databases give us both the knowledge and the perspective to know when Hadoop is the correct solution and how to integrate it into existing enterprise data workflows.
Plato BPM Services will help you set up a proof-of-concept, showing stakeholders within the organization the advantage Hadoop brings to enterprise data processing. We will show you how to analyze data that was impractical to analyze before, or how to use Hadoop to speed up existing ETL processes. When you are ready to take the solution to production,Plato Technologies will be there to plan the cluster with you, size the capacity to accommodate future growth, integrate the cluster into existing systems and workflows, and build the necessary operational processes that a production cluster will require.
Apache Cassandra is a massively scalable NoSQL database, designed to handle real-time, big data workloads. It is a proven technology used by companies such as Netflix, eBay, and Cisco. Pythian’s experts have real-world experience deploying and managing large Cassandra clusters across multiple data centers and in the cloud. Cassandra is uniquely flexible in its data model, replication, durability, and optimization capabilities.
Plato BPM Services can help your development team get the most out of Cassandra’s options and design the best data architecture to support your business processes. Once we design the data architecture, we can run our capacity planning models to plan and deploy the production cluster. Moving from the lab to production is always an operational challenge, especially with a new type of data storage. Plato BPM Services’s team can assist in deploying, monitoring, and maintaining your new data center. Using our automated tools, adding capacity to the cluster is often just a mouse click. Our experts can help scale your production load, tune performance bottlenecks, and troubleshoot any issues you may run into with a production Cassandra cluster.
MongoDB is a scalable, high-performance, open source NoSQL database, allowing clients to improve response times, achieve higher availability, lower operational overhead, and reduce cost of ownership. It is a great technology for real-time, big data requirements.
Adopting new technologies is a challenge in any organization, and Pythian experts have the experience necessary to help fit MongoDB into your data architecture. Our highly skilled database administrators can work with your engineers and business owners to validate that MongoDB is a good fit for your requirements. We can help design a data model for your applications using MongoDB’s unique document-based, semi-structured schemas. We can run workload analysis and capacity planning models and size and plan your production cluster.
Once the planning is done and you are ready for production, we can deploy the cluster, add nodes when necessary, tune it for your workloads, monitor to avoid running the cluster over-capacity, and troubleshoot if something goes wrong. This will allow your engineers to get the best value out of MongoDB with no downtime.