Deriving actionable insights from Big Data to facilitate business decision-making in real time is what delivers the greatest value for companies. While many companies have achieved the basics in terms of data management and analytics, fewer have been able to put the processes and tools in place for utilizing analytics to elevate the value delivered to customers and inform their digital transformation initiatives.
Further complicating their efforts is some confusion over necessary roles and responsibilities. Companies have invested in hiring Data Scientists only to find that there still gaps that can only be filled with Big Data Engineers. Big Data Engineers prepare the “big data” infrastructure, make sure data is easily accessible, and optimize the performance of the big data ecosystem. The primary function of a Data Scientist is to analyze the integrated data and identify the valuable and actionable insights.
The Big Data Engineering team at First Line Software has accumulated extensive experience and expertise in managing data on a physical infrastructure level. We have also built up a team of highly trained experts who analyze the relevant data and draw value from it. Our Big Data Engineering team helps companies stay ahead of the curve.
The First Line business model is similar to the data-as-a-service model. Think Big-Data-as-a-Service - BDaaS. Adopting this model relieves companies of the upfront costs associated with managing large quantities of data and building up a team that possesses the necessary expertise to operationalize Big Data and convert it into a business asset.
First Line has produced a number of heavy-load processing systems and data storage solutions associated with Big Data initiatives.
We designed an online financial system to collect and analyze data from retail sales transactions processed through point of sale (POS) terminals. Acceptance of point-of-sale transactions is performed by a server cluster, which stores data in a server cluster based on Redis. After that the data is transferred securely to a PostgreSql database. The peak load is 60,000 transactions per second and the rated storage capacity for 4 years is 800 billion records.
The most popular stack of technologies were used to solve the customer’s data challenges and execute on tasks in Big Data processing and analysis:
If your company is ready to embark on a Big Data initiative and you need to rely on experts to get the job done, please contact us today for a free consultation and project estimate.