Being a data-driven company is the call of the hour in today’s times. However, it is easier said than done because “big data” has huge volumes. Consequently, it sometimes becomes difficult to extract critical information out of such oceanic volumes of data and make truly informed decisions.
Nowadays the businesses have an easy access to data with the exponential growth of emerging digital Big Data Offering technologies. This poses a challenge to manage the burgeoning volume of data every day. However, our Big Data solutions and services help you handle the data well despite the size as well as allow you to re-imagine your business through our focused research.
With great expertise in the domain, our professionals offer advice around developing big data consulting services, comprising of building use cases, preparing staff, standing out among competitors and uncovering opportunities. Our experts in Big Data offer architectural consultancy, Capacity planning for quicker time-to-market, while we also develop MAP Reduce Code, Custom Code and Data integration Services using proven components of the Big Data ecosystem.
Batch Processing in the arena of Big Data is a brilliant way to process high volumes of data, where a group of transactions is collected over a period of time. Batch processing system has access to all data and it might be able to compute something that’s big and complex. Generally this system is more concerned with throughput instead of latency of individual components of the computation as well as it has latency measured in minutes or more.
Stats say major number of organizations uses batch data processing, however there are times when an organization requires real time data processing as well. Real time data processing enables an organization to take immediate action for those times when it’s requisite to act within seconds or minutes. The motive here is obtaining the insight necessary to act wisely at the right time – which increasingly means instantaneously.
This feature is useful in populating chat, collaborating and machine configuration on app load. It stores message streams with real-time data management and retrieves historical data streams to serve the purpose for reporting, auditing and compliance. You can also replay live events with realtime data delivery during rebroadcasting as well as confine storage to EU points of presence ensuring privacy & legal compliance.
Nowadays it’s not just enough to perform historical analysis and batch reports, as there are times when situation arises when you are required to make well-informed decisions in real-time, the data and insights need to be timely and immediately actionable. Real time Data Analytics allows you to easily integrate with almost any data source, both live/in-motion as well as bulk/at rest.
These are alert-like messages on a smartphone that are displayed when the app is not being used actively. Also called a mobile push message, these appear as a pop-up badge, sound or banner. These messages are aimed to draw the attention of users as well as to get the user to dive back into the app. You get them on iOS, Android, and other major platforms.
Real time Data streaming allows big data to become all the more effective, with the benefits going beyond more efficient business operations. It ensures improved e-Commerce, faster analysis of mobile apps data, system monitoring for efficiency and a lot more. It enables businesses to keep track of the actions of their customers, mainly as they visit a website. Meanwhile, the need for real time data streaming will go up as the Internet of Things (IoT) gets prominent.
These Real Time Chart & Dashboards allow Data to be visualized in real time. You simply need to point your chart to a data source, set a refresh rate and start monitoring your data in real time. We allow you to create a data analytics dashboard with just a single chart and then add to it as required. You can quickly build, edit, filter, and delete dashboards; move and resize them; and then share them or integrate them within your web application.
This technique used by Octal is helpful in analyzing big data sets at even petabyte scale. Off-line batch data processing is usually full power & full scale, tackling arbitrary BI use cases, whereas real-time stream processing is executed on the most current slice of data for data profiling to pick outliers etc.
This analysis is completed with the software tools commonly used as part of advanced analytics disciplines such as predictive analytics, data mining, text analytics and statistical analysis. Technologies like Hadoop and related tools such as YARN, MapReduce, Spark, Hive and Pig as well as NoSQL databases are used by our experts.
The app was successfully launched and fulfilled original expectations. The Pear System team was communicative and effective in completing the project. The app is available in the Google Play store and Apple Store and we’re thrilled with the final product. They were a highly efficient team to work with. They were strong communicators—whenever I had an issue they were available. Additionally, they were timely in getting deliverables to us.Dato' Dr. Jay Ho
The Pear System team were great to work with. Every part of the process went as per the agreed schedule, and the finished prototype met, and in most cases, exceeded my expectations. While Pear system wasn't the most price competitive of the quotes I received, the quality of their work, professionalism, and product, was well worth the additional cost. Highly recommend, and will continue to use their services for future projects.Glenn Graham
Pear System is a fantastic team of Mobile App Development and can be compared to any development company all over the world. They have done many projects for me and the quality of the work is outstanding. I would recommend them to anyone..Lester Tan