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Enhance your Business with
Big Data Analytics Services
Gathering immense data sets is the first step toward a data-driven strategy. After that, you need to capitalize on them through an in-depth analysis of the structured and unstructured data you’ve collected. That’s what will allow you to boost your business with big data. Naturally, you can only get that from cutting-edge Big Data Analytics Services – such as the ones we offer at BairesDev.Â
Empower your business processes with data with the help of our Big Data services and access quick insights on operations, customers, and products. We excel on predictive analytics, real-time dashboards, master data management, and more. Data-driven strategies are a core element of all our IT outsourcing services.
Our Big Data specialists are highly skilled, experienced in diverse data projects across multiple industries. We only work with the Top 1% IT Talent to guarantee the best results for our clients.
Projects We Developed For Our Clients
Data Science Services
Business Intelligence & Analytics
We can help you to significantly increase the effectiveness and capabilities of your BI (Business Intelligence) reporting. Whether this involves minimizing IT support costs or creating interactive reports with deeper competitive insights, meaningful dashboards, and scorecards, you will see an improvement in user experience and give more power to business users.
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Enterprise Data Warehousing
Our enterprise data warehousing service provides your business with data for consolidated views across your company and visibility across business units. With our years of knowledge and experience, we always strive to eliminate all risks associated with new technology adoption.
2
Big Data
By addressing common Big Data technology challenges, such as scalability, performance, extensibility, and availability, we can help you achieve new opportunities for your business. We rely on proven architecture approaches (such as Lambda Architecture and Microservices) combined with the most suitable cost-effective technologies.
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Data Science
Our Data Science group is focused on solving problems and finding hidden patterns, in both structured and a wide variety of unstructured types of data (such as social media content, textual data, images, audio and video streaming). In addition, our group also provides distributed and significantly parallel Big Data and Stream processing solutions, as well as high-performance GPU-accelerated computing concepts.
4
Data Integration & Processing
Cross-system data integration and consolidation are the most common challenges that organizations face when they implement enterprise-level information systems. Using event processing, extensive parallel processing, and data distribution, we enable data consolidation from various sources including CRM, ERP, and other enterprise systems.
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Big Data Developers
What is a Big Data Developer?
The Big Data developer is the one responsible for the actual coding of the applications that will handle and empower the analysis of all the collected data. An integral part of a data-driven business strategy, the big data developer must plan, design, install and set up the applications, as well as provide maintenance and keep security and data privacy. In other words, it’s up to the big data developers to code the scalable and high-performing solutions that will be used for data analysis.
Big Data Developer Skills
There are several skills required to work successfully as a big data developer that you must keep an eye out for if you’re looking to hire big data developers. A big data developer must be seasoned in programming languages such as Java, Python, R, JavaScript, and NodeJS, as well as in SQL and NoSQL-based technologies, and Hadoop-based technologies. They also need to demonstrate knowledge of machine learning algorithms, tools like Tableau and QlikView, and of different data mining tools.
Big Data Developer vs Data Scientist
As we have already seen, the big data developer is the software engineer responsible for designing, building, and maintaining the pipelines that will use all of the data collected for the analysis and insight generation processes. Data science, however, is a complex field to which other professionals contribute with their unique set of skills.
The Data Scientist, on the other hand, is the one responsible for looking at all the data and, using the programs and features coded by the big data developer, carry out the analysis process to understand the context in detail and gather the insight that will drive the business decisions.
Big Data's 5 V's
Get ready. We're here to drive your digital transformation and take it to the next level.
Software used for Big Data & Analytics
Apache Hadoop
Apache Hadoop is a Java-based free software framework that can effectively store large amounts of data in a cluster.
Microsoft HDInsight
It is a Big Data solution from Microsoft powered by Apache Hadoop which is available as a service in the cloud.
NoSQL
NoSQL databases store unstructured data with no particular schema.
Hive
A distributed data management system for Hadoop mainly used for data mining purposes. This runs on top of Hadoop.
Sqoop
This can be effectively used to transfer structured data to Hadoop or Hive.
PolyBase
This works on top of SQL Server 2012 Parallel Data Warehouse (PDW) and is used to access data stored in PDW.
Big Data in Excel
As many people are comfortable doing analysis in Excel, you can also connect data stored in Hadoop using Excel 2013.
Presto
It is built to handle petabytes of data.
Hadoop in Big Data
Hadoop is an open-source framework used to store and process massive amounts of data and run applications using clusters of multiple pieces of hardware. This distributed computing model means incredible computing power, multiplying the processing capabilities depending on the number of computing nodes used. As a software library architecture, Hadoop is also highly versatile and accessible with a low cost of entry.
The framework consists of 4 modules that oversee different aspects of the data computing process: Hadoop Distributed File System (HDFS), Yet Another Resource Negotiator (YARN), MapReduce, and Hadoop Common. Given its high scalability powers, Hadoop is commonly used for big data analysis and for processing large chunks of information in parallel with other tasks.Â
Naturally, there are challenges when it comes to using Hadoop, ranging from a lack of easy-to-use data management tools to MapReduce’s inefficiency when handling iterative processes. The most pressing issue, however, is a flagrant lack of available talent with knowledge of Hadoop’s intricacies and who display, at the same time, the sufficient level of Java skills to effectively use MapReduce and knowledge of operating systems, hardware, and Hadoop kernel.
Big Data & Analytics Advantages
- Find the most effective way to do business (more efficient operations, increased profits, satisfied customers).
- Agile & better decision making.Â
- The possibility to analyze customer needs and satisfaction through analytics facilitates the development of new products and services.
Guide your Big Data Implementation
with Big Data Consulting
Embracing Big Data can be a challenging feat. You have to develop the right tools, devise a proper workflow, train the staff, and ensure maximum collaboration, among other things. All of that comes out of a comprehensive strategy you have to define before going for the implementation itself. That’s why we offer you our Big Data Consulting Services.
Our Top 1% Big Data Experts will help you define the better approach to data collection and analysis. You can consult with us to devise the best process for data storage and analysis. Through our Big Data Consulting Services, you can rest assured that you’ll be able to capture large volumes of raw data and turn them into insights to fuel your decision making.
Ready to build your software?
At BairesDev we can develop your product from start to finish, or handle individual segments of the process for you. We offer world-class software product development services from requirements and systems analysis, architecture and design to development, testing, migration, and deployment.
Clients' Experiences
