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.
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.
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.
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.
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.
Apache Hadoop is a Java-based free software framework that can effectively store large amounts of data in a cluster.
It is a Big Data solution from Microsoft powered by Apache Hadoop which is available as a service in the cloud.
NoSQL databases store unstructured data with no particular schema.
A distributed data management system for Hadoop mainly used for data mining purposes. This runs on top of Hadoop.
This can be effectively used to transfer structured data to Hadoop or Hive.
This works on top of SQL Server 2012 Parallel Data Warehouse (PDW) and is used to access data stored in PDW.
As many people are comfortable doing analysis in Excel, you can also connect data stored in Hadoop using Excel 2013.
It is built to handle petabytes of 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.
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.
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.
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.
