“Many business folks are still wondering about the role and benefits that DevOps automation can provide to big data. If you are also one of these, then this blog has all your answers. Get all your queries sorted here.”
Big Data is a buzzword in the tech world. This technology leads the big projects of enterprises, and now DevOps automation is giving fuel to the tremendous contribution of Big Data in the industries. As you know, there always are ways of increasing efficiency, and that’s what DevOps do for Big Data.
These two technologies are unitedly powering business strategies and boosting their growth. Even the top business, like Amazon and Netflix, are leveraging these technologies due to its astounding benefits.
If we look at the stats, you can identify their role and importance better. As in 2019, many industries have leveraged these technologies where the Banking sector itself produced almost 13.9 percent of Big Data revenues. At the same time, the expected DevOps revenue is 17 billion USD, with a CAGR of 20% by 2026.
From the above number, you can have an idea about its supremacy in the market. But you might be pondering what these technologies are exactly and how DevOps automation solutions can benefit Big Data.
If all such questions are running in your mind, then this blog has all your answers. Here, you will know everything about these technologies and your main problem, i.e. “How Big Data Can Leverage DevOps Automation Solution?”
Here we will discuss:
So, let’s dig in and get all your answers.
Big data means large and complex data collections from different sources. Their complexity and volume are so immense that traditional data software can't handle them. In comparison, such data can resolve those business tasks that are not possible with the standard data.
Dealing with Big Data includes obtaining data and storing, sharing, analysing, understanding, visualising, transforming, and testing to provide the required business value. In short－ Big Data includes structured and unstructured data that every business deals with regularly.
DevOps is a set of practices, culture, and methodology that intends to facilitate and improve the communication & collaboration between development and operations teams. It concentrates on automating and streamlining processes within the project’s development life cycle.
DevOps' important pillars are shorter development cycles, increased deployment frequency, rapid releases, parallel work of different experts, and regular customer feedback. Additionally, the quality, speed, and reliability of the software also significantly get increased with DevOps.
Automation is an essential requirement for DevOps practices and automates everything. It is a fundamental practice of DevOps and begins from the code generation on the developer's machine until the code is pushed to the code and monitors the application plus system in the production. The automating infrastructure set up, configurations, and software deployment is an essential highlight of DevOps practice.
DevOps practice id is dependent on automation for making deliveries over a few hours plus frequent deliveries across platforms. Automation in the DevOps encapsulates everything right from the development, deployment, and monitoring.
Now Let’s Know the Reasons How This Devops Automation Solution Benefits Big Data
Big data companies always need stable, manageable, and sophisticated environments—the team of multiple developers and operators needs to work on the same project. And, from here, the role of DevOps automation begins. It can provide organizations with a more collaborative environment.
DevOps offers additional agility and flexibility that helps the business to find more instant business opportunities. When you are building large and new complex products, it helps you in the full software development cycle. And these solutions are provided by the DevOps solution providers; they can accurately plan, develop, test, and create a new product in a better and reliable way.
Here, a system should have the capability to adapt to the changes when you present it with new data. AI algorithms play a vital role in modifying their operations to meet the organization's goals and objectives. It can quickly bring more insights, trends, and patterns for businesses for efficient operations.
2. Streamlining Operational Procedures
Today Big Data has sizes around 250 bytes or even one thousand million data pieces. Thus DevOps automation here becomes the primary criterion for organizations to reduce mundane tasks. DevOps automation here incorporates streamlined workflows and helps professionals accelerate the speed to get more structured data from the unorganized data. Similarly, different testing processes are also automated to detect bugs and issues for immediately fixing.
The overall focus should be on streamlining the complete software development lifecycle (SDLC) process. Because slow results can affect the company’s progress while too fast results are more likely to have bugs. So, striking out the balance between speed and quality is essential.
This DevOps automation is more helpful in developing new products to get optimized results. The continuous delivery of new products is quite complicated because fast results are demanded with no quality compromises. Thus DevOps automation can improve the overall productivity and help you achieve better quality results without compromising on the quality factor.
Undoubtedly, Big Data projects are enormous, making it impossible for single businesses to cover all the project's essential aspects. And one of the key challenges here is organising the hundreds of professionals working remotely to help enterprises get more actionable insights.
Herewith DevOps automation can group these vast amounts of information for developing strategic plans and step into the future by prioritizing the crucial factors for success and upward growth.
So, working in this collaborative environment is comfortable and more profitable with DevOps automation. Many platforms offer this transparent and accessible environment for big data management, such as JFrog with artefact repository that combines cloud and on-premises infrastructure.
4. Uncover Bottlenecks and Their Solutions
In Big Data management, different companies face different problems that impact their performance. With DevOps automation, you can discover these bottlenecks and build solutions to refine the process for more productivity. If you are looking for cost-effective solutions then you can better hire developers in India to refine your process efficiently.
DevOps services concentrate on collaborating with each team member and streamline the mundane tasks efficiently to pave the path for fast development and pinpoint the success factors for optimized results. Big Data teams offer many actionable insights for businesses that they can use in planning their strategies.
The critical point in this DevOps success lies with continuous monitoring and improvement. The system is always looking for improved results from the current situation and further smooths the business operations in bringing more profitable outcomes.
DevOps can seamlessly build data transparency by following security protocols and promoting the data locally near the team. With DevOps, companies can develop a centralized collaboration environment, filling the gap between the developers, project managers, security, and IT operators. This transparent DevOps process brings more productivity and drives innovation for continuous growth.
With the vast data amount coming from the IoT devices' interconnectivity, businesses should be more adaptable to handle various data streams simultaneously. DevOps automation expedites organizations' path to understand unstructured data efficiently and discover hidden patterns that refine the development cycle by self-assessing further.
Every organisation looks for uniformity and a particular level of quality control in their process, and that's their biggest challenge in maintaining such consistency throughout the whole cycle. As thousands of professionals are working together on the same project, several variable practices can bring inconsistencies.
With DevOps automation, companies can follow and implement uniform measures across complex projects to achieve better productivity. Here consistency is crucial to drop the error percentage in business operations, thus keep delivering at a higher potential.
The large DevOps team that maintains extensive massive IT infrastructure are divided into six categories, where specific DevOps automation tools are used, and these are:
DevOps automation is an essential factor in handling Big Data projects as the companies face various challenges in managing the multiple teams, continuous releases, remote collaboration, and maintaining optimum performance. Though the whole process sounds easy, in real-time, it contains many complexities, as big data needs regular improvisation in the entire software development cycle.
Companies always want smart solutions, and DevOps Automation has everything to take their business boat to its shores successfully. The above benefits highlight the reason why companies should follow the DevOps process and automation. Be it building a systematic platform or streamlining the operational process, you can get better quality results by leveraging the DevOps Automation in your Big Data project.
Professionals nowadays are continuously looking for more optimized solutions due to the vast market demand for Big Data and data analysis.