Data is increasingly important to organizations, providing decision makers with the insights necessary to make better decisions. But with more ways of generating data than ever before, data collection, storage, and analysis can quickly become overwhelming. That’s why you need the help of big data developers, who can design, build, and optimize the products you need to make your data science project a success.
Our software development team specializes in understanding engineering with the right big data software tools so you can collate, interpret and optimize your data gathering, management and interpretation.
Most important is improving your ability to make critical business decisions in a timely manner. This and more is available to you with the help of our software development team.
Big Data Software Development Services
- Data architecture analysis
- Cleaning and processing data
- Transforming data into different formats
- Big data model development
- Data pipeline development
- Big data analysis consulting
- Big data software design and development
What Is Big Data?
Big data is a general term for any enormous quantity of data. Data sets can eventually become so large, or so complex, that traditional data processing applications simply can’t handle them. They require a much more advanced system, capable of accurate data capturing, secure data storage, sophisticated data analysis, and further features like data visualization and methods of sharing and transferring information.
These days, big data analytics are used by a wide variety of organizations, to solve a number of different problems.
Despite its practically unlimited potential, big data presents a number of challenges to organizations:
- How can you collect data consistently and accurately?
How can you ensure the security and integrity of your data? - How can you analyze and visualize your most complex data sets?
- How can you turn big data into actionable insights?
Big data software development partners can help you answer these questions and solve some of your biggest data-driven paint points.
What to Look For in a Big Data Software Developer
There are many different big data software developers and consultants willing to help you with your project,
but if you want to make the best choice for your organization, you’ll need to consider the following when hiring a dev team
Experience
How long have the particular software development team been working in the big data field? What kind of experts are on their team? What type of software development projects have they completed in the past?
Range of familiarity
Is your software developer familiar with custom big data technologies as well as existing "table stake" solutions on the market that will be required for your custom project?
Attentiveness to actionability
Big data and the insights your analytics produce are only as useful as their actionability. Your big data developer should work with you to make sure your systems support decisions and actions, based on your big data conclusions.
Our Big Data Development Process
At DEV.co, we work with you to build, acquire, or integrate the perfect big data technologies and solutions for your business.
To accomplish this, we follow a consistent process for custom software development
Introduction and needs assessment
First, we get to know your organization, including your data-specific pain points and your goals for the future. Your dedicated team of dev experts should know as much about your business as you do.
Collaborative brainstorming
Next, we work with you to brainstorm the products, services, and changes your organization needs to achieve advanced data analytics excellence.
Design and development
From there, we’ll be ready to design, develop, optimize, and implement the products you need to succeed from predictive analytics to machine learning tools.
Testing and launch
We thoroughly test our software systems before going live, at which point you can begin collecting and harnessing data from advanced cloud computing hosts.
Ongoing support
Even after launch, we support our clients to help them take action on their incoming structured and unstructured data sets.
Our Development Process
01
Understanding
Background details
Business processes assessment
Analyze data
User browsing habits
Stakeholder insights
02
Research & Discovery
Customer research
Software architecture
Expert audits & insights
Current market positioning
03
Strategy
Data mining
Market opportunities
Actionable insights delivery
Financial information integration
04
Software Development
Raw data collection
Data partitioning
Business intelligence mapping
Delivery framework
05
Deliver & integrate
Software delivery
Historical data listening
Optimize NOSQL databases
Deep learning assessments
Partner With Dev.co
Are you ready to begin work on your next big data project?
Or are you interested in learning more about our development process?
Contact DEV.co today for a free quote, or a free consultation!
Frequently Asked Questions
Big data is a term used to describe the large volume of data – both structured and unstructured – that businesses collect and store every day. This data can be analyzed to help organizations make better decisions, identify new opportunities, and improve their operations.
- Increased efficiency
- Improved decision making
- Enhanced customer service
- More accurate forecasting
A truly custom software development team can provide and deliver a software project that properly integrates big data systems with raw data for the proper big data processes and analytics your business needs to make better, more informed and timely decisions.
Big data works by collecting data from a variety of sources, including social media, customer transactions, and sensors. This data is then processed and analyzed to identify trends and patterns. This information can be used to make better decisions, improve customer service, and find new opportunities.
There are a variety of industries that use big data, including retail, manufacturing, healthcare, and financial services. Each industry has its own unique needs and requirements when it comes to big data. For example, retailers may use big data to improve their inventory management or identify new marketing opportunities. Manufacturers may use it to better understand customer needs and preferences. Healthcare providers may use it to improve patient care. And financial services companies may use it to detect fraudulent activity.
There are a number of data analytics software platforms that can be used for big data. Some of the most popular ones include Hadoop, MangoDB, Elastic.co, Spark, and Cassandra. These platforms allow businesses to store, process, and analyze large volumes of data. They also provide a variety of tools and features that can help organizations make better decisions and improve their operations.
One of the biggest challenges with big data is dealing with the large volume of data. This can be difficult for organizations to manage and process. Another challenge is making sure that the data is accurate and reliable. It’s important to have a system in place to ensure that the data is correct and up-to-date.
Another challenge is ensuring that the data is properly analyzed. businesses may not have the resources or expertise to analyze all of this data on their own. They may need to rely on outside vendors or consultants to help them get the most out of their data.
Another challenge is security. With so much data being collected and stored, it’s important to make sure that it’s secure and protected from unauthorized access or manipulation.
There are a number of ways to learn about big data. One is to attend training workshops and classes offered by big data vendors or providers. Another is to read books and articles about big data. A third is to watch videos on the subject. Finally, you can also attend conferences and other events related to big data.
If you’re looking for a good big data software developer, there are a few things you can do. First, you can attend training workshops and classes offered by big data vendors or providers. This will give you a chance to meet and learn from some of the best developers in the industry. Second, you can read books and articles about big data. This will help you understand what big data is and how it works. Third, you can watch videos on the subject. This will give you a basic understanding of big data and how it can be used to improve your business. Finally, you can attend conferences and other events related to big data. This will give you a chance to meet and learn from experts in the field.
Finally, the team at DEV.co are experts in creating tools that will provide you the access you need to your big data resources. Contact us today!
