Big data is truly huge these days. It has impacted numerous technologies that are constantly evolving. It has a great impact on software development at present.

Big data analytics is an ocean of information that people swim each day. Vast data zetabytes flowing from computers, machine sensors and mobile devices. With the right tools, an enterprise could store, could manage and analyze the data and acquire valuable insights that were unimaginable in the past. Huge data technologies like analytics, in-memory data management, AI and machine learning could help transform a business’ decision making.


Data analytics is a huge help in boosting the process of developing software solutions by a software development company. Service providers give effective development services.  With the constant evolution of technology, many systems were integrated into the process of development. Effective services provide peace of mind and reliability, flexibility as well as cost benefit to any enterprise. App development companies cater to clientele of various sizes and across industries. The relationship is made of mutual trust, respect and benefit. It has become paramount for a service provider to stay updated on the present system and technologies to cater to the changing needs and requirements of clients as well as to be more effective in the whole development procedure.


The best data analytics software is described as large data volumes or big chunks of data that need special processes to be analyzed and processed. Nowadays, the world is data-driven. People contribute to the large data generation as big amounts are produced on a daily basis. Big transfers of data and information to holistic data produced in form of images, documents, text messages, emails, videos and more. Just one individual creates a massive amount of data every day. Imagine this for an entire organization with hundreds of people.


The new benefits that data analytics brings to the table are speed and efficiency. This helps in a huge way to develop software solutions. It helps organizations harness data and use it to find new opportunities. In turn, this leads to smart business moves, more efficient operations, bigger profits and definitely happier customers. Technologies, like cloud-based analytics and Hadoop bring significant savings on cost when it comes to storing big data amounts.  Furthermore, they could identify business performance that is more efficient.


To stay ahead of the competition and to keep up with the evolving technology and needs, organizations invest in building customized software that integrates all data. One of the most important elements of the analytics approach to developing software is good data gathering. A great place to start with is one’s accomplished projects. One can input the start data of the project, end data, effort extended and peak staff as well as any more metrics collected to SLIM-DataManager. As current projects wind down, one can do a postmortem on the completion of the project in which one could gather data on all interest metrics. Besides, one could make use of the review tab to enter a project data that’s accomplished for the scheduling, effort, growth size and cost to calculate schedule overrun as well as slippage.


These days, software developers like to fail fast. They have no luxury of spending a few months developing and testing a new application only to find out that it does not or no longer meets the business requirements. This is something they have to find out the soonest and it requires agility. Data scientists, analytics and developers working with data analytics have similar requirements. In order to succeed, information technology organizations should extend the agile software development concepts to data analytics and Hadoop. They should enable developers and scientists to get data that they need as soon as possible.

In the past, to create enterprise-grade applications, several software development teams would work independently on the app components. When all individual building and testing is accomplished, the pieces are tested and combined. There would usually be concerns and these various pieces would go back to development teams for rework and more testing and could happen a lot of times. Finally, the app will be forwarded to the information technology operations team for staging and for deployment. Nonetheless, the processes take weeks to months.

Now, the timeframes are not tenable any longer, especially with today’s mandate for faster business innovation, quicker response to changes and the market and rapid development of new products. The agile environment is adaptive, it promotes evolutionary development and continuous improvement too. Moreover, it fosters flexibility and champions fast failures. The most important probably is that it helps the team of developers in a software development organization to create and deliver.

Big data software vendors look at open source as a chance to help customers derive more value out of their software investments. Moreover, they are creating integration to make it easy.



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