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Showing posts from July, 2019

How to Use Big Data and Cloud Computing for Your Business?

In today's world of digitalization, Big Data and Cloud Computing play a huge role in business. It is with this functionality, business can find the best ways for growth, development, productivity and brand exposure. Big Data is helping in dealing with huge data amount. On the other hand, Cloud Computing is a technology that paves the venture for providing virtual services. These services are going to be safe, reliable and also we will be able to provide you with smart access through internet facilities. Another benediction is for the small businesses where it presents them with the storage facility at a reasonable range and makes use of the data efficiently for analysis. Cloud Computing and Big Data form to be a perfect and leveraging combination. Here are some of the factors where you will be able to understand how big data and cloud computing technologies are highly effective for business technologies. The Rapport of Big Data and Cloud Computing Both cloud computin

7 Reasons Why Java Developers Should Learn Hadoop

Technology keeps flourishing every passing year. With the enhancement in such, technology professionals too are progressing. If you are willing to abide by the progress, you need to keep yourself updated to take a step ahead to compete. It is important for you to identify your domain, analyse the latest trends to garner the knowledge on the growing niche in the technological world. Such days are gone when development work surrounded Java and relational databases. In today's world, companies are organizations are dealing with big data. They tend to outsource Java development roles to the other parties who are already having big data professionals. It is big data that takes you to take the next loop to Java and Hadoop complements each other. So, if you are a Java Developer, you have to make the right choices to conduct the transformation from Java to Hadoop. What’s exceptional about Hadoop? Unlike other traditional databases that are not capable of dealing with large v