Cloud Solutions For Big Data

1

How to start working with us.

Geolance is a marketplace for remote freelancers who are looking for freelance work from clients around the world.

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Create an account.

Simply sign up on our website and get started finding the perfect project or posting your own request!

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Fill in the forms with information about you.

Let us know what type of professional you're looking for, your budget, deadline, and any other requirements you may have!

4

Choose a professional or post your own request.

Browse through our online directory of professionals and find someone who matches your needs perfectly, or post your own request if you don't see anything that fits!

Experienced analysts and developers on the  Geolance IT marketplace are ready to help you to open the power of Big Data Analytics to get priceless insights and drive tangible benefits for your business.

Our big data specialists offer a broad range of services from the configuration or installation of big data tools to the creation of individual solutions and the making of reports. They offer Big Data analytics and work with some open source technologies like Hive, Spark, Pig, Oozie, Flume, Impala, and more to influence the power of big data for business benefits. Experienced professionals will also supply integration with NoSQL databases to cope with active data of every size.

Developers on our marketplace use the most well-organized deep learning and machine learning algorithms to provide your business with the best software for client analysis, risk detection, demand forecasting, market segmentation, price optimization, and more. Big Data technologies can assist your usage of big data insights for more planned management.

Big data engineers at Geolance digital marketplace offer Big Data solutions that include cloud computing to get rid of the maintaining costly infrastructure and to guarantee the organization of our clients’ information. they use Azure and Amazon Web Services (Lambda, EMR, Kinesis) to make sure that data analytics and processing are efficient. Our big data developers can work with existing MapReduce solutions and rewrite them to Spark.

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