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Cloud Solutions
Cloud Solutions For Big Data
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Alexander K. - 12591
Software Engineer
Petah Tikva, Israel
03:14 PM in local time
$70.00
per an hour
0%
Success Score
Verified
Vladislav R. - 108
Software Engineer
Dnipro, Ukraine
03:14 PM in local time
$20.00
per an hour
0%
Success Score
Verified
Ivan T. - 100
Web Developer
Lviv, Ukraine
03:14 PM in local time
$20.00
per an hour
0%
Success Score
Verified
Fedor G. - 95
Web Programmer
Uzhhorod, Ukraine
03:14 PM in local time
$20.00
per an hour
0%
Success Score
Verified
Alexandr L. - 74
Systems Engineer - Software
Kyiv, Ukraine
03:14 PM in local time
$30.00
per an hour
0%
Success Score
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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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