Hadoop-Based Analytics
At Positive Group, we have a strong organizational focus on leveraging Hadoop for Big Data analytics. As Hadoop has gained significant traction with industry giants like Facebook and Yahoo, it has emerged as a leading technology for handling and analyzing massive datasets.
We have successfully deployed Hadoop in various applications, including image index building, pattern recognition, conclusion engines, and high-volume data analysis. Our team has built efficient batch-processing components capable of handling asynchronous jobs, utilizing Hadoop’s distributed processing capabilities.
Hadoop, with its Hadoop Distributed MapReduce (HDMS) and MapReduce jobs, is steadily replacing traditional ETL processes. By integrating Hadoop with intelligent Cloud Computing solutions, we significantly enhance processing speed, manageability, and data accuracy, even for vast amounts of data.
Our team has hands-on experience working with key technologies such as Apache Flume, Sqoop, Zookeeper, Pig, Hadoop Distributed File System (HDFS), and MapReduce. Combining this expertise with our advanced cloud computing knowledge, Positive Group is well-equipped to manage and execute large-scale Big Data projects, ensuring the most efficient and scalable solutions for your needs.
Hadoop-Based Analytics
Positive Group has strong organizational focus and projects leveraging Hadoop for Big Data Analysis. Since Facebook and Yahoo have utilized Hadoop for there data implementation, it has become an interesting technology for data analytics
Positive Group has so far deployed Hadoop in image index building, pattern recognitions, creating conclusion engines and analysis – with data generated at a very high volume. Positive Group has succesfully built batch-processing component with capabilities to handle asynchronous jobs with distributed processing nature.
Hadoop, using HDMS and mapReduce jobs is slowly replacing ETL entirely. This model along with intelligent use of Cloud Computing can increase processing speed dramatically, and improve the manageability and accuracy of huge data. We have team members who have worked on projects like Apache Fume, Sqoop, Zookeeper, Pig, Hadoop Distributed File System and Map Reduce. Positive Group Technology along with its strong knowledge of cloud computing technologies, uses Hadoop to handle Big Data projects.