ProCogia is proud to announce that we’ve been recognized by AWS (Amazon Web Services) for attaining our EMR (Elastic MapReduce) competency badge. AWS EMR is the industry-leading cloud big data platform for processing significant data sources, by creating a one-stop-shop for users. Global data amounted to 64 trillion GB (gigabytes) in 2020 and is expected to rise to 181 ZB (zettabytes) by 2025. This makes data processing and data efficiency a top priority. This is where AWS EMR establishes a seamless transaction between the user and their solutions through its ability to perform big data analytics, build scalable data pipelines and process real-time data. When we look at traditional big-scaled data, users often struggle to capture, store and analyze it successfully, especially when the data is unstructured. AWS EMR supports this by providing a Hadoop framework that can be used to process and analyze users’ large data sets. It achieves this through a variety of tools such as Hive, Pig, Spark and HBase. The access and integration with Hadoop also allows users to customize their environment with their own scripts, libraries and applications. Having control of these clusters gives data users the chance to better manage big data sets effectively. 
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