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The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because rawdata is painful to read and work with. Experience with using cloud services providing platforms like AWS/GCP/Azure.
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The Flask server, receiving insights from Spark, creates intuitive dashboards showcasing the analyzed Twitter data. Source- Real-time Twitter Data Analytics Project Using Flume AWS Kinesis Amazon Kinesis is a managed streaming service on AmazonWebServices (AWS) designed for handling real-time data at scale.
In fact, 95% of organizations acknowledge the need to manage unstructured rawdata since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses. In 2023, more than 5140 businesses worldwide have started using AWS Glue as a bigdatatool.
The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because rawdata is painful to read and work with. Experience with using cloud services providing platforms like AWS/GCP/Azure.
Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data. You must be aware of AmazonWebServices (AWS) and the data warehousing concept to effectively store the data sets.
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Bigdata technologies used: Microsoft Azure, Azure Data Factory, Azure Databricks , Spark BigData Architecture: This sample Hadoop real-time project starts off by creating a resource group in azure. To this group, we add a storage account and move the rawdata. Extracting data from APIs using Python.
Ace your bigdata interview by adding some unique and exciting BigData projects to your portfolio. This blog lists over 20 bigdata projects you can work on to showcase your bigdata skills and gain hands-on experience in bigdatatools and technologies.
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