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End-to-end Data & BI Platform including a business dashboard creator, extensive data manipulation tools & automatic data refresh, and publication.
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A fully managed data warehouse for large-scale data analytics.
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Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.
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Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
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Confluent offers a real-time data platform built around Apache Kafka.
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Kaggle offers innovative business results and solutions to companies.
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Apache Storm is a free and open source distributed realtime computation system.
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Holistics is a powerful BI platform that empowers analysts with SQL to build a data warehouse and automated reporting routines that deliver data to everyone. Get your first report within 10 minutes! Sign-up for a free trial!
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Analytics Engine is a combined Apache Spark and Apache Hadoop service for creating analytics applications.
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Hadoop-Related.
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Data Analytics Made Easy!
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DataPreparator is a free software tool designed to assist with tasks of data preparationย in data analysis and data mining.ย .
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Analytics Canvas is a data management platform with a specific focus on Google data tools, enabling self-serve data preparation and automation for those working with Analytics, Ads, Search Console, Sheets, BigQuery, Data Studio and more.
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Talend Data Preparation combines intuitive self-service data preparation and data curation tools with data integration to accelerate data usage across the organization.
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This article provides an introduction to Spark in HDInsight and the different scenarios in which you can use Spark cluster in HDInsight.
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Amazon Kinesis Firehoseย can capture, transform, and load streaming data into AWS.
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Apica Makes Telemetry Data Management & Observability Intelligent.
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BlueData's software platform makes it easier, faster and more cost-effective for organizations to deploy Big Data infrastructure on-premises.
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SQream empowers organizations to analyze the full scope of their Massive Data, from terabytes to petabytes, to achieve critical insights which were previously unattainable.
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Apache ORC is a columnar storage for Hadoop workloads.