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configure-COS-S3-object-storage.md

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1. Provision an {{site.data.keyword.cos_short}} service instance in {{site.data.keyword.Bluemix_short}}. See [Creating a new service instance](/docs/cloud-object-storage/iam?topic=cloud-object-storage-provision).
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Create an {{site.data.keyword.Bluemix_short}} bucket in the region of your choice and select the configuration, such as resiliency (regional or cross-regional), and storage volume and price. See [Creating buckets to store your data](/docs/cloud-object-storage?topic=cloud-object-storage-getting-started-cloud-object-storage).
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Create an {{site.data.keyword.cos_short}} bucket in the region of your choice and select the configuration, such as resiliency (regional or cross-regional), and storage volume and price. See [Creating buckets to store your data](/docs/cloud-object-storage?topic=cloud-object-storage-getting-started-cloud-object-storage).
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Make a note of the bucket name that you created. You will need it later when you configure {{site.data.keyword.iae_full_notm}} to work with {{site.data.keyword.cos_short}}.
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1. [Get the {{site.data.keyword.cos_short}} credentials](/docs/AnalyticsEngine?topic=AnalyticsEngine-get-cos-credentials).

solution-tuts.md

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---
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copyright:
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years: 2017, 2019
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years: 2017, 2020
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lastupdated: "2019-07-19"
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lastupdated: "2020-10-06"
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subcollection: AnalyticsEngine
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# {{site.data.keyword.iae_full_notm}} solution tutorials
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{: #solution-tuts}
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You can work through the following {{site.data.keyword.iae_full_notm}} tutorials to learn more about using {{site.data.keyword.iae_full_notm}} in end-to-end scenarios.
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You can work through the following tutorials to learn more about using {{site.data.keyword.iae_full_notm}} in end-to-end scenarios.
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<!--
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- Learn how to analyze and visualize publicly available data sets by using Spark. The tutorial teaches you how to:
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- Deploy {{site.data.keyword.iae_full_notm}} and {{site.data.keyword.DSX_short}}
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- Associate an {{site.data.keyword.iae_full_notm}} instance with a project in {{site.data.keyword.DSX_short}}
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- Work in a Jupyter notebook using a Python kernel
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- Import, transform, analyze, and visualize data sets
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See [Analyze and visualize open data with Apache Spark](https://cloud.ibm.com/docs/tutorials?topic=solution-tutorials-big-data-analytics-spark).
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See [Analyze and visualize open data with Apache Spark](https://cloud.ibm.com/docs/tutorials?topic=solution-tutorials-big-data-analytics-spark). -->
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- Learn how to build a log analysis pipeline designed to collect, store and analyze log records to support regulatory requirements or aid information discovery. This solution leverages several services available in {{site.data.keyword.Bluemix_short}}: Event Streams, {{site.data.keyword.cos_full_notm}}, SQL Query, Streaming Analytics and {{site.data.keyword.iae_full_notm}}. A program will assist you by simulating transmission of web server log messages from a static file to Event Streams.
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See [Big data logs with streaming analytics and SQL](/docs/solution-tutorials?topic=solution-tutorials-big-data-log-analytics#big-data-log-analytics).
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- Learn how to set up an IoT device, gathering data in the Watson IoT Platform, exploring data and creating visualizations and then using advanced machine learning services to analyze data and detect anomalies in the historical data. IBM Watson IoT Platform is a fully managed, cloud-hosted service that makes it simple to derive value from Internet of Things (IoT) devices.
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See [Gather, visualize, analyze and detect anomalies in IoT data](/docs/solution-tutorials?topic=solution-tutorials-gather-visualize-analyze-iot-data#gather-visualize-analyze-iot-data).

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