Athena Template

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JAAthena template is an education-themed Joomla template for School, University websites with all provided layouts and content designs for important pages: Home page, Academics, Admission, Alumni, and more. It also supports all Joomla default pages: category blog, contact, login, etc to save you lots of time to build a complete university website.

The template is built with the new T4 Framework, it is easy to customize based on a powerful admin control panel: layout builder, theme color settings, typography settings, megamenu builder, and many more.

The Joomla theme is fully compatible with Joomla 4 & Joomla 3 with quickstart packages included for each Joomla version. The template supports RTL language layout at core.

JA Athena is perfect for schools, college's, universities or any educational institute's website. The template comes with beautiful bonus styles and pages to showcase the university academic, admission info, history, campus, student life, events, etc..

The Joomla template includes multiple beautiful ready-to-use pages, all Joomla default pages with customized style to help you build a complete website without coding or using 3rd party extensions: News, Contact, tags, search, registration and many more.

AWS CloudFormation doesn't support cross-Region resources. If you plan to use an AWS CloudFormation template, you must create all resources in the same AWS Region. The Region must support the following services:

To streamline and automate integration of your Cost and Usage Reports with Athena, AWS provides an AWS CloudFormation template with several key resources along with the reports that you set up for Athena integration. The AWS CloudFormation template includes an AWS Glue crawler, an AWS Glue database, and an AWS Lambda event.

The Athena integration setup process using AWS CloudFormation removes any Amazon S3 events that your bucket might already have. This can negatively affect any existing event-based processes that you have for an existing AWS CUR report. We strongly recommend that you create both a new Amazon S3 bucket and a new AWS CUR report to use with Athena.

After purchasing, you'll receive a link to access your content in our online portal. There, you'll receive a PDF with instructions on how to access your downloads/templates. If you have any issues accessing your purchase, please contact us at he...@launchinstyleshop.com.

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Is it possible to create an Athena view via cloudformation template. I can create the view using the Athena Dashboard but I want to do this programmatically using CF templates. Could not find any details in AWS docs so not sure if supported.

It is possible to create views with CloudFormation, it's just very, very, complicated. Athena views are stored in the Glue Data Catalog, like databases and tables are. In fact, Athena views are tables in Glue Data Catalog, just with slightly different contents.

I think for now the best way to create Athena view from CloudFormation template is to use Custom resource and Lambda. We have to supply methods for View creation and deletion. For example, using crhelper library Lambda could be defined:

The Athena queries for view creation/updation/deletion are passed as environmental parameters to Lambda.In CloudFormation template we have to define the Lambda that invokes mentioned Python code and creates/updates/deletes Athena view. For example

Before you add partition projection properties to an existing table, the partition column for which you are setting up partition projection properties must already exist in the table schema. If the partition column does not yet exist, you must add a partition column to the existing table manually. AWS Glue does not perform this step for you automatically.

This section shows how to set the table properties for AWS Glue. To set them, you can use the AWS Glue console, Athena CREATE TABLE queries, or AWS Glue API operations. The following procedure shows how to set the properties in the AWS Glue console.

On the Tables tab, you can edit existing tables, or choose Add tables to create new ones. For information about adding tables manually or with a crawler, see Working with tables on the AWS Glue console in the AWS Glue Developer Guide.

The following example query uses SELECT DISTINCT to return the unique values from the year column. The database contains data from 1987 to 2016, but the projection.year.range property restricts the values returned to the years 2010 to 2016.

HIVE_METASTORE_ERROR: Table database_name.table_name is configured for partition projection, but the following partition columns are missing projection configuration: [column_name] (table database_name.table_name).

When you edit table properties in AWS Glue, you can also specify a custom Amazon S3 path template for the projected partitions. A custom template enables Athena to properly map partition values to custom Amazon S3 file locations that do not follow a typical .../column=value/... pattern.

Using a custom template is optional. However, if you use a custom template, the template must contain a placeholder for each partition column. Templated locations must end with a forward slash so that the partitioned data files live in a "folder" per partition.

Issues with partition projection might be related to matching the storage.location.template with the Amazon Simple Storage Service (Amazon S3) directory structure. If the column is defined as a partition column, then it requires a location in the storage.location.template and a projection configuration for the column. When you create a storage.location.template, the partition values are projected into the template to pull the Amazon S3 paths for data. If the template doesn't match your directory or your projection configurations are missing, then issues appear.

Check that your storage.location.template has a placeholder for every partition column and matches the Amazon S3 directory structure of your bucket. For example, AWS CloudTrail logs can use partition projection.

If you receive this error, then the storage.location.template is missing a partition column placeholder. To resolve, make sure that each column in the PARTITIONED BY clause has a placeholder.

If you receive this error, then the column defined by the PARTITIONED BY clause is missing the required table parameters for projection such as projection.columnName.format. To resolve this, check your table parameters as follows:

If your Athena table has Hive style partitioning, but you want to use partition projection, then check the storage template and projection formats. The storage template and projection formats must include the partition_col_name= portion of the Amazon S3 path. Run the following command:

If you have multiple Hive style partitions and you want to map them to a single projected partition column, then alter the column format. To query your Amazon S3 data to have a single partition column called date, run the following command:

Amazon AppStream 2.0 now lets you subscribe to usage reports that provide detailed information about how users are using the service. The reports include how long users are streaming and which applications they are launching.

Usage reports are stored as separate .csv files in your Amazon S3 bucket, which you can download and analyze using third-party BI tools. However, you may want to analyze your usage data in AWS without downloading your reports or create reports over custom date ranges without concatenating multiple .csv files.

You must have sufficient AWS Glue, Athena, and IAM permissions to create and run the CloudFormation stack. Ask your AWS account administrator to either perform these steps in your account or grant you the IAM permissions described in Step 7 of Create an AWS Glue crawler.

You can start or stop your subscription to usage reports at any time. There is no charge for subscribing to usage reports, but standard S3 changes may apply to reports that are stored in your S3 bucket. For more information, see Amazon S3 Pricing.

Amazon Athena is a serverless, interactive query service that you can use to analyze data stored in your S3 buckets by using standard SQL queries. AWS Glue is a fully managed extract, transform, and load (ETL) service. It allows you to create a database (also referred to as the AWS Glue Data Catalog) from your S3 data and to query that database using Athena.

You can manually create a database and tables in Athena for your usage data by following the steps in the Amazon Athena Getting Started Guide and listing all fields described in AppStream 2.0 Usage Reports Fields in the AppStream 2.0 Developer Guide. Alternatively, you can use an AWS Glue crawler to automatically detect the schema of your S3 data and create a corresponding database and tables. This post describes how to use an AWS CloudFormation template to create an AWS Glue crawler.

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