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Using Geographic Data To Create A Perfect Google Maps Radius

Smart Data Collective

Whether you’re locating parks within a five-mile radius or visually communicating the areas in which your business provides service, a radius tool can provide additional organization to your search. The highly intuitive data interface provided by Google Maps can be very helpful. When to use a radius on a map.

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Measure performance of AWS Glue Data Quality for ETL pipelines

AWS Big Data

Replace the placeholder with the S3 bucket name you created earlier: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "s3:GetObject", "Resource": [ "arn:aws:s3::: /*" ] } ] } Next, we create one of the AWS Glue ETL jobs, ruleset-5. On the AWS Glue console, under ETL jobs in the navigation pane, choose Visual ETL.

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Accelerate analytics on Amazon OpenSearch Service with AWS Glue through its native connector

AWS Big Data

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, and combine data for analytics, machine learning (ML), and application development. AWS Glue provides both visual and code-based interfaces to make data integration effortless. Choose Create job and Visual ETL.

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Using Instagram Highlight Covers in Your Data-Driven Marketing Strategy

Smart Data Collective

One study found that retailers that use big data have 2.7 Big data is even more important for companies that depend on social media marketing. Geoffrey Moore tweeted about this in 2012 when he said: “Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway.”.

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

Add this policy to the AWS Glue role and Amazon MWAA role: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "s3:GetObject", "s3:PutObject", "s3:PutObjectAcl" ], "Resource": "arn:aws:s3:::sample-inp-bucket-etl- /*" } ] } In Account B, create the IAM policy policy_for_roleB specifying Account A as a trusted entity.

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Top 14 Must-Read Data Science Books You Need On Your Desk

datapine

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. It’s also one of the best books on data science around. A must for any budding data scientist’s home library.

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Build efficient ETL pipelines with AWS Step Functions distributed map and redrive feature

AWS Big Data

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue , Amazon EMR , and Amazon Redshift. On the Step Functions console, navigate to the failed workflow you want to redrive.

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