Domino Data Lab

OCTOBER 7, 2020

Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. Statistical methods for analyzing this two-dimensional data exist.

Statistics 145

Statistics Testing Predictive Modeling Big Data 145

AWS Big Data

JUNE 18, 2024

Let’s test them and see the differences. About the Authors Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. Gonzalo Herreros is a Senior Big Data Architect on the AWS Glue team, with a background in machine learning and AI. Open the AWS Glue console with the blogDeveloper user.

Big Data 106

Big Data Interactive Management Data Integration 106

AWS Big Data

AUGUST 31, 2023

Use proper semantic conventions when providing the cluster, topic, and group permissions and remove the comments from the policy before using. { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "osis-pipelines.aws.internal" }, "Action": [ "kafka:CreateVpcConnection", "kafka:GetBootstrapBrokers", "kafka:DescribeCluster" (..)

Testing 113

Testing Data Processing Dashboards Management 113

AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality is built on DeeQu , an open source tool developed and used at Amazon to calculate data quality metrics and verify data quality constraints and changes in the data distribution so you can focus on describing how data should look instead of implementing algorithms.

Data Quality 95

Data Quality Measurement Testing Visualization 95

AWS Big Data

JUNE 10, 2024

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. compute.internal ).

Data Lake 88

Data Lake Metadata Data Warehouse Data Processing 88

Smart Data Collective

APRIL 20, 2023

Companies are spending nearly $30 billion a year on big data for marketing initiatives. One of the many reasons that they are using big data is to create better content marketing strategies. Despite the many benefits of big data for content marketing, many businesses still don’t know how to utilize it effectively.

Marketing 86

Marketing Strategy Big Data ROI 86

AWS Big Data

JULY 31, 2024

Select Custom trust policy and paste the following policy into the editor: { "Version":"2012-10-17", "Statement":[ { "Effect":"Allow", "Principal":{ "Service":"osis-pipelines.amazonaws.com" }, "Action":"sts:AssumeRole" } ] } Choose Next, and then search for and select the collection-pipeline-policy you just created.

Visualization 94

Visualization Dashboards Testing Publishing 94

AWS Big Data

JULY 18, 2024

git clone [link] cd automate-and-simplify-aws-glue-data-asset-publish-to-amazon-datazone At the base of the repository folder, run the following commands to build and deploy resources to AWS. However for testing, you can manually run the crawler by going to the AWS Glue console and selecting Crawlers from the navigation pane.

Data Lake 114

Data Lake Publishing Metadata Data-driven 114

AWS Big Data

SEPTEMBER 6, 2023

When the Lambda function is triggered, the data sent to the function includes an array of records from the Kafka topic—no need for direct contact with Amazon MSK. For testing, this post includes a sample AWS Cloud Development Kit (AWS CDK) application. Prerequisites The example has the following prerequisites: An AWS account.

Testing 103

Testing Metadata Cost-Benefit Internet of Things 103

AWS Big Data

APRIL 26, 2024

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. Create an IAM Identity Center enabled security configuration for EMR clusters. Create a Service Catalog product template to create the EMR clusters. Choose Grant.

Analytics 100

Analytics Data Lake Management Enterprise 100

AWS Big Data

OCTOBER 24, 2024

It is advised to discourage contributors from making changes directly to the production OpenSearch Service domain and instead implement a gatekeeper process to validate and test the changes before moving them to OpenSearch Service. Jenkins retrieves JSON files from the GitHub repository and performs validation. Leave the settings as default.

Visualization 82

Visualization Management Data Processing Testing 82

AWS Big Data

NOVEMBER 13, 2023

The following is an example authorization policy for a cluster named MyTestCluster. catch(console.error) You are now finished with all the code changes.

Testing 98

Testing Management Consulting IT 98

AWS Big Data

OCTOBER 18, 2023

Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards). Before this release, to automate the process of taking snapshots, you needed to use the snapshot action of OpenSearch’s Index State Management (ISM) feature.

Snapshot 86

Snapshot Management Dashboards Data Processing 86

Howard Dresner

AUGUST 27, 2013

A participant in one of my Friday #BIWisdom tweetchats observed that “in the mobile ecosystem, Big Data + social + the NSA data surveillance news are a perfect storm.” percent of respondents ranked mobile BI as “critically important” in 2012. So mobile BI adoption will grow despite its current drawbacks.

Business Intelligence 60

Business Intelligence Finance Risk Data-driven 60

AWS Big Data

SEPTEMBER 4, 2024

Reverse ETL use cases are also supported, allowing you to write data back to Salesforce. You can use Amazon Athena to query the data: SELECT id, name, type, active__c, upsellopportunity__c, lastmodifieddate FROM "glue_etl_salesforce_db"."account" Big Data and ETL Solutions Architect, Amazon MWAA and AWS Glue ETL expert.

Data Integration 82

Data Integration Data Lake Data-driven Cost-Benefit 82

AWS Big Data

DECEMBER 16, 2024

For each service, you need to learn the supported authorization and authentication methods, data access APIs, and framework to onboard and test data sources. This approach simplifies your data journey and helps you meet your security requirements. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Visualization 65

Visualization Data Processing Testing Publishing 65

AWS Big Data

JULY 25, 2024

AWS Data Pipeline helps customers automate the movement and transformation of data. With Data Pipeline, customers can define data-driven workflows, so that tasks can be dependent on the successful completion of previous tasks. He is responsible for building software artifacts to help customers.

Visualization 96

Visualization Management Data Integration Testing 96

AWS Big Data

SEPTEMBER 18, 2023

Big Data Cloud Engineer ( ETL ) specialized in AWS Glue. Omar Elkharbotly is a Glue SME who works as Big Data Cloud Support Engineer 2 (DIST). He is dedicated to assisting customers in resolving issues related to their ETL workloads and creating scalable data processing and analytics pipelines on AWS.

Data Integration 101

Data Integration Big Data Interactive Software 101

AWS Big Data

APRIL 19, 2023

Many customers run big data workloads such as extract, transform, and load (ETL) on Apache Hive to create a data warehouse on Hadoop. json ) to DynamoDB (for more information, refer to Write data to a table using the console or AWS CLI ): { "name": "step1.q", He is passionate about big data and data analytics.

Metadata 78

Metadata Data Lake Testing Consulting 78

AWS Big Data

AUGUST 27, 2024

Amazon EMR on EC2 is a managed service that makes it straightforward to run big data processing and analytics workloads on AWS. With Amazon EMR, you can take advantage of the power of these big data tools to process, analyze, and gain valuable business intelligence from vast amounts of data.

Metrics 80

Metrics Dashboards Data Lake Optimization 80

AWS Big Data

MAY 2, 2023

Analysts performing ad hoc analyses in their workspace need to load sample data in Amazon Redshift by creating a table and load data from desktop. They want to join that data with the curated data in their data warehouse. He helps customers architect data analytics solutions at scale on the AWS platform.

Data Warehouse 61

Data Warehouse Software Visualization IoT 61

AWS Big Data

MARCH 13, 2024

This solution includes a Lambda function that continuously updates the Amazon Location tracker with simulated location data from fictitious journeys. You can test this solution yourself using the AWS Samples GitHub repository. The Lambda function is triggered at regular intervals using a scheduled EventBridge rule.

Analytics 100

Analytics IoT Metadata Internet of Things 100

AWS Big Data

OCTOBER 19, 2023

Customers uploading and searching through decades of photos helped turn search into critical infrastructure, growing steadily since SmugMug first used Amazon CloudSearch in 2012, followed by Amazon OpenSearch Service since 2018, after reaching billions of documents and terabytes of search storage. Stay tuned for results.

Publishing 59

Publishing Testing Cost-Benefit Data-driven 59

AWS Big Data

DECEMBER 12, 2023

Clean up When you’re done testing the solution, clean up the resources to avoid incurring future charges: Delete the Redshift provisioned cluster. If you’re getting errors while setting up the application on Okta, make sure you have admin access. Delete the IAM roles, IAM IdPs, and IAM policies.

Data Warehouse 100

Data Warehouse Management Finance Analytics 100

AWS Big Data

APRIL 3, 2024

In our example, we have configured a ruleset against a table containing patient data within a healthcare synthetic dataset generated using Synthea. Synthea is a synthetic patient generator that creates realistic patient data and associated medical records that can be used for testing healthcare software applications.

Data Quality 94

Data Quality Visualization Metadata Metrics 94

AWS Big Data

OCTOBER 31, 2023

If you’re testing on a different Amazon MWAA version, update the requirements file accordingly. For testing purposes, you can choose Add permissions and add the managed AmazonS3FullAccess policy to the user instead of providing restricted access. The requirements file is based on Amazon MWAA version 2.6.3.

Data Processing 94

Data Processing Management Publishing Visualization 94

AWS Big Data

MARCH 11, 2024

The trust policy should look like the following code: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": "sts:AssumeRole", "Principal": { "AWS": "arn:aws:iam::9876543210:role/MyRedshiftRole" } } ] } Sign in to the Amazon Redshift console as account A.

Analytics 72

Analytics Data Warehouse Optimization Metrics 72

AWS Big Data

OCTOBER 23, 2023

Then to perform more complex data analysis such as regression tests and time series forecasting, you can use Apache Spark with Python, which allows you to take advantage of a rich ecosystem of libraries, including data visualization in Matplot, Seaborn, and Plotly. About the Authors Pathik Shah is a Sr.

Data Lake 107

Data Lake Visualization Optimization Interactive 107

AWS Big Data

DECEMBER 10, 2024

On the Code + Test page, replace the sample code with the following code, which retrieves the users group membership, and choose Save. Test the SSO setup You can now test the SSO setup. Choose Test this application. Run a SQL statement to get data from sales_table. Log in as user C to test access for user C.

Sales 84

Sales Metadata Enterprise Testing 84

AWS Big Data

FEBRUARY 15, 2024

Delete the Lake Formation application and the Redshift provisioned cluster that you created for testing. Srividya Parthasarathy is a Senior Big Data Architect on the AWS Lake Formation team. She enjoys building data mesh solutions and sharing them with the community.

Management 94

Management Data Lake Sales Data Warehouse 94

AWS Big Data

AUGUST 5, 2024

In the navigation pane, under Data Catalog , choose Catalog settings. Test your IAM Identity Center and Amazon Redshift integration with QuickSight Now you’re ready to connect to Amazon Redshift using QuickSight. Clean up Complete the following steps to clean up your resources: Delete the data from the S3 bucket.

Data Lake 87

Data Lake Finance Sales Management 87

IBM Big Data Hub

AUGUST 9, 2023

By using real-time monitoring to see relevant events and metrics during development and testing, they can spot problems early, leading to more robust and reliable applications. Even individual developers working on personal projects can gain insights from observability.

Metrics 61

Metrics Interactive Data-driven Sales 61

AWS Big Data

MAY 4, 2023

Choose Test from SQL Workbench/J to test the connection. Clean up When you’re done testing the solution, clean up the resources to avoid incurring future charges: Delete the Redshift Serverless instance by deleting both the workgroup and the namespace. Choose Create policy. On the Create policy page, choose the JSON tab.

Data Warehouse 80

Data Warehouse Finance Sales Metadata 80

AWS Big Data

JUNE 13, 2023

Test the application Let’s invoke the application you have created to seamlessly sign in to QuickSight using the following URL. Add the sample user created in earlier to the group READ_ONLY_AWS_USERS. You now have a Keycloak role for the realm and client, and Keycloak mappers, groups, and users in your groups.

Metadata 52

Metadata Dashboards Business Intelligence Data Lake 52

AWS Big Data

OCTOBER 23, 2024

Data loading Amazon Redshift Query Editor v2 comes with sample data that can be loaded into a sample database and corresponding schema. To test Query profiler against the sample data, load the tpcds sample data and run queries.

Data Warehouse 82

Data Warehouse Metrics Broadcasting Dashboards 82

AWS Big Data

JUNE 7, 2023

However, there has to be different dashboards and datasets for each non-production environment, such as development and testing. For deployments, the import job API provides the capability to pass data source configurations to point to the respective test or production instances of data sources.

Dashboards 68

Dashboards Recreation/Entertainment Testing Business Intelligence 68

AWS Big Data

NOVEMBER 26, 2023

You may also need to change the region in the command and policy.

Interactive 108

Interactive Dashboards Management Cost-Benefit 108