AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. Choose the link under OpenSearch Dashboards URL. After the job runs successfully, navigate to OpenSearch Dashboards, and log in to the dashboard.

Analytics 105

Analytics IT Data Lake Visualization 105

AWS Big Data

MAY 10, 2023

A write-back is the ability to update a data mart, data warehouse, or any other database backend from within BI dashboards and analyze the updated data in near-real time within the dashboard itself. AnyCompany wants to build a new dashboard with quote history data for analysis and business insights.

Dashboards 82

Dashboards Data Warehouse Visualization Data Processing 82

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, data warehouse, and data lakes can become equally challenging.

Data Lake 122

Data Lake Analytics Dashboards Metrics 122

datapine

SEPTEMBER 27, 2022

With a MySQL dashboard builder , for example, you can connect all the data with a few clicks. The new version includes details on the latest SQL features such as techniques for wrangling data, as well as two new chapters, one dedicated to setting up your own system, and another for using PostgreSQL and JSON. Viescas, Douglas J.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

AWS Big Data

NOVEMBER 30, 2023

This integration simplifies the authentication and authorization process for Amazon Redshift users using Query Editor V2 or Amazon Quicksight , making it easier for them to securely access your data warehouse. Note: Your organization’s IdC instance must be in the same region as the Amazon Redshift data warehouse you’re connecting to.

Data Warehouse 90

Data Warehouse Finance Sales Management 90

AWS Big Data

MARCH 11, 2024

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, straightforward, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the most widely used cloud data warehouse.

Analytics 72

Analytics Data Warehouse Optimization Metrics 72

AWS Big Data

AUGUST 27, 2024

You can use the AWS Cloud Development Kit (AWS CDK) to deploy the Lambda function, RDS for PostgreSQL data model tables, and a QuickSight dashboard to track EMR cluster cost at the job, team, or business unit level. The following schema show the tables used in the solution which are queried by QuickSight to populate the dashboard.

Metrics 85

Metrics Dashboards Data Lake Optimization 85

AWS Big Data

APRIL 25, 2024

As the queries finish running, an UNLOAD operation is invoked from the Redshift data warehouse to the S3 bucket in Account A. The Airflow DAG uses various operators, sensors, connections, tasks, and rules to run the data pipeline as needed. For more information, see Monitoring dashboards and alarms on Amazon MWAA.

Metadata 112

Metadata Data Processing Management Testing 112

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. sales_datashare_schema"."sales_schema.store_sales";

Management 100

Management Data Lake Sales Data Warehouse 100

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

AWS Big Data

AUGUST 5, 2024

These business units have varying landscapes, where a data lake is managed by Amazon Simple Storage Service (Amazon S3) and analytics workloads are run on Amazon Redshift , a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data.

Data Lake 86

Data Lake Finance Sales Management 86

AWS Big Data

APRIL 20, 2023

Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake 81

Data Lake Data Warehouse Sales Data-driven 81

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Power Query 101 (for Power BI Dashboard). Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Power Query 101 (For Power BI Dashboard).

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Power Query 101 (for Power BI Dashboard). Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Power Query 101 (For Power BI Dashboard).

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Power Query 101 (for Power BI Dashboard). Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Power Query 101 (For Power BI Dashboard).

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Power Query 101 (for Power BI Dashboard). Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Power Query 101 (For Power BI Dashboard).

Dashboards 40

Dashboards Visualization KPI Interactive 40

AWS Big Data

JUNE 6, 2023

Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business. Unless, of course, the rest of their data also resides in the Google Cloud. The Data Science teams also use this data for churn prediction and CLTV modeling.

Analytics 59

Analytics Data Lake Testing Optimization 59

AWS Big Data

MARCH 21, 2023

In this post, we discuss how to democratize data access to Amazon Redshift using the Amazon Redshift Query Editor V2. Background At AWS Payments, we had been using Redash to allow our users to author and run SQL queries against our Amazon Redshift data warehouse. You also can add a description for your query.

Cost-Benefit 79

Cost-Benefit Dashboards Visualization Data-driven 79

Jet Global

SEPTEMBER 22, 2023

The AI Revolution in Embedded Analytics The integration of AI, particularly the capabilities of ChatGPT, into embedded analytics platforms like Logi Symphony, marks a significant milestone in the evolution of data-driven decision-making. That way, we know it will still be available anytime we want to see the data.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52