2012, Data Warehouse and Interactive

Centralize near-real-time governance through alerts on Amazon Redshift data warehouses for sensitive queries

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse

Data Warehouse Dashboards Testing Visualization

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

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. VPC endpoints are created for Amazon S3 and Secrets Manager to interact with other resources. Usually, data engineers create an Airflow Directed Acyclic Graph (DAG) and commit their changes to GitHub.

Metadata

Metadata Data Processing Management Testing

Introduction To The Basic Business Intelligence Concepts

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence

Business Intelligence Dashboards Data Warehouse Sales

Webinars

The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Understanding User Needs and Satisfying Them

MORE WEBINARS

Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

AWS Big Data

AUGUST 7, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. For more information, see ElectricityLoadDiagrams20112014 Data Set (Dua, D. and Karra Taniskidou, E.

Forecasting

Forecasting Data Warehouse Machine Learning Modeling

Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

SEPTEMBER 27, 2022

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. This piece, published in 2012, offers a step-to-step guide on everything related to SQL. Viescas, Douglas J.

Business Intelligence

Business Intelligence Data Warehouse Data Processing Data mining

Unlocking New Capabilities with ChatGPT in Logi Symphony

Jet Global

SEPTEMBER 22, 2023

For application teams and users, having access to insightful and actionable data is not just a luxury; it’s a necessity. You can create a query like this: “Please analyze this dataset and let me know interesting facts you see: Rows: (All) Quarter 1, 2012 Quarter 2, 2012 Quarter 3, 2012 … Cells: 4,117,344.28

Dashboards

Dashboards Data-driven Visualization Interactive

Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Amazon Redshift integration for Apache Spark helps developers seamlessly build and run Apache Spark applications on Amazon Redshift data.

Data Lake

Data Lake Data Warehouse Sales Data-driven

Perform secure database write-backs with Amazon QuickSight

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 currently uses Amazon Redshift as their enterprise data warehouse platform and QuickSight as their BI solution.

Dashboards

Dashboards Data Warehouse Visualization Data Processing

Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

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. To configure AWS CLI interaction with AWS, refer to Quick setup. Sandeep Singh is a Lead Consultant at AWS ProServe, focused on analytics, data lake architecture, and implementation.

Metadata

Metadata Testing Data Lake Consulting

Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Using Power Query, we will retrieve corporate data and produce powerful dashboards. Introduction to Power BI.

Dashboards

Dashboards KPI Interactive Publishing

Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Using Power Query, we will retrieve corporate data and produce powerful dashboards. Introduction to Power BI.

Dashboards

Dashboards KPI Interactive Publishing

Upcoming Power BI Workshop in Huntington Beach, CA – Apr 10, 2015

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Using Power Query, we will retrieve corporate data and produce powerful dashboards. Introduction to Power BI.

Dashboards

Dashboards Visualization Interactive KPI

Upcoming Power BI Workshop in Huntington Beach, CA – Apr 10, 2015

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Creating Interactive Visualisation for Actionable Analytics. Tips and Tricks on Charts and Data Models. Using Power Query, we will retrieve corporate data and produce powerful dashboards. Introduction to Power BI.

Dashboards

Dashboards Visualization Interactive KPI

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

IBM Big Data Hub

JANUARY 10, 2023

This allows data that exists in cloud object storage to be easily combined with existing data warehouse data without data movement. The advantage to NPS clients is that they can store infrequently used data in a cost-effective manner without having to move that data into a physical data warehouse table.

Data Warehouse

Data Warehouse Cost-Benefit Statistics Data Processing

Q&A with Greg Rahn – The changing Data Warehouse market

Cloudera

DECEMBER 12, 2018

After having rebuilt their data warehouse, I decided to take a little bit more of a pointed role, and I joined Oracle as a database performance engineer. I spent eight years in the real-world performance group where I specialized in high visibility and high impact data warehousing competes and benchmarks.

Data Warehouse

Data Warehouse Marketing Big Data Data Lake

Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

APRIL 3, 2019

Most of the data management moved to back-end servers, e.g., databases. So we had three tiers providing a separation of concerns: presentation, logic, data. Note that data warehouse (DW) and business intelligence (BI) practices both emerged circa 1990. We keep feeding the monster data.

Data Governance

Data Governance Machine Learning Metadata Big Data

How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Smart Data Collective

OCTOBER 17, 2022

In fact, you may have even heard about IDC’s new Global DataSphere Forecast, 2021-2025 , which projects that global data production and replication will expand at a compound annual growth rate of 23% during the projection period, reaching 181 zettabytes in 2025. zettabytes of data in 2020, a tenfold increase from 6.5

Big Data

Big Data Data-driven Recreation/Entertainment Data Governance

Data Science, Past & Future

Domino Data Lab

JULY 22, 2019

By virtue of that, if you take those log files of customers interactions, you aggregate them, then you take that aggregated data, run machine learning models on them, you can produce data products that you feed back into your web apps, and then you get this kind of effect in business. You also had the launch of smartphones.

Data Science

Data Science Machine Learning Data Governance Modeling

Data Leaders Brief

Centralize near-real-time governance through alerts on Amazon Redshift data warehouses for sensitive queries

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

Webinars

Trending Sources

Introduction To The Basic Business Intelligence Concepts

Webinars

Perform time series forecasting using Amazon Redshift ML and Amazon Forecast

Take Your SQL Skills To The Next Level With These Popular SQL Books

Unlocking New Capabilities with ChatGPT in Logi Symphony

Simplify and speed up Apache Spark applications on Amazon Redshift data with Amazon Redshift integration for Apache Spark

Perform secure database write-backs with Amazon QuickSight

Accelerate HiveQL with Oozie to Spark SQL migration on Amazon EMR

Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Upcoming Power BI Workshop in Brisbane – 27 Mar 2015

Upcoming Power BI Workshop in Huntington Beach, CA – Apr 10, 2015

Upcoming Power BI Workshop in Huntington Beach, CA – Apr 10, 2015

How to use Netezza Performance Server query data in Amazon Simple Storage Service (S3)

Q&A with Greg Rahn – The changing Data Warehouse market

Themes and Conferences per Pacoid, Episode 8

How The Explosive Growth Of Data Access Affects Your Engineer’s Team Efficiency

Data Science, Past & Future

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