AWS Big Data

FEBRUARY 12, 2024

About Redshift and some relevant features for the use case Amazon Redshift is a fully managed, petabyte-scale, massively parallel data warehouse that offers simple operations and high performance. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

Analytics 118

Analytics Data Warehouse Snapshot Cost-Benefit 118

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

David Menninger's Analyst Perspectives

SEPTEMBER 19, 2024

As I explained in our recent Buyers Guide for Data Platforms , the popularization of generative artificial intelligence (GenAI) has had a significant impact on the requirements for data platforms in the last 18 months. Snowflake is not alone in adding support for AI workloads to its data platform.

Data Warehouse 130

Data Warehouse Data Science Modeling Data Governance 130

Cloudera

NOVEMBER 2, 2020

Users today are asking ever more from their data warehouse. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. Ingest 100s of TB of network event data per day .

Data Warehouse 97

Data Warehouse Dashboards Optimization Interactive 97

Timo Elliott

OCTOBER 3, 2019

I recently had the honor of delivering the keynote at the “The Journey to the Top” Event at SAP UK headquarters, and you can see my slides and a video in my previous post How Data is Powering The Future of Business: Trends and Opportunities. People, collaboration, and ease of use.

Data Warehouse 69

Data Warehouse Digital Transformation Machine Learning Strategy 69

AWS Big Data

JANUARY 30, 2025

Diagram 1: Overall architecture of the solution, using AWS Step Functions, Amazon Redshift and Amazon S3 The following AWS services were used to shape our new ETL architecture: Amazon Redshift A fully managed, petabyte-scale data warehouse service in the cloud. The following Diagram 4 shows this workflow.

Data Warehouse 52

Data Warehouse Data Architecture Machine Learning Data Transformation 52

AWS Big Data

MAY 28, 2024

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

IoT 111

IoT Analytics Dashboards Data-driven 111

AWS Big Data

APRIL 10, 2024

and zero-ETL support) as the source, and a Redshift data warehouse as the target. The integration replicates data from the source database into the target data warehouse. Additionally, you can choose the capacity, to limit the compute resources of the data warehouse. For this post, set this to 8 RPUs.

Data Warehouse 114

Data Warehouse Analytics Metrics Snapshot 114

AWS Big Data

DECEMBER 10, 2024

Amazon Redshift is a fast, petabyte-scale, cloud data warehouse that tens of thousands of customers rely on to power their analytics workloads. With its massively parallel processing (MPP) architecture and columnar data storage, Amazon Redshift delivers high price-performance for complex analytical queries against large datasets.

Sales 100

Sales Metadata Enterprise Testing 100

AWS Big Data

FEBRUARY 26, 2025

This premier event showcased groundbreaking advancements, keynotes from AWS leadership, hands-on technical sessions, and exciting product launches. Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse).

Metrics 87

Metrics Slice and Dice Data Warehouse Dashboards 87

AWS Big Data

JANUARY 8, 2024

In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices. The collected data is available in milliseconds to allow real-time analytics use cases, such as real-time dashboards, real-time anomaly detection, and dynamic pricing.

Analytics 130

Analytics IoT Data-driven Snapshot 130

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. Analytical tools are used to achieve user understanding and comfort. Summing Up.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 109

Data Warehouse Analytics Data Lake Data Science 109

AWS Big Data

JUNE 28, 2023

There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g. With Aurora zero-ETL integration with Amazon Redshift, the integration replicates data from the source database into the target data warehouse. or higher version) database.

Data Warehouse 102

Data Warehouse Analytics Metrics Dashboards 102

CIO Business Intelligence

OCTOBER 19, 2023

With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. You can drill into data, create a variety of visualizations, and (literally) ask questions about it using AI.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Management 98

Management Data Warehouse Digital Transformation Dashboards 98

Cloudera

FEBRUARY 8, 2021

The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle. Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

AWS Big Data

SEPTEMBER 11, 2024

The application supports custom workflows to allow demand and supply planning teams to collaborate, plan, source, and fulfill customer orders, then track fulfillment metrics via persona-based operational and management reports and dashboards. To achieve this, Aruba used Amazon S3 Event Notifications.

Data Architecture 104

Data Architecture Optimization Data Warehouse Metadata 104

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Data lakes are more focused around storing and maintaining all the data in an organization in one place.

Analytics 86

Analytics Data Warehouse Data Lake Metadata 86

AWS Big Data

MARCH 21, 2024

The extract, transform, and load (ETL) process has been a common pattern for moving data from an operational database to an analytics data warehouse. ELT is where the extracted data is loaded as is into the target first and then transformed. ETL and ELT pipelines can be expensive to build and complex to manage.

Data Warehouse 107

Data Warehouse Metrics Statistics Optimization 107

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 93

Dashboards Data Warehouse Visualization Data Processing 93

CIO Business Intelligence

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

MAY 17, 2023

During that same time, AWS has been focused on helping customers manage their ever-growing volumes of data with tools like Amazon Redshift , the first fully managed, petabyte-scale cloud data warehouse. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

Data Warehouse 126

Data Warehouse Cost-Benefit Sales Data-driven 126

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. You don’t need to worry about workloads such as ETL (extract, transform, and load), dashboards, ad-hoc queries, and so on interfering with each other.

Analytics 110

Analytics Data Warehouse Dashboards Testing 110

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool. Ashish Agrawal is a Sr.

Metrics 94

Metrics Data Warehouse Dashboards Snapshot 94

Occam's Razor

JANUARY 30, 2012

Create a Customized Dashboard – Earn Love, Drive Change. #2. Leverage Custom Alerts – Let Data Kick Your Butt Into Action. #3. Create a Customized Dashboard – Earn Love, Drive Change! Who does not love dashboards? Then click on Dashboards, and what do you see? New Dashboard. Humans love them.

Analytics 146

Analytics Dashboards Metrics Key Performance Indicator 146

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 129

Data Lake Analytics Dashboards Metrics 129

AWS Big Data

NOVEMBER 9, 2023

The aim was to bolster their analytical capabilities and improve data accessibility while ensuring a quick time to market and high data quality, all with low total cost of ownership (TCO) and no need for additional tools or licenses. These are specifically tailored to support BI reports and dashboards as per the business requirements.

Data Warehouse 124

Data Warehouse Testing Data Quality Reporting 124

AWS Big Data

SEPTEMBER 5, 2024

Federated queries allow querying data across Amazon RDS for MySQL and PostgreSQL data sources without the need for extract, transform, and load (ETL) pipelines. If storing operational data in a data warehouse is a requirement, synchronization of tables between operational data stores and Amazon Redshift tables is supported.

IoT 110

IoT Data Warehouse Cost-Benefit Reporting 110

Cloudera

OCTOBER 18, 2022

However, we quickly found that our needs were more complex than the capabilities provided by the SaaS vendor and we decided to turn the power of CDP Data Warehouse onto solving our own cloud spend problem. This brings data directly into the Data Warehouse , which is stored as Parquet into Hive/Impala tables on HDFS.

IT 89

IT Data Warehouse Dashboards Visualization 89

CIO Business Intelligence

FEBRUARY 15, 2024

But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” In fact, CNR has had a data warehouse for 15 years, which gathers information from internal management systems to perform analyses and guide strategies.

Strategy 134

Strategy Digital Transformation Cost-Benefit Forecasting 134

AWS Big Data

JUNE 23, 2023

Imperva Cloud WAF protects hundreds of thousands of websites and blocks billions of security events every day. Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes.

Data Lake 84

Data Lake Dashboards Cost-Benefit Data Warehouse 84