AWS Big Data

JUNE 21, 2023

Nonetheless, many of the same customers using DynamoDB would also like to be able to perform aggregations and ad hoc queries against their data to measure important KPIs that are pertinent to their business. A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis.

Data Warehouse 103

Data Warehouse Data Lake OLAP Cost-Benefit 103

Cloudera

MARCH 2, 2022

Billion-Row benchmark: On a single daemon, we ran the build and probe benchmark for a billion rows to measure the performance and memory consumed. TPC-DS-10000: Entire TPC-DS benchmark of scale 10000 was run on a 17-node cluster to measure the performance. It also measured peak memory consumed at the node and the operator level.

Data Warehouse 89

Data Warehouse Optimization Analytics Sales 89

AWS Big Data

MARCH 10, 2025

Amazon Redshift Serverless automatically scales compute capacity to match workload demands, measuring this capacity in Redshift Processing Units (RPUs). We encourage you to measure your current price-performance by using sys_query_history to calculate the total elapsed time of your workload and note the start time and end time.

Optimization 70

Optimization Data Warehouse Data-driven Testing 70

CIO Business Intelligence

MAY 23, 2024

There’s been good progress but, admittedly, there’s still a lot of work to do, says Nilsson, since it’s difficult to take ownership in a large organization and streamline data management. In the long run, we envisage new services such as being able to handle predictive maintenance based on what we know about the products,” he says.

Digital Transformation 111

Digital Transformation Measurement Cost-Benefit Data Warehouse 111

datapine

MAY 29, 2019

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. This will take a few minutes to run and will establish a query history for the tpcds data. Choose Run all on each notebook tab.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

CIO Business Intelligence

DECEMBER 20, 2024

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Data must be able to freely move to and from data warehouses, data lakes, and data marts, and interfaces must make it easy for users to consume that data.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Statistics Cost-Benefit Data-driven 58

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

DECEMBER 5, 2023

She helps customers architect data analytics solutions at scale on AWS. He has worked on building and tuning data warehouse and data lake solutions for over 15 years. He is passionate about helping customers modernize their data platforms with efficient, performant, and scalable analytic solutions.

Measurement 104

Measurement Dashboards Data Warehouse Analytics 104

datapine

JANUARY 24, 2021

The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality. Once you have your data analytics questions, you need to have some standard KPIs that you can use to measure them. As Data Dan reminded us, “did the best” is too vague to be useful.

IT 317

IT Statistics KPI Data-driven 317

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. This results in less joins between the metric data in fact tables, and the dimensions. So let’s dive in! OLTP vs OLAP.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 119

Data Warehouse Cost-Benefit Dashboards Optimization 119

O'Reilly on Data

OCTOBER 19, 2021

Data is at the core of any ML project, so data infrastructure is a foundational concern. ML use cases rarely dictate the master data management solution, so the ML stack needs to integrate with existing data warehouses. The iteration cycles should be measured in hours or days, not in months.

IT 364

IT Testing Experimentation Software 364

BI-Survey

JANUARY 15, 2023

Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. Therefore, it is not clear why the costly and apparently flexibility-inhibiting data warehouse is needed at all. The limiting factor is rather the data landscape.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

AWS Big Data

JULY 24, 2024

ActionIQ is a leading composable customer data (CDP) platform designed for enterprise brands to grow faster and deliver meaningful experiences for their customers. This post will demonstrate how ActionIQ built a connector for Amazon Redshift to tap directly into your data warehouse and deliver a secure, zero-copy CDP.

Data Warehouse 124

Data Warehouse Cost-Benefit Marketing Testing 124

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities. This makes sure the new data platform can meet current and future business goals.

Data Warehouse 113

Data Warehouse KPI Optimization Cost-Benefit 113

CIO Business Intelligence

OCTOBER 7, 2022

BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. BI encompasses numerous roles. Organization: Microsoft.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

datapine

MAY 21, 2019

In addition to increasing the price of deployment, setting up these data warehouses and processors also impacted expensive IT labor resources. These tools can easily merge different data sets on the fly without the need of restructuring databases or setting up a data warehouse. Lack of company-wide adoption.

Business Intelligence 183

Business Intelligence Cost-Benefit Dashboards ROI 183

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. This data needs to be seamlessly joined in the analytics he wants to provide to the researchers he will support. The Vision of a Discovery Data Warehouse.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Occam's Razor

MAY 20, 2013

Let's try to do that today with a very simple story, one that I hope will have much broader implications on your digital success measurement. So if you are ZQI, how should you measure success? That is what I mean by measuring real end-to-end success, about obsessing about real business profitability. Business As Usual.

Analytics 140

Analytics B2B Advertising Measurement 140

Laminar Security

JULY 19, 2023

To effectively protect sensitive data in the cloud, cyber security personnel must ensure comprehensive coverage across all their environments; wherever data travels, including cloud service providers (CSPs), data warehouses, and software-as-a-service (SaaS) applications.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Measurement 91

AWS Big Data

JANUARY 15, 2025

AWS Database Migration Service (AWS DMS) is used to securely transfer the relevant data to a central Amazon Redshift cluster. The data in the central data warehouse in Amazon Redshift is then processed for analytical needs and the metadata is shared to the consumers through Amazon DataZone.

IoT 110

IoT Machine Learning Metadata Data-driven 110

CIO Business Intelligence

MARCH 16, 2022

But honestly speaking, there exists no unique maturity model which measures the degree of digital transformation. The same goes for the adoption of data warehouse and business intelligence. The telecom sector prepares the data warehouse and business intelligence use cases even before they go live with their first customer.

Technology 115

Technology Digital Transformation Data Warehouse Business Intelligence 115

CIO Business Intelligence

MARCH 22, 2022

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Focus on a specific business problem to be solved.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Sales are measured down to a zip code territory level across product categories.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

SEPTEMBER 26, 2023

But because electricity consumption was easy to gauge, there was no urgency for measuring current and low voltage power flows. But the measuring solution was complex and required frequent manual adaptions as solar PV systems increased. Without real-time power measurements, estimated power values were being used.

Machine Learning 105

Machine Learning Forecasting Measurement Data Warehouse 105

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 93

Analytics Data Warehouse Data Lake Metadata 93

CIO Business Intelligence

SEPTEMBER 12, 2022

Data from that surfeit of applications was distributed in multiple repositories, mostly traditional databases. Fazal instructed his IT team to collect every bit of data and methodically determine its use later, rather than lose “precious” data in the rush to build a massive data warehouse. “We

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

Sisense

APRIL 17, 2020

Understanding the details is key, otherwise “digital transformation” will be merely a corporate buzzword that causes headaches, heartbreaks, and lost money instead of producing measurable improvements. Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

DataKitchen

APRIL 13, 2021

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Production Monitoring Only.

Testing 300

Testing Machine Learning Consulting Data Science 300

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

AWS Big Data

JULY 8, 2024

Amazon Redshift Serverless is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, simple, and secure analytics at scale. Amazon Redshift data sharing allows you to share data within and across organizations, AWS Regions, and even third-party providers, without moving or copying the data.

Data Warehouse 131

Data Warehouse IT Recreation/Entertainment Cost-Benefit 131

DataKitchen

JANUARY 3, 2022

There’s a recent trend toward people creating data lake or data warehouse patterns and calling it data enablement or a data hub. DataOps expands upon this approach by focusing on the processes and workflows that create data enablement and business analytics. DataOps Process Hub. Stop Firefighting.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. . BARC conclusion.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Occam's Razor

MARCH 10, 2015

Universal Analytics: T3: Measurement Protocol! Dimension Widening – hello sweet simple data from spreadsheets, data warehouses/CRM systems! Measurement Protocol – all your data are belong to us! You can send hit level data, primarily your refund data (if people return their orders).

Strategy 153

Strategy Analytics Measurement Business Analysis 153