Jet Global

APRIL 19, 2021

Executives increasingly rely on data and advanced analytics to make business decisions. They also need the ability to access and parse that data faster and in more creative ways. Meanwhile, the data that businesses have access to and the number of systems producing that data are growing at lightspeed.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98

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. You can run and scale analytics in seconds on all your data, without having to manage your data warehouse infrastructure.

Analytics 65

Analytics Data Warehouse Optimization Metrics 65

AWS Big Data

NOVEMBER 1, 2023

In this post, we show how you can use the bring your own model (BYOM) functionality of Redshift ML to implement versioning of Redshift ML models. We use local inference to implement model versioning as part of operationalizing ML models. About the Authors Rohit Bansal is an Analytics Specialist Solutions Architect at AWS.

Modeling 96

Modeling Data Warehouse Machine Learning Recreation/Entertainment 96

Cloudera

JULY 16, 2021

Did you know Cloudera customers, such as SMG and Geisinger , offloaded their legacy DW environment to Cloudera Data Warehouse (CDW) to take advantage of CDW’s modern architecture and best-in-class performance? The Data Warehouse on Cloudera Data Platform provides easy to use self-service and advanced analytics use cases at scale.

Data Warehouse 115

Data Warehouse Data Processing Management Testing 115

AWS Big Data

NOVEMBER 17, 2023

Amazon Redshift is a cloud data warehousing service that provides high-performance analytical processing based on a massively parallel processing (MPP) architecture. Building and maintaining data pipelines is a common challenge for all enterprises. For more information, refer SQL models.

Snapshot 89

Snapshot Data Processing Testing Data Warehouse 89

AWS Big Data

OCTOBER 17, 2023

With Amazon Redshift, you can use standard SQL to query data across your data warehouse, operational data stores, and data lake. Migrating a data warehouse can be complex. You have to migrate terabytes or petabytes of data from your legacy system while not disrupting your production workload.

Data Warehouse 84

Data Warehouse Data Processing Data Lake Management 84

AWS Big Data

APRIL 10, 2024

When data is used to improve customer experiences and drive innovation, it can lead to business growth,” – Swami Sivasubramanian , VP of Database, Analytics, and Machine Learning at AWS in With a zero-ETL approach, AWS is helping builders realize near-real-time analytics.

Data Warehouse 90

Data Warehouse Analytics Metrics Snapshot 90

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. Data & analytics users are surprisingly patient.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Analytics Specialist based out of Northern Virginia, specialized in the design and implementation of analytics and data lake solutions.

Data Warehouse 83

Data Warehouse Management Snapshot Data Lake 83

Jet Global

NOVEMBER 2, 2020

Planning for an ERP system implementation can be a daunting undertaking. Interestingly, you can address many of them very effectively with a data warehouse. The Data Warehouse Solution. Not only does it solve the problem of historical ERP data, but it also serves an ongoing purpose.

Data Warehouse 83

Data Warehouse Cost-Benefit Reporting Recreation/Entertainment 83

AWS Big Data

APRIL 6, 2023

However, our consumers pushed us for better query performance and enhanced analytical capabilities. We realized we needed a data warehouse to cater to all of these consumer requirements, so we evaluated Amazon Redshift. This way, our existing data lake consumers could easily transition to Amazon Redshift.

Data Warehouse 83

Data Warehouse Data Lake Management Data-driven 83

AWS Big Data

JUNE 21, 2023

Deriving business insights by identifying year-on-year sales growth is an example of an online analytical processing (OLAP) query. These types of queries are suited for a data warehouse. Amazon Redshift is fully managed, scalable, cloud data warehouse. This dimensional model will be built in Amazon Redshift.

Data Warehouse 78

Data Warehouse Data Lake OLAP Cost-Benefit 78

DataKitchen

AUGUST 27, 2021

DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. DataOps Success Story.

Analytics 246

Analytics Sales Testing Cost-Benefit 246

AWS Big Data

FEBRUARY 12, 2024

Objective Gupshup wanted to build a messaging analytics platform that provided: Build a platform to get detailed insights, data, and reports about WhatsApp/SMS campaigns and track the success of every text message sent by the end customers. Incremental analytics is the main reason for Gupshup to use Redshift.

Data Warehouse 98

Data Warehouse Analytics Snapshot Cost-Benefit 98

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 90

Data Warehouse Data Lake Analytics Data Science 90

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 59

Data Warehouse Dashboards Testing Visualization 59

AWS Big Data

SEPTEMBER 22, 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. Ahmed Shehata is a Senior Analytics Specialist Solutions Architect at AWS based on Toronto.

Data Warehouse 101

Data Warehouse OLAP Risk Online Analytical Processing 101

Jet Global

MAY 28, 2019

Whether the reporting is being done by an end user, a data science team, or an AI algorithm, the future of your business depends on your ability to use data to drive better quality for your customers at a lower cost. So, when it comes to collecting, storing, and analyzing data, what is the right choice for your enterprise?

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 78

Data Warehouse Sales Visualization Data Processing 78

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. Modern analytics is much wider than SQL-based data warehousing. Fault tolerance is built in. Any hardware failures are automatically replaced.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

Cloudera

FEBRUARY 9, 2021

This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability. In this way, the analytic applications are able to turn the latest data into instant business insights. Low Maintenance.

Data Warehouse 67

Data Warehouse Cost-Benefit Metadata Management 67

CDW Research Hub

JULY 22, 2019

Companies today are struggling under the weight of their legacy data warehouse. These old and inefficient systems were designed for a different era, when data was a side project and access to analytics was limited to the executive team. To do so, these companies need a modern data warehouse, such as Snowflake.

Data Warehouse 54

Data Warehouse Business Intelligence Structured Data Data Architecture 54

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. S3 data lake – Contains the web activity and leads datasets.

Data Lake 85

Data Lake Data Warehouse Marketing Management 85

Jet Global

OCTOBER 21, 2022

Software companies that do it well by embedding powerful analytics capabilities within their products stand to gain market share, increasing customer loyalty and earning positive reviews from business users. Protect Your Application with These 7 Hallmarks of a Secure Analytics Solution. What Story Is Your Data Telling?

Analytics 52

Analytics Software Visualization Dashboards 52

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Whether or not they begin with on-premises systems, such modernization efforts often involve the implementation of hybrid configurations.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Occam's Razor

MARCH 10, 2015

In a Q&A after a keynote a couple of years ago, I was asked: " When will traditional business analysis subsume the web analytics silo? " " My reply: " All business will ultimately be digital, so, if anything, web analytics will subsume business analysis! " Universal Analytics: What the heck is it?

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Strategy Analytics Measurement Business Analysis 151

Smarten

DECEMBER 24, 2019

The Smarten team provided dedicated services and support to understand their functional requirements, and to design and implement a centralized data warehouse, ETL, and front-end object development. Download the Case Study.

Insurance 52

Insurance Analytics Data Warehouse Management 52

AWS Big Data

DECEMBER 5, 2023

This cut down significantly on analytical turnaround times. The CARTO Analytics Toolbox for Redshift is composed of a set of user-defined functions and procedures organized in a set of modules based on the functionality they offer.

Measurement 81

Measurement Dashboards Data Warehouse Analytics 81

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Prerequisites To complete the integration, you need a Redshift Serverless data warehouse.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

CIO Business Intelligence

SEPTEMBER 10, 2022

American Airlines, the world’s largest airline, is turning to data and analytics to minimize disruptions and streamline operations with the aim of giving travelers a smoother experience. We moved our major data platforms to the cloud and implemented data hubs for Customer and Operations,” Mohan says.

Analytics 138

Analytics Machine Learning Digital Transformation Data Warehouse 138

AWS Big Data

APRIL 4, 2024

Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores. These campaigns are optimized by using an AI-based bid process that requires running hundreds of analytical queries per campaign.

Big Data 65

Big Data Data Warehouse Advertising OLAP 65

AWS Big Data

JUNE 28, 2023

In this post, we provide step-by-step guidance on how to get started with near-real time operational analytics using this feature. There are two broad approaches to analyzing operational data for these use cases: Analyze the data in-place in the operational database (e.g.

Data Warehouse 83

Data Warehouse Analytics Metrics Dashboards 83

AWS Big Data

NOVEMBER 15, 2023

BMW Cloud Efficiency Analytics (CLEA) is a homegrown tool developed within the BMW FinOps CoE (Center of Excellence) aiming to optimize and reduce costs across all these accounts. In this post, we explore how the BMW Group FinOps CoE implemented their Cloud Efficiency Analytics tool (CLEA), powered by Amazon QuickSight and Amazon Athena.

Dashboards 93

Dashboards Analytics Metadata Optimization 93

Smarten

DECEMBER 3, 2023

Adopting Augmented Analytics: How to Get Started Gartner has predicted that, in the future ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’ What do you want to achieve by implementing an augmented analytics solution?

Analytics 40

Analytics Data Warehouse Metrics Interactive 40

BizAcuity

SEPTEMBER 5, 2022

It is evident that the future of igaming (for the Operators as well as the Game Studios) is being shaped by analytics. However, many Game Studios struggle with implementing analytics tools and solutions for their business for two main reasons-. Inability to get player level data from the operators.

Visualization 98

Visualization Analytics Data Warehouse Consulting 98

AWS Big Data

MARCH 27, 2024

Amazon Redshift is 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. For a POC on Amazon Redshift, we recommend a three-phase process of discovery, implementation, and evaluation.

Testing 98

Testing Data Warehouse Metrics Cost-Benefit 98

CDW Research Hub

MARCH 22, 2019

Siloed data-storage systems were preventing a large and fast-growing franchisor and operator of fitness centers from gaining important insights to drive further business growth. Access to and visibility of critical customer data was unleashed with the help of Sirius. empowering franchisees to use data for business decision-making, and.

Data Warehouse 66

Data Warehouse Prescriptive Analytics Statistics Big Data 66