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.

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Data Warehouse Data Lake OLAP Cost-Benefit 78

Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Why Use an Interactive Analytics Application?

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Analytics Vidhya

AUGUST 18, 2022

The post Building a simple Flask App using Docker vs Code appeared first on Analytics Vidhya. Dockers help prevent this by ensuring the application runs on any machine if it works on yours. Simply put, if your job as […].

Data Science 373

Data Science Publishing Analytics IT 373

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.

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Data Warehouse Cost-Benefit OLAP Business Intelligence 98

AWS Big Data

APRIL 19, 2023

With the right analytics approach, this is possible. In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments.

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AWS Big Data

FEBRUARY 12, 2024

Across verticals, thousands of large and small businesses in emerging markets use Gupshup to build conversational experiences across marketing, sales, and support. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

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Data Warehouse Analytics Snapshot Cost-Benefit 98

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. About the Authors Sandeep Bajwa is a Sr.

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Data Warehouse Management Snapshot Data Lake 83

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.

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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.

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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.

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Data Warehouse IT Data Architecture Measurement 52

AWS Big Data

NOVEMBER 29, 2023

Eightfold is a leader in AI products for enterprises to build on their talent’s existing skills. The Eightfold Talent Intelligence Platform powered by Amazon Redshift and Amazon QuickSight provides a full-fledged analytics platform for Eightfold’s customers. Eightfold provides this analytics experience to hundreds of customers today.

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Metadata Data Warehouse Analytics Data Analytics 102

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Data warehouse vs. databases.

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction.

Data Warehouse 91

Data Warehouse Cost-Benefit Consulting Interactive 91

Analytics Vidhya

JUNE 15, 2022

Azure Data Factory […]. The post Building an ETL Data Pipeline Using Azure Data Factory appeared first on Analytics Vidhya. It helps organizations across the globe in planning marketing strategies and making critical business decisions.

Data Science 223

Data Science Publishing Strategy Marketing 223

Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

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Data Warehouse Metadata Digital Transformation Unstructured Data 324

AWS Big Data

NOVEMBER 13, 2023

Join the AWS Analytics team at AWS re:Invent this year, where new ideas and exciting innovations come together. For those in the data world, this post provides a curated guide for all analytics sessions that you can use to quickly schedule and build your itinerary. Watch this space for additional details.

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Analytics Data Lake Data Warehouse Data-driven 110

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. A data warehouse is one of the components in a data hub.

Analytics 70

Analytics Data Warehouse Data Lake Metadata 70

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?

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Data Warehouse Reporting Business Intelligence Sales 85

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. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing). OLTP vs OLAP.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

DataKitchen

AUGUST 27, 2021

DataOps is fundamentally about eliminating errors, reducing cycle time, building trust and increasing agility. Marketing invests heavily in multi-level campaigns, primarily driven by data analytics. This analytics function is so crucial to product success that the data team often reports directly into sales and marketing.

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Analytics Sales Testing Cost-Benefit 246

AWS Big Data

MARCH 27, 2024

This is underpinned by building a complete patient profile that enables claim analysts to identify patterns, trends, potential gaps in care, and adherence to care plans. The solution proposed in this post follows a zero-ETL approach to data integration to facilitate near real-time analytics and deliver a more personalized patient experience.

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Data Analytics Analytics Data Warehouse Data Lake 89

AWS Big Data

NOVEMBER 9, 2023

Building a data platform involves various approaches, each with its unique blend of complexities and solutions. In this post, we delve into a case study for a retail use case, exploring how the Data Build Tool (dbt) was used effectively within an AWS environment to build a high-performing, efficient, and modern data platform.

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Data Warehouse Testing Data Quality Reporting 103

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.

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Data Warehouse Dashboards Testing Visualization 59

DataKitchen

JANUARY 3, 2022

Their business unit colleagues ask an endless stream of urgent questions that require analytic insights. Business analysts must rapidly deliver value and simultaneously manage fragile and error-prone analytics production pipelines. In business analytics, fire-fighting and stress are common. Analytics Hub and Spoke.

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Business Analytics Analytics Testing Dashboards 245

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. The decoupled compute and storage architecture of Amazon Redshift enables you to build highly scalable, resilient, and cost-effective workloads.

Analytics 94

Analytics Data Warehouse Testing Dashboards 94

Sisense

MARCH 19, 2019

To extract the maximum value from your data, it needs to be accessible, well-sorted, and easy to manipulate and store. Amazon’s Redshift data warehouse tools offer such a blend of features, but even so, it’s important to understand what it brings to the table before making a decision to integrate the system.

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Data Warehouse Cost-Benefit Business Intelligence Data Processing 94

CIO Business Intelligence

JUNE 29, 2022

Insights hidden in your data are essential for optimizing business operations, finetuning your customer experience, and developing new products — or new lines of business, like predictive maintenance. And as businesses contend with increasingly large amounts of data, the cloud is fast becoming the logical place where analytics work gets done.

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Data Lake Analytics Data Warehouse Machine Learning 107

AWS Big Data

SEPTEMBER 19, 2023

This post discusses how Chime utilizes AWS Glue , Amazon Kinesis , Amazon DynamoDB , and Amazon SageMaker to build an online, serverless fraud detection solution — the Chime Streaming 2.0 However, our legacy data warehouse-based solution was not equipped for this challenge.

Analytics 77

Analytics Risk Big Data Machine Learning 77

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.

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Data Warehouse Data Lake Management Data-driven 83

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

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Data Lake Management Metrics Data Warehouse 101

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. In fact, many commonly accepted best practices for designing OLTP databases could well be considered worst practices for these purely analytical systems. Analytical. Business Focus.

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Data Warehouse Modeling Sales Data Lake 52

Sisense

JANUARY 15, 2021

Implementing analytics at your company is a multi-team job. In Building Bridges , we focus on helping end users, app builders, and data experts select and roll out analytics platforms easily and efficiently. We live in a world driven by data. Situation #1: Rapidly growing startup asking more business questions.

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Analytics Data-driven Business Intelligence Visualization 75

AWS Big Data

NOVEMBER 13, 2023

Gameskraft holds the Guinness World Record for organizing the world’s largest online rummy tournament, and is one of India’s first gaming companies to build an ISO certified platform. Amazon Redshift use case Gameskraft used Amazon Redshift RA3 instances with Redshift Managed Storage (RMS) for their data warehouse.

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Data Warehouse Data Lake Analytics Data Science 90

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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Data Lake Sales Data Warehouse Snapshot 100

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. 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.

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Data Warehouse Cost-Benefit Metadata Management 67

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.

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Data Analytics Data Warehouse Analytics Data Processing 52