Cloudera

DECEMBER 11, 2020

In this blog post, we compare Cloudera Data Warehouse (CDW) on Cloudera Data Platform (CDP) using Apache Hive-LLAP to EMR 6.0 (also powered by Apache Hive-LLAP) on Amazon using the TPC-DS 2.9 CDW runs the TPC-DS benchmark test suite more than 3x faster than EMR – 3 hours vs 11 hours (see Figure 1).

Data Warehouse 110

Data Warehouse Metadata Machine Learning Measurement 110

AWS Big Data

NOVEMBER 8, 2024

Amazon Redshift is a fast, fully managed cloud data warehouse that makes it cost-effective to analyze your data using standard SQL and business intelligence tools. However, if you want to test the examples using sample data, download the sample data. The sample files are ‘|’ delimited text files.

Data Lake 96

Data Lake Data Warehouse Optimization Testing 96

DataKitchen

AUGUST 19, 2021

Each data source is updated on its own schedule, for example, daily, weekly or monthly. The DataKitchen Platform ingests data into a data lake and runs Recipes to create a data warehouse leveraged by users and self-service data analysts. The third set of domains are cached data sets (e.g.,

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 246

Octopai

DECEMBER 26, 2022

Migrating a data fulfillment center (i.e. warehouse). Your data warehouse is not too different from an Amazon fulfillment center. Your old data warehouse has become deprecated. Or you predict significant cost and efficiency benefits from transferring to a different data warehousing platform.

Data Warehouse 98

Data Warehouse Cost-Benefit Recreation/Entertainment Reporting 98

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 90

Data Warehouse Measurement Reporting Testing 90

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. higher cost.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

AWS Big Data

MAY 30, 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. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 99

Data Warehouse Data Lake Cost-Benefit Structured Data 99

Jet Global

OCTOBER 19, 2020

To get the maximum benefit from the new system and to preserve seamless visibility to historical data, customers should consider deploying a data warehouse. While the concept of a data warehouse is often associated with complexity and expense, that need not be the case in today’s world.

Data Warehouse 98

Data Warehouse Analytics Reporting Testing 98

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 81

Data Lake Data Warehouse Data-driven Optimization 81

AWS Big Data

SEPTEMBER 10, 2024

With the launch of Amazon Redshift Serverless and the various provisioned instance deployment options , customers are looking for tools that help them determine the most optimal data warehouse configuration to support their Amazon Redshift workloads. The following image shows the process flow.

Testing 107

Testing Snapshot Data Warehouse Metrics 107

AWS Big Data

MARCH 10, 2025

Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume. The following screenshots show the elapsed time breakdown for each test.

Optimization 68

Optimization Data Warehouse Data-driven Testing 68

DataKitchen

NOVEMBER 20, 2021

Many organizations take weeks to procure and prep data sets. A DataOps Engineer can make test data available on demand. If we can provide shortcuts to members of the data team, we can help improve their productivity. . We have data profiling tools that we run to compare versions of datasets.

Testing 246

Testing Machine Learning Data Warehouse Analytics 246

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 98

Data Warehouse Data Processing Data Lake Management 98

AWS Big Data

NOVEMBER 22, 2024

Now, with support for dbt Cloud, you can access a managed, cloud-based environment that automates and enhances your data transformation workflows. This upgrade allows you to build, test, and deploy data models in dbt with greater ease and efficiency, using all the features that dbt Cloud provides.

Data Lake 83

Data Lake Data Warehouse Cost-Benefit Data Transformation 83

Cloudera

MARCH 2, 2022

Now that more and more data warehousing is done in the cloud, much of that in the Cloudera Data Warehouse data service, performance improvement directly equates to cost savings. A recent benchmark by a third party shows how Cloudera has the best price-performance on the cloud data warehouse market.

Data Warehouse 89

Data Warehouse Optimization Analytics Sales 89

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. To test this, let’s ask Amazon Q to “delete data from web_sales table.”

Metadata 96

Metadata Sales Data Warehouse Optimization 96

Cloudera

APRIL 3, 2023

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services.

Data Warehouse 82

Data Warehouse Snapshot Metadata Cost-Benefit 82

CIO Business Intelligence

DECEMBER 11, 2024

They must also select the data processing frameworks such as Spark, Beam or SQL-based processing and choose tools for ML. Based on business needs and the nature of the data, raw vs structured, organizations should determine whether to set up a data warehouse, a Lakehouse or consider a data fabric technology.

Management 111

Management Data Governance Data Science Reporting 111

DataKitchen

AUGUST 3, 2021

The past decades of enterprise data platform architectures can be summarized in 69 words. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. The organizational concepts behind data mesh are summarized as follows.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

DataKitchen

AUGUST 27, 2021

They mastered hundreds of data sets, serving thousands of people, with very few errors or missed SLAs (service level agreements). The Otezla team built a system with tens of thousands of automated tests checking data and analytics quality. Has the data arrived on time? Is the quantity of data correct?

Analytics 246

Analytics Sales Testing Cost-Benefit 246

AWS Big Data

OCTOBER 23, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that lets you analyze your data at scale. Amazon Redshift Serverless lets you access and analyze data without the usual configurations of a provisioned data warehouse. In her spare time, Blessing loves travels and adventures.

Data Warehouse 89

Data Warehouse Metrics Broadcasting Dashboards 89

AWS Big Data

JULY 27, 2023

Amazon Redshift is a widely used, fully managed, petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift RA3 with managed storage is the newest instance type for Provisioned clusters.

Testing 71

Testing Data Warehouse Data Processing Snapshot 71

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 270

Business Intelligence Dashboards Data Warehouse Sales 270

AWS Big Data

NOVEMBER 26, 2024

This post was co-written with Dipankar Mazumdar, Staff Data Engineering Advocate with AWS Partner OneHouse. Data architecture has evolved significantly to handle growing data volumes and diverse workloads. In case you don’t have sample data available for testing, we provide scripts for generating sample datasets on GitHub.

Metadata 94

Metadata Data Lake Snapshot Data Warehouse 94

DataKitchen

NOVEMBER 4, 2021

These limited-term databases can be generated as needed from automated recipes (orchestrated pipelines and qualification tests) stored and managed within the process hub. . The process hub capability of the DataKitchen Platform ensures that those processes that act upon data – the tests, the recipes – are shareable and manageable.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

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

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 63

Data Warehouse Dashboards Testing Visualization 63

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 87

Data Warehouse Sales Visualization Data Processing 87

CIO Business Intelligence

NOVEMBER 7, 2024

If we understand the data better and derive better insights, it enables us to offer better products and services at greater speed. We have modernized most of our data warehouses, we have put in new tools and capabilities, and that’s great, because now we’re at this next inflection point of technology with gen AI.

Insurance 120

Insurance Experimentation Testing Technology 120

AWS Big Data

NOVEMBER 29, 2023

As part of the Talent Intelligence Platform Eightfold also exposes a data hub where each customer can access their Amazon Redshift-based data warehouse and perform ad hoc queries as well as schedule queries for reporting and data export. Many customers have implemented Amazon Redshift to support multi-tenant applications.

Metadata 110

Metadata Data Warehouse Analytics Data Analytics 110

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 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 109

Data Warehouse Cost-Benefit Dashboards Optimization 109

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 92

Sales Metadata Enterprise Testing 92

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 110

Data Warehouse Cost-Benefit Marketing Testing 110

Wayne Yaddow

FEBRUARY 18, 2025

Introduction Data transformations and data conversions are crucial to ensure that raw data is organized, processed, and ready for useful analysis. However, these two processes are essentially distinct, and their testing needs differ in manyways.

Testing 52

Testing Data Transformation Data-driven Data Quality 52

AWS Big Data

DECEMBER 20, 2024

You can now generate data integration jobs for various data sources and destinations, including Amazon Simple Storage Service (Amazon S3) data lakes with popular file formats like CSV, JSON, and Parquet, as well as modern table formats such as Apache Hudi , Delta , and Apache Iceberg.

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Data Integration Visualization Data Processing Data Lake 93

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 99

Data Warehouse KPI Optimization Cost-Benefit 99