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 In addition, scripts and EMR cluster configuration used for the benchmark can be found here. Benchmark Configuration.

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Data Warehouse Metadata Machine Learning Measurement 106

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 60

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.

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Data Lake Analytics Dashboards Metrics 113

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.

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AWS Big Data

FEBRUARY 16, 2024

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3).

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Data Lake Data Warehouse Testing Business Objectives 97

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. Cost Cloud services operate on a pay-as-you-go model, and estimating costs accurately can be challenging during a POC.

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Testing Data Warehouse Metrics Cost-Benefit 99

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. Cost-Effective. CDW Auto-Scaling Options.

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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.

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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.

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Data Warehouse Business Intelligence Structured Data Data Architecture 54

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

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Data Warehouse Testing Data Lake Data-driven 98

AWS Big Data

JULY 27, 2023

Amazon Redshift is a fully managed, scalable cloud data warehouse that accelerates your time to insights with fast, easy, and secure analytics at scale. Tens of thousands of customers rely on Amazon Redshift to analyze exabytes of data and run complex analytical queries, making it the widely used cloud data warehouse.

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Data Warehouse Analytics Metadata Dashboards 84

O'Reilly on Data

AUGUST 18, 2020

We’ll share why in a moment, but first, we want to look at a historical perspective with what happened to data warehouses and data engineering platforms. Lessons Learned from Data Warehouse and Data Engineering Platforms. Kubernetes and the cloud commoditize integration. for years after Spark 2.0

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Data Science Machine Learning Data Warehouse Deep Learning 355

AWS Big Data

MARCH 16, 2023

Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Together with price-performance , Amazon Redshift enables you to use your data to acquire new insights for your business and customers while keeping costs low.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

AWS Big Data

OCTOBER 18, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. As part of this workflow, the admin credentials are configured to rotate every 30 days automatically.

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Snapshot Management Data Warehouse Dashboards 83

Cloudera

OCTOBER 4, 2023

We can move to predictive fraud and breach prevention, greatly increasing the protection of customer data and financial assets. Without real-time analytics we won’t catch the threats until after they’ve caused significant damage. We can also benefit from real-time stock ticker analytics, and other highly monetizable data assets.

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Data Warehouse Experimentation Cost-Benefit Dashboards 83

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.

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Data Warehouse Dashboards Risk Management Risk 123

Cloudera

JANUARY 19, 2024

or higher on the public cloud. Getting started with the SQL AI Assistant Later in this blog we will walk you through the steps of how to configure your Cloudera environment to use the SQL AI Assistant with your supported LLM of choice. The SQL AI Assistant can be configured with many pre-trained models for better multi-lingual support.

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Data Warehouse Data Processing Optimization Modeling 71

AWS Big Data

JUNE 2, 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 analytic workloads. Deploy and configure Custom Auto Loader Framework to load files from Amazon S3 to Amazon Redshift.

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Metadata Data Warehouse Big Data Testing 110

AWS Big Data

JANUARY 8, 2024

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

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Analytics IoT Data-driven Snapshot 112

AWS Big Data

JUNE 28, 2023

For example, customers told us that they want to ingest streaming data into their data stores for doing analytics—all without delving into the complexities of ETL. They can connect to multiple data streams and pull data directly into Amazon Redshift without staging it in Amazon Simple Storage Service (Amazon S3).

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Analytics Data Warehouse Data Lake Data-driven 69

AWS Big Data

NOVEMBER 17, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze all your data to derive holistic insights about your business and your customers. Amazon Redshift now supports custom URLs or custom domain names for your data warehouse.

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Data Warehouse Management Software Strategy 102

AWS Big Data

NOVEMBER 28, 2023

As customers become more data driven and use data as a source of competitive advantage, they want to easily run analytics on their data to better understand their core business drivers to grow sales, reduce costs, and optimize their businesses.

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Data Warehouse Data-driven Machine Learning B2B 92

AWS Big Data

APRIL 4, 2024

Many enterprises are migrating their on-premises data stores to the AWS Cloud. During data migration, a key requirement is to validate all the data that has been moved from source to target. This data validation is a critical step, and if not done correctly, may result in the failure of the entire project.

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Data Quality Data Lake Data Warehouse Data-driven 62

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

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Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

JULY 18, 2022

Byrdak’s team serves as the sole IT department for about 15% of the food banks in Feeding America’s network, she says, doing everything from building their laptops to configuring their switches to supporting their ERP systems. We didn’t have basic things like a data warehouse. Analytics, CIO 100, Data Management

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Data Warehouse Dashboards Reporting Manufacturing 141

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

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Data Warehouse Cost-Benefit Metadata Data-driven 80

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. The table refresh can be full or incremental based on the configuration.

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Snapshot Data Processing Testing Data Warehouse 91

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3. save("wasbs:// @.blob.core.windows.net/output-CSV/20210831/")

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Data Lake Big Data Consulting Data Warehouse 84

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. Adding DataOps to ETL processes is the secret to eliminating errors and dramatically improving analytic cycle times.

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Testing Data Integration Data Warehouse Enterprise 130

Cloudera

JULY 21, 2022

As creators and experts in Apache Druid, Rill understands the data store’s importance as the engine for real-time, highly interactive analytics. Rill solves this with pipeline services and Rill Developer, a free SQL-based data modeler. Database Pain : Apache Druid is powerful but complex to configure, operate, and scale.

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Metrics Slice and Dice Data Warehouse Dashboards 82

AWS Big Data

DECEMBER 13, 2023

Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. usually a data warehouse) needs to reflect those changes in near real-time.

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AWS Big Data

NOVEMBER 9, 2023

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. Create boto3 client for Glue glue_client = boto3.client('glue',

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Data Warehouse Testing Data Quality Reporting 104

AWS Big Data

AUGUST 31, 2023

One of the major and essential parts in a data warehouse is the extract, transform, and load (ETL) process which extracts the data from different sources, applies business rules and aggregations and then makes the transformed data available for the business users. The following image shows the workflow.

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Data Warehouse Data-driven Testing Business Intelligence 82

AWS Big Data

MARCH 29, 2024

QuickSight periodically runs Amazon Athena queries to load query results to SPICE and then visualize the latest metric data. All of the resources are defined in a sample AWS Cloud Development Kit (AWS CDK) template. Aggregating metrics and slicing data by different dimensions such as job name can provide deeper insights.

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Metrics Visualization Dashboards Interactive 105

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

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Data mining Data-driven Statistics OLAP 144

AWS Big Data

MAY 17, 2023

Credit: Phil Goldstein Jerry Wang, Peloton’s Director of Data Engineering (left), and Evy Kho, Peloton’s Manager of Subscription Analytics, discuss how the company has benefited from using Amazon Redshift. One group performed extract, transform, and load (ETL) operations to take raw data and make it available for analysis.

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Data Warehouse Cost-Benefit Sales Data-driven 111

AWS Big Data

APRIL 25, 2024

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. As the queries finish running, an UNLOAD operation is invoked from the Redshift data warehouse to the S3 bucket in Account A.

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Metadata Data Processing Management Testing 73