O'Reilly on Data

FEBRUARY 19, 2021

Some of these are emerging topics and others are developments on existing concepts, but all of them will inform our thinking in the coming year. With more businesses migrating their data infrastructure to the cloud, as well as the increase of open source projects driving innovation in cloud data lakes, these will remain on the radar in 2021.

Data Lake 362

Data Lake Machine Learning Data Warehouse Modeling 362

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Delta Lake doesn’t have a specific concept for incremental queries.

Data Lake 121

Data Lake Data Warehouse Visualization Snapshot 121

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend data integration software offers an open and scalable architecture and can be integrated with multiple data warehouses, systems and applications to provide a unified view of all data. Its code generation architecture uses a visual interface to create Java or SQL code.

Management 324

Management Data Warehouse Data Quality Data Integration 324

AWS Big Data

AUGUST 15, 2024

Unlocking the true value of data often gets impeded by siloed information. Traditional data management—wherein each business unit ingests raw data in separate data lakes or warehouses—hinders visibility and cross-functional analysis. Business units access clean, standardized data.

Data Lake 108

Data Lake Data Warehouse Data Governance Publishing 108

AWS Big Data

NOVEMBER 7, 2024

BladeBridge offers a comprehensive suite of tools that automate much of the complex conversion work, allowing organizations to quickly and reliably transition their data analytics capabilities to the scalable Amazon Redshift data warehouse. times better price performance than other cloud data warehouses.

Data Warehouse 96

Data Warehouse Reporting Big Data Data Lake 96

CIO Business Intelligence

DECEMBER 20, 2024

Chief among these is United ChatGPT for secure employee experimental use and an external-facing LLM that better informs customers about flight delays, known as Every Flight Has a Story, that has already boosted customer satisfaction by 6%, Birnbaum notes. Historically United storytellers had to manually edit templates, which took time.

IT 131

IT Unstructured Data Experimentation Data Lake 131

AWS Big Data

NOVEMBER 27, 2024

While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis.

Data Warehouse 93

Data Warehouse Analytics Testing Sales 93

AWS Big Data

DECEMBER 15, 2023

With the exponential growth of data, companies are handling huge volumes and a wide variety of data including personally identifiable information (PII). PII is a legal term pertaining to information that can identify, contact, or locate a single person. For our solution, we use Amazon Redshift to store the data.

Data Lake 115

Data Lake Data Warehouse Big Data Structured Data 115

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

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

datapine

MAY 29, 2019

Effective decision-making processes in business are dependent upon high-quality information. That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

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

JANUARY 6, 2025

Amazon AppFlow bridges the gap between Google applications and Amazon Redshift, empowering organizations to unlock deeper insights and drive data-informed decisions. In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup.

Analytics 94

Analytics Data Warehouse Big Data Metrics 94

datapine

MAY 9, 2019

Such jargon leads to business intelligence buzzwords that can dilute the meaning of important information. In his book, Waitzkin states that the best chess players are those that can take in the most information in a short span of time. However, it can only process so much information at any one time and requires a lot of energy.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

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 96

Metadata Sales Data Warehouse Optimization 96

David Menninger's Analyst Perspectives

DECEMBER 29, 2022

Organizations conduct data analysis in many ways. The process can include multiple spreadsheets, applications, desktop tools, disparate data systems, data warehouses and analytics solutions. This creates difficulties for management to provide and maintain updated information across multiple departments.

Business Intelligence 200

Business Intelligence Analytics Data Warehouse Software 200

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., Conclusion.

Data Warehouse 246

Data Warehouse Data Lake Manufacturing Testing 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. For more information, refer to Amazon Redshift clusters.

Data Warehouse 89

Data Warehouse Metrics Broadcasting Dashboards 89

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

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

AWS Big Data

AUGUST 22, 2024

In this post, we discuss how the Kaplan data engineering team implemented data integration from the Salesforce application to Amazon Redshift. Solution overview The high-level data flow starts with the source data stored in Amazon S3 and then integrated into Amazon Redshift using various AWS services.

Data Warehouse 114

Data Warehouse Data Lake Data Integration Management 114

AWS Big Data

NOVEMBER 22, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that you can use to analyze your data at scale. For more information, see Example policy for using GetClusterCredentials. She has helped many customers build large-scale data warehouse solutions in the cloud and on premises.

Data Warehouse 92

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 92

AWS Big Data

NOVEMBER 14, 2024

You can learn how to query Delta Lake native tables through UniForm from different data warehouses or engines such as Amazon Redshift as an example of expanding data access to more engines. For more information about the table protocol versions, refer to What is a table protocol specification? Appendix 1.

Metadata 110

Metadata Data Warehouse Big Data Data Lake 110

datapine

SEPTEMBER 27, 2022

But before we do, let’s explore some interesting SQL facts: SQL assists in the structuring and management of information in a database, in addition to conducting searches for information using structures. 11) “Data Analysis Using SQL and Excel, 2nd Edition” by Gordon S.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

David Menninger's Analyst Perspectives

NOVEMBER 30, 2021

It offers more than 200 connectors, more than 200 enterprise cloud computing and application adapters, and more than 30 non-relational structured query language databases, relational database management systems and data warehouses.

Analytics 179

Analytics Data Warehouse Business Intelligence Software 179

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Be open-minded about your data sources in this step – all departments in your company, sales, finance, IT, etc.,

IT 317

IT Statistics KPI Data-driven 317

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. For further information about XTable, see the project’s official website.

Metadata 94

Metadata Data Lake Snapshot Data Warehouse 94

AWS Big Data

MAY 2, 2024

However, this new feature resolves that issue by enabling data engineers and developers to seamlessly integrate their development work within VS Code, enhancing their workflow efficiency. Set up a Amazon Redshift or Amazon Redshift serverless data warehouse. Virginia)).

Visualization 107

Visualization Data Warehouse Data-driven Management 107

Smart Data Collective

MAY 16, 2022

Data management software helps in reducing the cost of maintaining the data by helping in the management and maintenance of the data stored in the database. It also helps in providing visibility to data and thus enables the users to make informed decisions. They are a part of the data management system.

Management 136

Management Data mining Data Warehouse Data Collection 136

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

CIO Business Intelligence

JULY 18, 2022

One organization, Feeding America, the country’s largest domestic hunger relief organization, is turning to information technology to help, having hired three years ago its first IT chief to transform how its network of 200 food banks serve the food insecure. We didn’t have basic things like a data warehouse.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

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. Producing labels is another, equally deep topic.

IT 364

IT Testing Experimentation Software 364

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. He has been helping companies with Data Warehouse solutions since 2007.

Optimization 68

Optimization Data Warehouse Data-driven Testing 68

Analytics Vidhya

APRIL 3, 2023

Introduction Companies can access a large pool of data in the modern business environment, and using this data in real-time may produce insightful results that can spur corporate success. Real-time dashboards such as GCP provide strong data visualization and actionable information for decision-makers.

Dashboards 319

Dashboards Visualization Analytics Data Warehouse 319

Smart Data Collective

JUNE 6, 2021

In the simplest of terms, the latter refers to a system that examines large bodies of data with the goal of uncovering trends, patterns, correlations and other helpful information. What is big data used for? Customer experience is another key area that can benefit from big data analytics. Big data analytics advantages.

Big Data 137

Big Data Data Analytics Analytics Cost-Benefit 137

Smart Data Collective

OCTOBER 17, 2022

Pipeline, as it sounds, consists of several activities and tools that are used to move data from one system to another using the same method of data processing and storage. Data pipelines automatically fetch information from various disparate sources for further consolidation and transformation into high-performing data storage.

Data Warehouse 145

Data Warehouse Data Lake Visualization Big Data 145