Data Warehouse Stocks List

Data Warehouse Stocks Recent News

Date Stock Title
May 13 SNOW Wall Street Analysts Think Snowflake (SNOW) Is a Good Investment: Is It?
May 13 TDC JPMorgan, Global Payments And 2 Other Stocks Insiders Are Selling
May 13 SNOW Snowflake: Sell Ahead Of Earnings (Ratings Downgrade)
May 12 SNOW Snowflake: "Buyable" Is No Longer Enough - Growth Thesis Showing Cracks
May 10 TDC Insider Sale: Chief Customer Officer Michael Hutchinson Sells 18,500 Shares of Teradata Corp (TDC)
May 10 TDC Zacks.com featured highlights include Teradata, Frontdoor, Grand Canyon and Planet Labs
May 9 SNOW NuScale Power Corporation (SMR) Reports Q1 Loss, Misses Revenue Estimates
May 9 TDC Teradata (TDC) International Revenue Performance Explored
May 9 TDC 4 Top-Ranked Stocks With Rising P/E to Bet on
May 9 INFY Infosys and Formula E strike new partnership
May 9 INFY Infosys and Formula E Strike New Partnership to Enable Next-Gen Fan Experiences Powered by AI and Digital Innovations
May 9 SNOW 2 Millionaire-Maker Artificial Intelligence (AI) Stocks
May 8 SNOW Snowflake Inc. (SNOW) Stock Moves -0.82%: What You Should Know
May 8 SNOW Snowflake Unveils the Future of Enterprise AI, Apps, and Data at Sixth-Annual Data Cloud Summit
May 8 SNOW Option Trade On Struggling Snowflake Could Return More Than $1,000
May 8 INFY Infosys to Accelerate Yunex Traffic's ERP Transformation
May 8 TDC Increases to CEO Compensation Might Be Put On Hold For Now at Teradata Corporation (NYSE:TDC)
May 8 HCAT What To Expect From Health Catalyst's (HCAT) Q1 Earnings
May 7 SNOW Warren Buffett's AI Concerns Vs. Portfolio Potential: Berkshire's 3 AI Plays
May 7 SNOW The 3 Best AI Stocks to Buy in May 2024
Data Warehouse

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence. DWs are central repositories of integrated data from one or more disparate sources. They store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise.The data stored in the warehouse is uploaded from the operational systems (such as marketing or sales). The data may pass through an operational data store and may require data cleansing for additional operations to ensure data quality before it is used in the DW for reporting.
The typical extract, transform, load (ETL)-based data warehouse uses staging, data integration, and access layers to house its key functions. The staging layer or staging database stores raw data extracted from each of the disparate source data systems. The integration layer integrates the disparate data sets by transforming the data from the staging layer often storing this transformed data in an operational data store (ODS) database. The integrated data are then moved to yet another database, often called the data warehouse database, where the data is arranged into hierarchical groups, often called dimensions, and into facts and aggregate facts. The combination of facts and dimensions is sometimes called a star schema. The access layer helps users retrieve data.The main source of the data is cleansed, transformed, catalogued, and made available for use by managers and other business professionals for data mining, online analytical processing, market research and decision support. However, the means to retrieve and analyze data, to extract, transform, and load data, and to manage the data dictionary are also considered essential components of a data warehousing system. Many references to data warehousing use this broader context. Thus, an expanded definition for data warehousing includes business intelligence tools, tools to extract, transform, and load data into the repository, and tools to manage and retrieve metadata.

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