Data Warehouse Stocks List

Data Warehouse Stocks Recent News

Date Stock Title
Nov 15 SNOW Mizuho Securities Reiterates $165 Price Target and Outperform Rating for Snowflake Inc. (SNOW) Amid Positive AI Adoption Trends
Nov 15 SNOW Stocks to watch next week: Nvidia, Walmart, Imperial Brands, JD Sports and Royal Mail
Nov 15 SNOW Snowflake Inc (SNOW): New AI Innovations to Boost Enterprise Decision-Making
Nov 15 SNOW Insights Into Snowflake (SNOW) Q3: Wall Street Projections for Key Metrics
Nov 15 SNOW Palo Alto, Salesforce among stocks seeing price target raised at Mizuho ahead of earnings
Nov 15 SNOW My Size, Inc. (MYSZ) Reports Q3 Loss, Misses Revenue Estimates
Nov 14 SNOW Snowflake Inc. (NYSE:SNOW) Enhances Platform with AI Tools and New Features, Unveiled at BUILD 2024
Nov 14 SNOW Elastic (ESTC) Earnings Expected to Grow: What to Know Ahead of Next Week's Release
Nov 14 SNOW Google Parent Alphabet Sold 79% of Its Stake in Snowflake and Is Piling Into This Supercharged Artificial Intelligence (AI) Stock Instead
Nov 14 SNOW Snowflake Inc. (SNOW): Launches ‘Snowflake Intelligence’ to Empower Enterprises with AI-Driven Data Insights and Actionable Business Solutions
Nov 14 SNOW Snowflake Inc. (SNOW): Added to D.A. Davidson’s ‘Gold Trophy’ List as Cloud Data Leader Amid AI-Driven Growth
Nov 14 SNOW Thrive Capital in Talks to Invest About $1 Billion in Databricks
Nov 13 TDC Teradata to Present at Upcoming Investor Conferences
Nov 13 SNOW Snowflake stock gains on analysts optimism post 'Build' event
Nov 13 SNOW Earnings Preview: Snowflake Inc. (SNOW) Q3 Earnings Expected to Decline
Nov 13 SNOW Jim Cramer Says Intuitive Surgical Is A 'Fantastic, Expensive Company'
Nov 13 INFY 73% of enterprises have launched AI, including generative AI, across marketing with 52% of deployments achieving business value: Infosys CMO Radar
Nov 13 SNOW KeyBanc Lowers Snowflake Inc. (SNOW) Price Target to $150 Amid Short-Term Challenges but Maintains ‘Overweight’ Rating
Nov 12 SNOW Snowflake Inc. (SNOW) Ascends While Market Falls: Some Facts to Note
Nov 12 SNOW Snowflake Strengthens Leadership in Cross-Cloud Collaboration for Enterprise Data and AI
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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