Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

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Organizations that really want to take advantage of a higher performance, more agile and lower cost data warehouse architecture, should implement master data management (MDM) to improve data quality.

Federal agencies are faced with several daunting challenges exacerbated by the COVID-19 pandemic, that are causing them to take a second look at their IT investments and data strategies. Among them, ...

Since the 1990s, organisations have gathered, processed and analysed business information in data warehouses. The term “data warehouse” was introduced to the IT mainstream by American computer ...

The days are numbered for on-premise data warehousing solutions like Teradata, Oracle, SQL Server and DB2. Cloud data warehouse solutions like Google BigQuery, Snowflake, Redshift and Azure SQL/DW are ...

Data warehouses have been at the center of data analytics systems within many businesses and organizations for years, going as far back as the 1980s. With the growing adoption of cloud, data warehouse ...

Data warehouses are relational databases that act as data analysis tools, aggregating data from multiple departments of a business into one data store. Data warehouses are typically updated as an ...

Data warehouse virtualization startup Datometry Inc. today said it has raised $17 million in new funding to accelerate go-to-market activities with its partners Microsoft Azure, Amazon Web Services ...