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Increase the Performance of Your Logical Data Fabric with Smart Query Acceleration

Data Virtualization

Organizations today need a data architecture that can overcome a double challenge: satisfy new business needs that require more agility and self-service capabilities, while at the same time dealing with a growing, diverse, and fast-moving data ecosystem (new data sources,

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How to Build a Performant Data Warehouse in Redshift

Sisense

Fundamentally they are different than transactional databases we’ve seen in the past, and before we jump into how to build your data warehouse, it’s important to understand that distinction. OLTP vs OLAP. First, we’ll dive into the two types of databases: OLAP (Online Analytical Processing) and OLTP (Online Transaction Processing).

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Migrate Microsoft Azure Synapse Analytics to Amazon Redshift using AWS SCT

AWS Big Data

To connect to the Azure Synapse source data warehouse, choose Add source. For Connection name , enter a name (for example, olap-azure-synapse ). He is deeply passionate about Data Architecture and helps customers build analytics solutions at scale on AWS. Choose Azure Synapse and choose Next.

Analytics 102
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What Is Embedded Analytics?

Jet Global

Data Environment First off, the solutions you consider should be compatible with your current data architecture. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Requirement ODBC/JDBC Used for connectivity.