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5 Hardware Accelerators Every Data Scientist Should Leverage

Smart Data Collective

Among other benefits, this helps make sure global computing resources are used as efficiently as possible and allows data science companies to take advantage of these resources at a reduced cost. IBM Watson Studio. IBM Watson Studio is a very popular solution for handling machine learning and data science tasks.

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Business Intelligence Components and How They Relate to Power BI

BI Insight

The term Business Intelligence as we know it today was coined by an IBM computer science researcher, … Continue reading Business Intelligence Components and How They Relate to Power BI. When I decided to write this blog post, I thought it would be a good idea to learn a bit about the history of Business Intelligence.

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150+ Top Global Cloud Thought Leaders and Next Generation Leaders of 2021

Whizlabs

Rick is a well experienced CTO who can offer cloud computing strategies and services to reduce IT operational costs and thus improve the efficiency. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. Gordon Davey – Cloud Services Global Business Owner at SoftwareONE.

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Data Modelling for Analytics

The BAWorld

And therefore, to figure all this out, data analysts typically use a process known as data modeling. It forms the crucial foundation for turning raw data into actionable insights. Data modeling designs optimal data structures and relationships for storage, access, integrity, and analytics.

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The Data Journey: From Raw Data to Insights

Sisense

Traditionally all this data was stored on-premises, in servers, using databases that many of us will be familiar with, such as SAP, Microsoft Excel , Oracle , Microsoft SQL Server , IBM DB2 , PostgreSQL , MySQL , Teradata. Sisense provides instant access to your cloud data warehouses. Connect tables.

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Top Legacy Modernization Tools for 2024

Astera

Example: An online retailer moves its e-commerce application from an on-premises IBM WebSphere server using Java EE to AWS for better scalability and performance. The replatforming involves rehosting the application on AWS Elastic Beanstalk migrating the database from IBM DB2 to Amazon RDS for PostgreSQL.

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Business Intelligence, and How To Get It

Insight Software

These solutions led to large-scale adoption in the enterprise, which led to most of the major vendors being acquired by enterprise software providers like SAP, IBM and Oracle. In order to do this, you need a business data model that abstracts the complexity of the underlying ERP data schema into user-friendly business terms.