Remove Data Pipeline Remove Data Silos Remove SQL
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The power of remote engine execution for ETL/ELT data pipelines

IBM Journey to AI blog

According to International Data Corporation (IDC), stored data is set to increase by 250% by 2025 , with data rapidly propagating on-premises and across clouds, applications and locations with compromised quality. This situation will exacerbate data silos, increase costs and complicate the governance of AI and data workloads.

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Data architecture strategy for data quality

IBM Journey to AI blog

What does a modern data architecture do for your business? A modern data architecture like Data Mesh and Data Fabric aims to easily connect new data sources and accelerate development of use case specific data pipelines across on-premises, hybrid and multicloud environments.

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Drowning in Data? A Data Lake May Be Your Lifesaver

ODSC - Open Data Science

A 2019 survey by McKinsey on global data transformation revealed that 30 percent of total time spent by enterprise IT teams was spent on non-value-added tasks related to poor data quality and availability. The data lake can then refine, enrich, index, and analyze that data. It truly is an all-in-one data lake solution.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Some modern CDPs are starting to incorporate these concepts, allowing for more flexible and evolving customer data models. It also requires a shift in how we query our customer data. Instead of simple SQL queries, we often need to use more complex temporal query languages or rely on derived views for simpler querying.

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Shaping the future: OMRON’s data-driven journey with AWS

AWS Machine Learning Blog

By analyzing their data, organizations can identify patterns in sales cycles, optimize inventory management, or help tailor products or services to meet customer needs more effectively. This tool democratizes data access across the organization, enabling even nontechnical users to gain valuable insights.

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Connect, share, and query where your data sits using Amazon SageMaker Unified Studio

Flipboard

Through this unified query capability, you can create comprehensive insights into customer transaction patterns and purchase behavior for active products without the traditional barriers of data silos or the need to copy data between systems. For the simplicity, we chose the SQL analytics project profile.

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Building a Data Culture with Snowflake: A Guide for CIOs

phData

This oftentimes leads to shadow IT processes and duplicated data pipelines. Data is siloed, and there is no singular source of truth but fragmented data spread across the organization. Establishing a data culture changes this paradigm. Data democratization is the crux of self-service analytics.