Dataconomy

FEBRUARY 13, 2025

Capgemini : SAP Databricks will enable seamless data integration, maximizing AI-driven business benefits, said Niraj Parihar, CEO of insights and data global business line at Capgemini. EY : Connecting data across the enterprise unlocks transformative business opportunities, said Hugh Burgin, EY-Databricks alliance leader.

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Data Silos AI AI Azure 113

ODSC - Open Data Science

JUNE 7, 2023

Since data is left in its raw form within the data lake, it’s easier for data teams to experiment with models and analysis techniques with greater flexibility. So let’s take a look at a few of the leading industry examples of data lakes. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos.

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Data Lakes Azure Data Warehouse Hadoop 52

phData

SEPTEMBER 15, 2023

Salesforce Sync Out is a crucial tool that enables businesses to transfer data from their Salesforce platform to external systems like Snowflake, AWS S3, and Azure ADLS. The Salesforce Sync Out connector moves Salesforce data directly into Snowflake, simplifying the data pipeline and reducing latency.

Data Warehouse 52

Data Warehouse Tableau Data Silos Analytics 52

Precisely

JUNE 12, 2023

Lack of agility : To take advantage of the newest advances in technology, insurers must have the capacity to use their data efficiently and effectively. Data silos create significant barriers to cloud transformation. CDC eliminates silos and opens the door to data-driven innovation.

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IBM Journey to AI blog

JANUARY 18, 2023

Instead, continuous data transformation is performed within the BLOB storage. This is an architecture that’s well suited for the cloud since AWS S3 or Azure DLS2 can provide the requisite storage. Data fabric: A mostly new architecture. The data fabric represents a new generation of data platform architecture.

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Data Lakes Data Warehouse Azure Apache Hadoop 52

IBM Journey to AI blog

FEBRUARY 2, 2023

This functionality provides access to data by storing it in an open format, increasing flexibility for data exploration and ML modeling used by data scientists, facilitating governed data use of unstructured data, improving collaboration, and reducing data silos with simplified data lake integration.

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The MLOps Blog

MAY 17, 2023

These pipelines assist data scientists in saving time and effort by ensuring that the data is clean, properly formatted, and ready for use in machine learning tasks. Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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