phData

MAY 25, 2023

Whether you’re a supply chain veteran or a newcomer, the examples we’re about to explore will illustrate the transformative potential of these advanced data platforms in today’s complex, data-driven supply chain landscape.

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IBM Journey to AI blog

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

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IBM Journey to AI blog

JANUARY 5, 2023

Taking an inventory of existing data assets and mapping current data flows. This step includes identifying and cataloging all data throughout the organization into a centralized or federated inventory list, thereby removing data silos. Learn more about the benefits of data fabric and IBM Cloud Pak for Data.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

ODSC - Open Data Science

SEPTEMBER 29, 2023

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. Tell me more about ECL.

Data Lakes 52

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IBM Journey to AI blog

JULY 3, 2024

Open is creating a foundation for storing, managing, integrating and accessing data built on open and interoperable capabilities that span hybrid cloud deployments, data storage, data formats, query engines, governance and metadata. Trusted, governed data is essential for ensuring the accuracy, relevance and precision of AI.

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Pickl AI

NOVEMBER 15, 2023

This centralization streamlines data access, facilitating more efficient analysis and reducing the challenges associated with siloed information. With all data in one place, businesses can break down data silos and gain holistic insights.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

Alation

JUNE 28, 2022

With a metadata management framework, your data analysts: Optimize search and findability: Create a single portal using role-based access for rapid data access based on job function and need. Establish business glossaries: Define business terms and create standard relationships for data governance.

Data Governance 52

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Alation

NOVEMBER 16, 2021

Data growth, shrinking talent pool, data silos – legacy & modern, hybrid & cloud, and multiple tools – add to their challenges. According to Gartner, “Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.”.

Data Governance 52

Data Governance Data Scientist SQL Data Silos 52

Pickl AI

OCTOBER 6, 2024

Common ETL tools include: Informatica PowerCenter: A widely used ETL tool that offers robust data integration capabilities. Talend: An open-source solution that provides various data management features. Microsoft SQL Server Integration Services (SSIS): A component of Microsoft SQL Server for data extraction and transformation.

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ETL Data Warehouse Data Quality Data Lakes 52

IBM Journey to AI blog

JANUARY 18, 2023

A data fabric can consist of multiple data warehouses, data lakes, IoT/Edge devices and transactional databases. It can include technologies that range from Oracle, Teradata and Apache Hadoop to Snowflake on Azure, RedShift on AWS or MS SQL in the on-premises data center, to name just a few.

Data Lakes 52

Data Lakes Data Warehouse Azure Apache Hadoop 52

Pickl AI

DECEMBER 4, 2023

Marketing Targeted Campaigns Increases campaign effectiveness and ROI Data silos leading to inconsistent information. Implementing integrated data management systems. 6,20000 Analytical skills, proficiency in Data Analysis tools (e.g., Adopting agile risk management frameworks. 12,00000 Programming (e.g.,

Data Analysis 52

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phData

SEPTEMBER 27, 2024

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.

Data Modeling 52

Data Modeling Data Models Apache Kafka Data Lakes 52

Flipboard

DECEMBER 4, 2024

Currently, organizations often create custom solutions to connect these systems, but they want a more unified approach that them to choose the best tools while providing a streamlined experience for their data teams. You can use Amazon SageMaker Lakehouse to achieve unified access to data in both data warehouses and data lakes.

Data Lakes 139

Data Lakes Data Warehouse AWS Database 139

Flipboard

MARCH 21, 2025

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.

SQL 136

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Alation

JUNE 24, 2022

In the catalog, active data governance empowers everyone with access to your ‘treasured’ data alongside crucial context so they know how to use it. Compose, Your SQL Compass. Our Intelligent SQL editor Compose enables even non-technical users to query the Data Cloud, extracing valuable answers.

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phData

NOVEMBER 13, 2023

Enhanced Collaboration: dbt Mesh fosters a collaborative environment by using cross-project references, making it easy for teams to share, reference, and build upon each other’s work, eliminating the risk of data silos.

Database 52

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Alation

NOVEMBER 22, 2022

This increases the costs and administrative burdens associated with using data. Coordinating services requires agencies to share the same data. However, the data silos and paper-based registers limit the ability to collaborate. What Are The Benefits Of Data Governance In The Public Sector? Improve data visibility.

Data Governance 52

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phData

JUNE 20, 2024

Another way to put it is that these users become data citizens within your organization. Data democratization is the crux of self-service analytics. To self-serve, users must be able to access reliable and governed data when they need it. Promoting Data Literacy Snowflake is an accessible platform.

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