phData

SEPTEMBER 20, 2023

A data mesh is a decentralized approach to data architecture that’s been gaining traction as a solution to the challenges posed by large and complex data ecosystems. It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration.

Data Silos 52

Data Silos Database Data Quality Data Engineering 52

AWS Machine Learning Blog

DECEMBER 29, 2022

The use of RStudio on SageMaker and Amazon Redshift can be helpful for efficiently performing analysis on large data sets in the cloud. However, working with data in the cloud can present challenges, such as the need to remove organizational data silos, maintain security and compliance, and reduce complexity by standardizing tooling.

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Dataconomy

APRIL 27, 2023

Additionally, adding more single-purpose or fit-for-purpose databases to expand functionality can create data silos and amplify data management problems. Building in these characteristics at a later stage can be costly and resource-intensive.

Database 159

Database Data Scientist Data Mining Data Mining 159

ODSC - Open Data Science

JUNE 7, 2023

This means that customers can easily create secure and scalable Hadoop-based data lakes that can quickly process large amounts of data with simplicity and data security in mind. Snowflake Snowflake is a cross-cloud platform that looks to break down data silos. So, what are you waiting for?

Data Lakes 52

Data Lakes Azure Data Warehouse Hadoop 52

Tableau

JULY 25, 2024

This data model enables you to explore correlations and answer more sophisticated analytical questions, such as how Marketing spend affects Sales, or how Spend actuals are tracking against Budget forecasts. The base tables are not directly related to each other and shown with a thin box outline.

Tableau 76

Tableau Data Modeling Data Models Data Silos 76

phData

APRIL 2, 2024

By leveraging cloud-based data platforms such as Snowflake Data Cloud , these commercial banks can aggregate and curate their data to understand individual customer preferences and offer relevant and personalized products.

ML 52

ML ML Data Silos Data Lakes 52

IBM Journey to AI blog

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Data Quality 52

Data Quality Data Lakes Data Warehouse Big Data 52

Precisely

SEPTEMBER 26, 2024

Assess the current state of your data With your use cases in mind, you then need to assess your data’s completeness, quality, and governance. Ask yourself questions like: Does our data have proper governance and quality controls? Is it contextualized with necessary third-party data?

AI 75

AI AI Data Governance Data Quality 75

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

Data Governance 52

Data Governance Data Silos Predictive Analytics Data Wrangling 52

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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Alation

MAY 3, 2022

Mind the (Data Accessibility) Gap. Data is more accessible than ever. Although we don’t live in a perfect data world, data teams throughout nearly every industry have made progress breaking down data silos and moving data to the cloud to take advantage of new capabilities.

Tableau 52

Tableau Data Governance Data Silos Data Engineering 52

Alation

DECEMBER 13, 2022

One data catalog supports a broader organizational ability to collaborate (and innovate) across user types, use cases, and business units. Not only do such products create data silos – they perpetuate a broken social system that excludes key stakeholders. This the value of one catalog for many use cases.

DataOps 52

DataOps Data Governance Data Silos Data Scientist 52

The MLOps Blog

MAY 17, 2023

This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines. Before delving into the technical details, let’s review some fundamental concepts.

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ETL Data Pipeline ML ML 59

Pickl AI

DECEMBER 4, 2023

Marketing Targeted Campaigns Increases campaign effectiveness and ROI Data silos leading to inconsistent information. Implementing integrated data management systems. Data Engineer Builds and manages the infrastructure for collecting, storing, and analysing large volumes of data.

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

phData

SEPTEMBER 27, 2024

If a new, game-changing customer data technology comes along next year, you can easily incorporate it into your composable stack. Building a composable CDP requires some serious data engineering chops. Implementing this approach requires some serious data engineering chops.

Data Models 52

Data Models Data Modeling Apache Kafka Data Lakes 52

phData

NOVEMBER 9, 2023

The primary objective of this idea is to democratize data and make it transparent by breaking down data silos that cause friction when solving business problems. What Components Make up the Snowflake Data Cloud?

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Data Warehouse Data Lakes Clustering Cloud Data 98

Flipboard

DECEMBER 4, 2024

However, building data-driven applications can be challenging. It often requires multiple teams working together and integrating various data sources, tools, and services. For example, creating a targeted marketing app involves data engineers, data scientists, and business analysts using different systems and tools.

Data Lakes 139

Data Lakes Data Warehouse AWS Database 139

Women in Big Data

MARCH 5, 2025

I love how data can tell a story, challenge assumptions, and optimize decision-making. Over time, I saw the immense potential of data-driven insights, which led me into data engineering and AI/ML. In 2021, I took the leap and founded Data Surge , a data and AI/ML services company.

ML 52

ML ML Big Data Big Data 52

Alation

OCTOBER 12, 2021

One may define enterprise data analytics as the ability to find, understand, analyze, and trust data to drive strategy and decision-making. Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. Business strategy. DataOps. …

Analytics 52

Analytics Analytics Data Governance DataOps 52

phData

FEBRUARY 15, 2024

To take advantage of a data cloud like Snowflake, you need a way to move your data into it. This is where a data integration platform like Fivetran comes into play.

Data Warehouse 52

Data Warehouse Cloud Data Data Silos Analytics 52

AWS Machine Learning Blog

NOVEMBER 1, 2024

With a centralized data lake, organizations can avoid the duplication of data across separate trial databases. This leads to savings in storage costs and computing resources, as well as a reduction in the environmental impact of maintaining multiple data silos.

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