phData

APRIL 2, 2024

With its ability to cater to a large variety of workloads, which include AI/ML , data warehousing, data lake , and data engineering , Snowflake also enables banks to go beyond personalization and tackle additional use cases such as financial forecasting, risk management, and more.

ML 52

ML ML Data Silos Data Lakes 52

Pickl AI

OCTOBER 6, 2024

Summary: This blog explores the key differences between ETL and ELT, detailing their processes, advantages, and disadvantages. Understanding these methods helps organizations optimize their data workflows for better decision-making. Load After extraction, the next step is Load. Conversely, ELT flips this sequence.

ETL 52

ETL Data Warehouse Data Quality Data Lakes 52

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.

AI 45

AI AI Data Quality Database 45

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 Business Intelligence 52

Alation

MARCH 21, 2023

While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data. What is big data in the travel and tourism industry? Curious to see Alation in action?

Analytics 52

Analytics Analytics Data Silos Big Data 52

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 Engineer 52

Pickl AI

JUNE 28, 2023

But, this data is often stored in disparate systems and formats. Here comes the role of Data Mining. Read this blog to know more about Data Integration in Data Mining, The process encompasses various techniques that help filter useful data from the resource. Thus enabling better decision-making.

Data Mining 52

Data Mining Data Mining Data Mining ETL 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.

Data Warehouse 59

Data Warehouse Cloud Data Analytics Analytics 59

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.

AWS 97

AWS Database AI AI 97

Alation

APRIL 7, 2021

Business and technical users have always found Alation Data Catalog simple to use and manage. Enterprises can use the data catalog without any administrative overhead. Deliver data intelligence, as a service. The cloud unifies a distributed data landscape. Subscribe to Alation's Blog. Broad, Deep Connectivity.

Data Governance 52

Data Governance AWS Data Silos Data Lakes 52

Dataversity

AUGUST 5, 2021

According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloud Data Management by accelerating digital transformation.

Cloud Data 98

Cloud Data Data Silos Data Lakes Data Warehouse 98

Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

Internet of Things 97

Internet of Things Data Silos Data Lakes Data Warehouse 97

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.

ETL 59

ETL Data Pipeline ML ML 59

Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

Analytics 69

Analytics Analytics Data Silos Data Lakes 69

Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

Machine Learning 52

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 52

phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. 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.

Data Warehouse 98

Data Warehouse Data Lakes Clustering Cloud Data 98

IBM Journey to AI blog

JUNE 15, 2023

There’s no debate that the volume and variety of data is exploding and that the associated costs are rising rapidly. The proliferation of data silos also inhibits the unification and enrichment of data which is essential to unlocking the new insights.

Data Warehouse 115

Data Warehouse Data Lakes Cloud Data Analytics 115

Alation

AUGUST 2, 2022

The problem many companies face is that each department has its own data, technologies, and information handling processes. This causes data silos to form, which can inhibit data visibility and collaboration, and lead to integrity issues that make it harder to share and use data. Subscribe to Alation's Blog.

Data Silos 52

Data Silos Data Lakes Data Analyst Data Scientist 52

Alation

APRIL 19, 2022

In that sense, data modernization is synonymous with cloud migration. Modern data architectures, like cloud data warehouses and cloud data lakes , empower more people to leverage analytics for insights more efficiently. Subscribe to Alation's Blog. The post What Is Data Modernization?

Data Governance 52

Data Governance Cloud Data Database Data Silos 52

Alation

JANUARY 27, 2022

What Are the Top Data Challenges to Analytics? The proliferation of data sources means there is an increase in data volume that must be analyzed. Large volumes of data have led to the development of data lakes , data warehouses, and data management systems. Subscribe to Alation's Blog.

Data Governance 52

Data Governance Analytics Analytics Data Quality 52