Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Extract, load, Transform (ELT) tools. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? Who Can Adopt the Modern Data Stack?

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.

Metadata 52

Metadata Management Data Governance Machine Learning 52

CIO Business Intelligence

JANUARY 9, 2023

Customers are increasingly demanding access to real-time data, and freight transportation provider Estes Express Lines is among the rising tide of enterprises overhauling their data operations to deliver it. We then started our exploration for a platform to solve the data problem,” Cournoyer says.

Data Strategy 111

Data Strategy Strategy Data Governance Marketing 111

IBM Big Data Hub

MARCH 14, 2024

Such infrastructure should not only address these issues but also scale according to the demands of AI workloads, thereby enhancing business outcomes. It enables secure data sharing for analytics and AI across your ecosystem. This allows you to scale all analytics and AI workloads across the enterprise with trusted data. 

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

AWS Big Data

JULY 25, 2023

Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver fast performance for even the most demanding and unpredictable workloads, and you pay only for what you use. Cameron is a veteran of ISV partnerships and enterprise software, with over 23 years of experience.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

Octopai

NOVEMBER 23, 2020

In fact, the LIBOR transition program marks one of the largest data transformation obstacles ever seen in financial services. Building an inventory of what will be affected is a huge undertaking across all of the data, reports, and structures that must be accounted for. Automated Data Lineage for Your LIBOR Project.

Metadata 54

Metadata Enterprise Business Intelligence Data Governance 54

CIO Business Intelligence

JUNE 14, 2022

I think that speaks volumes to the type of commitment that organizations have to make around data in order to actually move the needle.”. So if funding and C-suite attention aren’t enough, what then is the key to ensuring an organization’s data transformation is successful? Analytics, Chief Data Officer, Data Management

Data Transformation 142

Data Transformation Data-driven Data Strategy Strategy 142

CIO Business Intelligence

NOVEMBER 7, 2023

In fact, as companies undertake digital transformations , usually the data transformation comes first, and doing so often begins with breaking down data — and political — silos in various corners of the enterprise. Some of this data might previously have been accessible to only a small number of groups or users.

Data Warehouse 140

Data Warehouse Digital Transformation Data-driven Reporting 140

Smarten

JANUARY 4, 2018

It is no wonder that the average enterprise is cautious when any suggestion is made to change the process they have in place. Let’s look at the benefits of, and the need for, traditional ETL as well as self-serve data preparation performed by business users. Give the Power to Business Users.

Data Warehouse 40

Data Warehouse OLAP Data Governance Optimization 40

Birst BI

FEBRUARY 25, 2020

Managing large-scale data warehouse systems has been known to be very administrative, costly, and lead to analytic silos. The good news is that Snowflake, the cloud data platform, lowers costs and administrative overhead. The result is a lower total cost of ownership and trusted data and analytics.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

CIO Business Intelligence

JANUARY 24, 2024

If you’re ready to push the boundaries of intelligent automation, their pivotal insights and next-gen paradigm unlock a new era of possibilities, empowering you to revolutionize your business operations. Gather/Insert data on market trends, customer behavior, inventory levels, or operational efficiency.

IoT 101

IoT Machine Learning Optimization Internet of Things 101

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MARCH 14, 2024

Microsoft recently introduced a comprehensive analytics solution for its enterprise customers, Microsoft Fabric. The solution offers data movement, data science, real-time analytics, and business intelligence within a single platform.

Analytics 52

Analytics Management Reporting Enterprise 52