Cloudera

MAY 12, 2021

The 2021 Cloudera Data Impact Award categories aim to recognize organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. DATA FOR ENTERPRISE AI. Read more about last years Data Impact Award winners. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

CIO Business Intelligence

SEPTEMBER 8, 2022

The experts offered several practical examples of how real-time data can help deliver continuous improvement in a variety of areas across the business, with the help of automation, which is a key capability for making data actionable. “In This means that all changes, all transitions, are instantaneous.

Cost-Benefit 122

Cost-Benefit Internet of Things Data-driven Data Lake 122

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Alation

FEBRUARY 13, 2020

Figure 1 illustrates the typical metadata subjects contained in a data catalog. Figure 1 – Data Catalog Metadata Subjects. Datasets are the files and tables that data workers need to find and access. They may reside in a data lake, warehouse, master data repository, or any other shared data resource.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Alation

OCTOBER 21, 2021

Data Swamp vs Data Lake. When you imagine a lake, it’s likely an idyllic image of a tree-ringed body of reflective water amid singing birds and dabbling ducks. I’ll take the lake, thank you very much. Many organizations have built a data lake to solve their data storage, access, and utilization challenges.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

CIO Business Intelligence

NOVEMBER 25, 2022

Carhartt’s signature workwear is near ubiquitous, and its continuing presence on factory floors and at skate parks alike is fueled in part thanks to an ongoing digital transformation that is advancing the 133-year-old Midwest company’s operations to make the most of advanced digital technologies, including the cloud, data analytics, and AI.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

IBM Big Data Hub

APRIL 24, 2023

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. Data is reported from one central repository, enabling management to draw more meaningful business insights and make faster, better decisions.

Data Warehouse 98

Data Warehouse Data Lake Cost-Benefit Enterprise 98

CIO Business Intelligence

OCTOBER 19, 2022

CIOs at the center of digital transformation Even as I write this, I realize that my first three quotes are not from chief information officers, but from chief information digital officers. These “digital” executives typically manage the IT organization, but their title signifies something more.

IT 124

IT Digital Transformation Data Warehouse Risk 124

CIO Business Intelligence

DECEMBER 21, 2022

Stout, for instance, explains how Schellman addresses integrating its customer relationship management (CRM) and financial data. “A A lot of business intelligence software pulls from a data warehouse where you load all the data tables that are the back end of the different software,” she says. “Or

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

AWS Big Data

NOVEMBER 14, 2023

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

Alation

JUNE 9, 2021

We have an explosion, not only in the raw amount of data, but in the types of database systems for storing it ( db-engines.com ranks over 340) and architectures for managing it (from operational datastores to data lakes to cloud data warehouses). Organizations are drowning in a deluge of data.

Data Governance 59

Data Governance Data-driven Machine Learning Data Lake 59

AWS Big Data

APRIL 4, 2024

With a powerful set of solutions, Aura enables complete digital transformation, letting operators promote key services outside the store, directly on-device. Amazon Redshift is a recommended service for online analytical processing (OLAP) workloads such as cloud data warehouses, data marts, and other analytical data stores.

Big Data 65

Big Data Data Warehouse Advertising OLAP 65

Alation

AUGUST 4, 2022

In this article, we’ll take stock of what big data has achieved from a c-suite perspective (with special attention to business transformation and customer experience.). Big Data as an Enabler of Digital Transformation. Big data technologies have been foundational to digital transformation.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

CIO Business Intelligence

AUGUST 3, 2022

CIOs who use low-code/no-code platforms and new governance models to create self-service data capabilities are turning shadow IT into citizen developers who can fish for their own data. To solve this, we’ve kept data engineering in IT, but embedded machine learning experts in the business functions. The cloud.

Finance 145

Finance IoT Digital Transformation Sales 145

Alation

JANUARY 27, 2022

As an organization embraces digital transformation , more data is available to inform decisions. To use that data, decision-makers across the company will need to have access. What Are the Top Data Challenges to Analytics? Despite its immense value, a variety of data can create more work.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Andrew White

JANUARY 11, 2021

The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A. Many data science labs are set up as shared services. Link Data to Business Outcomes. They have a different sweet spot.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52