erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

erwin

APRIL 27, 2022

In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Change Data Capture identifies and processes only the data that has changed and stores the changed data in a form so as to be of further use.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

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. Read more about last years Data Impact Award winners. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

Alation

APRIL 14, 2023

In “The modern data stack is dead, long live the modern data stack!” the presenters elaborated on the common pain points of the cloud data warehouse today and predicted what it may look like in the future. Cloud costs are growing prohibitive. This presents both challenges and opportunities for modern businesses.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Alation

FEBRUARY 13, 2020

Why do we need a data catalog? What does a data catalog do? These are all good questions and a logical place to start your data cataloging journey. Data catalogs have become the standard for metadata management in the age of big data and self-service analytics. Figure 1 – Data Catalog Metadata Subjects.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

Cloudera

AUGUST 30, 2018

How do I get to the next level in the data-driven journey fast enough? How do I meet a growing demand for self-serve BI, while not exploding my data warehouse budgets? At Cloudera, we believe a strong partnership and the right technology foundation can put you on the path to data-driven success. Tough decisions.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

In(tegrate) the Clouds

DECEMBER 21, 2015

2016 will be the year of the data lake. It will surround and, in some cases, drown the data warehouse, and we’ll see significant technology innovations, methodologies and reference architectures that turn the promise into a reality. IDC predicts digital transformation will shape 2016.

Technology 45

Technology Internet of Things Digital Transformation Software 45

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Cloudera

FEBRUARY 11, 2019

Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. In the next sections, we’ll reveal what else is needed as well as how to right-size governance of more than just data helps organizations achieve their objectives. Governing digital transformation.

Digital Transformation 56

Digital Transformation Data Governance Data Warehouse Data-driven 56

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

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Data providers and consumers are the two fundamental users of a CDH dataset.

Dashboards 93

Dashboards Analytics Metadata Optimization 93

Alation

OCTOBER 21, 2021

That dirty data then corrupts analyses and forces mistakes. A frequent and periodic data cleansing strategy is. Lack of metadata. A lack of organization is another sign of a data swamp, typically driven by bad or incomplete metadata.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Jen Stirrup

MARCH 29, 2023

Organisations are looking at ways of simplifying data; for example, through simple rebranding efforts to disguise the complexity. However, SAP Datasphere goes much deeper deeper than a simple rebranding; it is the next generation of SAP Data Warehouse Cloud.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Geolocation data is also stored, which will help map customer locations to latitudes and longitudes to better understand where these motors are located after being sold in a vehicle. 2 ECC data enrichment pipeline.

Manufacturing 113

Manufacturing Data Warehouse Sales Predictive Analytics 113

IBM Big Data Hub

JULY 17, 2023

It is supported by querying, governance, and open data formats to access and share data across the hybrid cloud. Through workload optimization across multiple query engines and storage tiers, organizations can reduce data warehouse costs by up to 50 percent. Later this year, it will leverage watsonx.ai

Machine Learning 68

Machine Learning Data Warehouse Modeling Cost-Benefit 68

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses. Let’s summarize very quickly.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Cloudera

SEPTEMBER 10, 2018

The other day, it struck me how similar this is to how organizations digitally transform and become data-driven. Your raw material is data instead of wood, and you use multidisciplinary analytics rather than woodworking tools like a hammer, saw, and sander.

Analytics 40

Analytics Data Warehouse Cost-Benefit Metadata 40

AWS Big Data

OCTOBER 18, 2023

Apache Hive is a distributed, fault-tolerant data warehouse system that enables analytics at a massive scale. Spark SQL is an Apache Spark module for structured data processing. About the authors Amit Maindola is a Senior Data Architect focused on big data and analytics at Amazon Web Services.

Big Data 79

Big Data Data Processing Interactive Testing 79

Rocket-Powered Data Science

MARCH 20, 2023

This is where we dispel an old “big data” notion (heard a decade ago) that was expressed like this: “we need our data to run at the speed of business.” Instead, what we really need is for our business to run at the speed of data. This is where SAP Datasphere (the next generation of SAP Data Warehouse Cloud) comes in.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

Cloudera

JUNE 16, 2022

Every large enterprise organization is attempting to accelerate their digital transformation strategies to engage with their customers in a more personalized, relevant, and dynamic way. The ability to perform analytics on data as it is created and collected (a.k.a. So did we make Laila successful?

Data Lake 83

Data Lake Manufacturing Metadata Dashboards 83

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Alation

AUGUST 17, 2021

Many are turning to Snowflake for its modern cloud data warehouse, which offers flexibility, cost savings, and governance capabilities across an entire data ecosystem. Alation surfaces crucial metadata, so users have context on an asset’s full history, and a clear idea on how to use it.

Data Governance 52

Data Governance Cost-Benefit Enterprise Metadata 52

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 65

Data Architecture Data Lake Machine Learning Data Governance 65

CIO Business Intelligence

AUGUST 3, 2023

“You had to be an expert in the programming language that interacts with that data, and understand the relationships of each data element within each data source, let alone understand its relation to elements in other data sources,” he says. Without those templates, it’s hard to add such information after the fact.”

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 87

Data Lake Data Warehouse B2B Data-driven 87

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

JANUARY 11, 2021

See recorded webinars: Emerging Practices for a Data-driven Strategy. Data and Analytics Governance: Whats Broken, and What We Need To Do To Fix It. Link Data to Business Outcomes. Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? Policy enforcement.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

DECEMBER 17, 2021

Automating Data Management to Transform Reporting Processes. Historically, organizations have relied on the upload of.CSV files and mapping tables to affect a data transfer. Furthermore, validation checking is frequently insufficient to guarantee a flawless data transfer.

Reporting 52

Reporting Management Recreation/Entertainment Finance 52