Data Virtualization

APRIL 21, 2022

Reading Time: 3 minutes First we had data warehouses, then came data lakes, and now the new kid on the block is the data lakehouse. But what is a data lakehouse and why should we develop one? In a way, the name describes what.

Data Lake 59

Data Lake Data Warehouse Data Integration Management 59

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. These upstream data sources constitute the data producer components.

Data Warehouse 104

Data Warehouse Analytics Data Lake Data Science 104

Data Virtualization

APRIL 13, 2022

Reading Time: < 1 minute The Denodo Platform, based on data virtualization, enables a wide range of powerful, modern use cases, including the ability to seamlessly create a logical data warehouse. Logical data warehouses have all of the capabilities of traditional data warehouses, yet they.

Data Warehouse 52

Data Warehouse Marketing Data Integration Management 52

CIO Business Intelligence

APRIL 25, 2022

“You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. Features focus on media and entertainment firms.

Recreation/Entertainment 119

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 119

DataRobot

JANUARY 20, 2022

The UK’s National Health Service (NHS) will be legally organized into Integrated Care Systems from April 1, 2022, and this convergence sets a mandate for an acceleration of data integration, intelligence creation, and forecasting across regions. Action to take.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145

CIO Business Intelligence

FEBRUARY 20, 2024

Data also needs to be sorted, annotated and labelled in order to meet the requirements of generative AI. No wonder CIO’s 2023 AI Priorities study found that data integration was the number one concern for IT leaders around generative AI integration, above security and privacy and the user experience.

Cost-Benefit 115

Cost-Benefit Data Lake Data Warehouse Data Processing 115

CIO Business Intelligence

JUNE 9, 2022

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. Marketing-focused or not, DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 144

Management Advertising Data Lake Sales 144

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

CIO Business Intelligence

JUNE 7, 2022

If you’re building a team for the first time, you should understand that data science is an iterative process that requires a lot of data, says Matt Mead, CTO at information technology services company SPR. Because of this, only a small percentage of your AI team will work on data science efforts, he says.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

CIO Business Intelligence

MAY 10, 2022

Data management consultancy, BitBang, says CDPs offer five key benefits : As a central hub for all your customer data, they help you build unified customer profiles. They eliminate data silos, and, unlike a traditional data warehouse, CDPs don’t require technical expertise to set up or maintain. Treasure Data CDP.

Advertising 122

Advertising Interactive Marketing Structured Data 122

Data Virtualization

FEBRUARY 6, 2025

Additionally, storage continued to grow in capacity, epitomized by an optical disk designed to store a petabyte of data, and the global Internet population. The post Denodos Predictions for 2025 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration 64

Data Integration Management Data Warehouse IT 64

Cloudera

JULY 11, 2022

Before you can capitalize on your data you need to know what you have, how you can use it in a safe and compliant manner, and how to make it available to the business. Cloudera data fabric and analyst acclaim.

Data Architecture 107

Data Architecture Data-driven Data Warehouse Cost-Benefit 107

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 119

Analytics Data Lake Data Warehouse Data-driven 119

AWS Big Data

MAY 3, 2023

In today’s data-driven business environment, organizations face the challenge of efficiently preparing and transforming large amounts of data for analytics and data science purposes. Businesses need to build data warehouses and data lakes based on operational data.

Data Lake 92

Data Lake Data Warehouse Data-driven Optimization 92

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model?

Data Warehouse 70

Data Warehouse Data Lake Cost-Benefit Metadata 70

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? 11 May 2021. .

Management 79

Management Metadata Data Architecture Data Lake 79

CIO Business Intelligence

SEPTEMBER 22, 2023

All this data arrives by the terabyte, and a data management platform can help marketers make sense of it all. DMPs excel at negotiating with a wide array of databases, data lakes, or data warehouses, ingesting their streams of data and then cleaning, sorting, and unifying the information therein.

Management 105

Management Advertising Data Lake Sales 105

Data Virtualization

JUNE 25, 2024

Reading Time: 5 minutes For years, organizations have been managing data by consolidating it into a single data repository, such as a cloud data warehouse or data lake, so it can be analyzed and delivered to business users. Unfortunately, organizations struggle to get this.

Management 52

Management Data Lake Data Warehouse Data Integration 52

Cloudera

JUNE 2, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

Data Virtualization

FEBRUARY 22, 2023

Reading Time: 2 minutes The data lakehouse attempts to combine the best parts of the data warehouse with the best parts of data lakes while avoiding all of the problems inherent in both. However, the data lakehouse is not the last word in data.

Data Lake 52

Data Lake Data Warehouse Data Integration Management 52

Data Virtualization

FEBRUARY 22, 2023

Reading Time: 2 minutes The data lakehouse attempts to combine the best parts of the data warehouse with the best parts of data lakes while avoiding all of the problems inherent in both. However, the data lakehouse is not the last word in data.

Data Lake 52

Data Lake Data Warehouse Data Integration Management 52

Data Virtualization

JULY 8, 2020

In my last post, I covered some of the latest best practices for enhancing data management capabilities in the cloud. Despite the increasing popularity of cloud services, enterprises continue to struggle with creating and implementing a comprehensive cloud strategy that.

Data Integration 52

Data Integration Strategy Enterprise Management 52

Data Virtualization

JANUARY 14, 2022

Reading Time: 3 minutes During a recent house move I discovered an old notebook with metrics from when I was in the role of a Data Warehouse Project Manager and used to estimate data delivery projects. For the delivery a single data mart with.

Data Warehouse 52

Data Warehouse Metrics Data Integration Management 52

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Unfortunately, with data spread.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Data Virtualization

APRIL 7, 2022

As far back as 2011 Gartner proposed the concept of a logical data warehouse as a way to overcome some of the challenges organizations. The post Does Data Always Need to End Up in a Centralized Repository? Reading Time: 3 minutes This is an age-old question, and one that has been asked many times over the years.

Data Warehouse 52

Data Warehouse Data Integration Management Data Lake 52

Alation

JANUARY 17, 2023

The modern data stack is a combination of various software tools used to collect, process, and store data on a well-integrated cloud-based data platform. It is known to have benefits in handling data due to its robustness, speed, and scalability. Data ingestion/integration services. Reverse ETL tools.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Science Data Transformation 52

AWS Big Data

MARCH 26, 2024

Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

CIO Business Intelligence

JULY 13, 2022

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? Use cases demand that data no longer be distributed to just a data warehouse or subset of data sources, but to a diverse set of hybrid services across cloud providers and on-prem.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Data Virtualization

FEBRUARY 17, 2022

The post What is Data Virtualization? Understanding the Concept and its Advantages appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. However, every day, companies generate.

IT 81

IT Data Integration Management Data Lake 81

AWS Big Data

JUNE 10, 2024

Various data pipelines process these logs, storing petabytes (PBs) of data per month, which after processing data stored on Amazon S3, are then stored in Snowflake Data Cloud. Until recently, this data was mostly prepared by automated processes and aggregated into results tables, used by only a few internal teams.

Data Lake 121

Data Lake Metadata Snapshot Analytics 121

Cloudera

FEBRUARY 11, 2019

Cloudera provides a unified platform with multiple data apps and tools, big data management, hybrid cloud deployment flexibility, admin tools for platform provisioning and control, and a shared data experience for centralized security, governance, and metadata management.

Management 43

Management Metadata Analytics Machine Learning 43

Andrew White

OCTOBER 22, 2021

Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Data Integration tactics 4.

IT 52

IT Data Lake Data Science Strategy 52

IBM Big Data Hub

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

Domino Data Lab

APRIL 3, 2019

The top three items are essentially “the devil you know” for firms which want to invest in data science: data platform, integration, data prep. Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. Rinse, lather, repeat.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

Data Virtualization

SEPTEMBER 22, 2022

Reading Time: 2 minutes A recent post, on the cost and impact of persisted data, got me thinking: If data is the new oil, as some believe, then data virtualization is akin to the electrification of gas/petrol-powered cars. An Inconvenient Truth Cloud migration strategies, The post Is Data the New Oil?

Data Integration 72

Data Integration Strategy Management Digital Transformation 72

Data Virtualization

DECEMBER 8, 2022

Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. The post Metadata, the Neglected Stepchild of IT appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Metadata 69

Metadata IT Data Integration Publishing 69