AWS Big Data

JANUARY 15, 2025

The following requirements were essential to decide for adopting a modern data mesh architecture: Domain-oriented ownership and data-as-a-product : EUROGATE aims to: Enable scalable and straightforward data sharing across organizational boundaries. Eliminate centralized bottlenecks and complex data pipelines.

IoT 111

IoT Machine Learning Metadata Data-driven 111

AWS Big Data

MAY 30, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Solution overview Amazon Redshift is an industry-leading cloud data warehouse.

Data Warehouse 115

Data Warehouse Data Lake Cost-Benefit Structured Data 115

Cloudera

JANUARY 15, 2021

Cloud data warehouses allow users to run analytic workloads with greater agility, better isolation and scale, and lower administrative overhead than ever before. The results demonstrate superior price performance of Cloudera Data Warehouse on the full set of 99 queries from the TPC-DS benchmark. Introduction.

Data Warehouse 96

Data Warehouse Cost-Benefit Consulting Interactive 96

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 90

Data Warehouse Measurement Reporting Testing 90

AWS Big Data

MARCH 27, 2023

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. In AWS Cost Explorer , you want to create cost reports for Redshift Serverless by department, environment, and cost center. Create cost reports. Choose Create new report.

Data Warehouse 98

Data Warehouse Management Snapshot Data Lake 98

AWS Big Data

JANUARY 6, 2025

Amazon AppFlow automatically encrypts data in motion, and allows you to restrict data from flowing over the public internet for SaaS applications that are integrated with AWS PrivateLink , reducing exposure to security threats. Create a report on Google Analytics. Refer to API Dimensions & Metrics for details.

Analytics 98

Analytics Data Warehouse Metrics Big Data 98

AWS Big Data

JUNE 21, 2023

These types of queries are suited for a data warehouse. The goal of a data warehouse is to enable businesses to analyze their data fast; this is important because it means they are able to gain valuable insights in a timely manner. Amazon Redshift is fully managed, scalable, cloud data warehouse.

Data Warehouse 105

Data Warehouse Data Lake OLAP Cost-Benefit 105

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

DataKitchen

AUGUST 3, 2021

First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. Second-generation – gigantic, complex data lake maintained by a specialized team drowning in technical debt. Easy to report problems and receive updates on fixes.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

APRIL 8, 2025

Fragmented systems, inconsistent definitions, outdated architecture and manual processes contribute to a silent erosion of trust in data. When financial data is inconsistent, reporting becomes unreliable. A compliance report is rejected because timestamps dont match across systems. Assign domain data stewards.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

Cloudera

JANUARY 19, 2022

Gartner® recognized Cloudera in three recent reports – Magic Quadrant for Cloud Database Management Systems (DBMS), Critical Capabilities for Cloud Database Management Systems for Analytical Use Cases and Critical Capabilities for Cloud Database Management Systems for Operational Use Cases. Download the reports to see the detailed scores .

Reporting 90

Reporting Data Warehouse Data Lake Machine Learning 90

Cloudera

APRIL 9, 2021

Enterprise data warehouse platform owners face a number of common challenges. In this article, we look at seven challenges, explore the impacts to platform and business owners and highlight how a modern data warehouse can address them. ETL jobs and staging of data often often require large amounts of resources.

Data Warehouse 58

Data Warehouse Cost-Benefit Statistics Data-driven 58

Smart Data Collective

OCTOBER 27, 2021

The data is ever-increasing, and getting the deepest analytics about their business activities requires technical tools, analysts, and data scientists to explore and gain insight from large data sets. Interactive analytics applications make it easy to get and build reports from large unstructured data sets fast and at scale.

Interactive 130

Interactive Analytics Unstructured Data Data Warehouse 130

Smart Data Collective

JUNE 6, 2021

Big data is usually associated with high volume, high velocity and high variety information, and tends to deal with datasets that are too complex for other, more traditional data processing software. What is big data used for? Big data analytics advantages. Is Google BigQuery the future of big data analytics?

Big Data 137

Big Data Data Analytics Analytics Cost-Benefit 137

Cloudera

APRIL 3, 2023

In this blog, we will share with you in detail how Cloudera integrates core compute engines including Apache Hive and Apache Impala in Cloudera Data Warehouse with Iceberg. It allows us to independently upgrade the Virtual Warehouses and Database Catalogs. Please let us know your feedback in the comments section below.

Data Warehouse 82

Data Warehouse Snapshot Metadata Cost-Benefit 82

CIO Business Intelligence

OCTOBER 19, 2023

You can drill into data, create a variety of visualizations, and (literally) ask questions about it using AI. Power BI’s rich reports or dashboards can be embedded into reporting portals you already use. Smart Narratives pull out key takeaways and trends in your data and wrap them with autogenerated text to build data stories.

Slice and Dice 126

Slice and Dice Scorecard Metrics Visualization 126

David Menninger's Analyst Perspectives

SEPTEMBER 19, 2024

While there is an ongoing need for data platforms to support data warehousing workloads involving analytic reports and dashboards, there is increasing demand for analytic data platform providers to add dedicated functionality for data engineering, including the development, training and tuning of machine learning (ML) and GenAI models.

Data Warehouse 130

Data Warehouse Data Science Modeling Data Governance 130

IBM Big Data Hub

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

Data Warehouse 56

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 56

AWS Big Data

DECEMBER 18, 2023

Amazon Redshift powers data-driven decisions for tens of thousands of customers every day with a fully managed, AI-powered cloud data warehouse, delivering the best price-performance for your analytics workloads. Learn more about the AWS zero-ETL future with newly launched AWS databases integrations with Amazon Redshift.

Data Warehouse 111

Data Warehouse Machine Learning Data-driven Data Lake 111

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 130

Data Warehouse Analytics Data Lake Machine Learning 130

DataKitchen

NOVEMBER 20, 2021

The DataOps Engineer can automate the creation of artifacts related to data structures, such as change logs that are automatically updated. We have data profiling tools that we run to compare versions of datasets. We have automated testing and a system for exception reporting, where tests identify issues that need to be addressed.

Testing 246

Testing Machine Learning Data Warehouse Analytics 246

Octopai

NOVEMBER 5, 2019

Is your data going somewhere? No, we’re not talking about databases going AWOL or data warehouses getting a little R&R at the beach. We’re talking about migrations from one system to another, or combining data from different systems into a single system or warehouse.

Machine Learning 65

Machine Learning Metadata Data Governance Data Warehouse 65

CIO Business Intelligence

JUNE 29, 2022

Analytics is the means for discovering those insights, and doing it well requires the right tools for ingesting and preparing data, enriching and tagging it, building and sharing reports, and managing and protecting your data and insights. Azure Data Factory. Azure Data Lake Analytics.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

datapine

SEPTEMBER 27, 2022

A host of notable brands and retailers with colossal inventories and multiple site pages use SQL to enhance their site’s structure functionality and MySQL reporting processes. Whether you need to write database applications, perform administrative tasks or utilize a SQL report builder , this book is amongst the best books to learn SQL.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. Learn More, Keep in Touch.

Data Warehouse 97

Data Warehouse Machine Learning Visualization Data Lake 97

CIO Business Intelligence

NOVEMBER 7, 2023

Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems.

Data Warehouse 142

Data Warehouse Digital Transformation Data-driven Reporting 142

Smart Data Collective

SEPTEMBER 8, 2021

The ETL process is defined as the movement of data from its source to destination storage (typically a Data Warehouse) for future use in reports and analyzes. The data is initially extracted from a vast array of sources before transforming and converting it to a specific format based on business requirements.

Data Warehouse 126

Data Warehouse Data Integration Marketing Software 126

datapine

NOVEMBER 11, 2021

a) Data Connectors Features. d) Reporting Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. c) Join Data Sources. Table of Contents. Let’s get started!

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

CIO Business Intelligence

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). You can intuitively query the data from the data lake.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Sisense

OCTOBER 2, 2019

Reporting and business intelligence are often used to refer to the same thing — but wrongly so! The difference between reporting and business intelligence goes beyond charts for the first or data correlations for the second. Reporting and BI serve two different business needs. Reports often use the same format over time.

Business Intelligence 75

Business Intelligence Reporting Data Warehouse Data-driven 75

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. The SQL query language used to extract data for reporting could also potentially be used to insert, update, or delete records from the database.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Cloudera

SEPTEMBER 9, 2018

We are proud to announce the general availability of Cloudera Altus Data Warehouse , the only cloud data warehousing service that brings the warehouse to the data. Modern data warehousing for the cloud. Cloudera Altus Data Warehouse is designed with agile data teams in mind.

Data Warehouse 40

Data Warehouse Metadata Cost-Benefit Reporting 40

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

AWS Big Data

JULY 24, 2024

ActionIQ is a leading composable customer data (CDP) platform designed for enterprise brands to grow faster and deliver meaningful experiences for their customers. This post will demonstrate how ActionIQ built a connector for Amazon Redshift to tap directly into your data warehouse and deliver a secure, zero-copy CDP.

Data Warehouse 126

Data Warehouse Cost-Benefit Marketing Testing 126

datapine

MARCH 31, 2022

Being able to clearly see how the data changes in time is what makes it possible to extract relevant conclusions from it. For this purpose, you should be able to differentiate between various charts and report types as well as understand when and how to use them to benefit the BI process. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Data Science 101

FEBRUARY 22, 2020

Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. You can now see the views of a report broken down by platform. Using Jupyter Notebooks in Azure Data Studio This is a nice overview of the Azure Data Studio tool.

Data Science 103

Data Science Forecasting Data Warehouse Machine Learning 103