AWS Big Data

JANUARY 15, 2025

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone , to make data discoverable by data consumers across different business units so that they can innovate faster. As part of the required data, CHE data is shared using Amazon DataZone. This process is shown in the following figure.

IoT 100

IoT Machine Learning Metadata Data-driven 100

AWS Big Data

APRIL 17, 2024

The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. times better price-performance than other cloud data warehouses. Data processing jobs enrich the data in Amazon Redshift.

Data Warehouse 113

Data Warehouse Analytics Cost-Benefit Data Processing 113

IBM Big Data Hub

AUGUST 28, 2023

Macmillan Publishers is a global publishing company and one of the “Big Five” English language publishers. They published many perennial favorites including Kristin Hannah’s The Nightingale , Bill Martin’s Brown Bear, Brown Bear, what do you see?

Publishing 50

Publishing Analytics Business Intelligence Operational Reporting 50

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

AWS Big Data

DECEMBER 4, 2024

Central to the success of this strategy is its support for each division’s autonomy and freedom to choose their own domain structure, which is closely aligned to their business needs. These nodes can implement analytical platforms like data lake houses, data warehouses, or data marts, all united by producing data products.

Metadata 93

Metadata Data Governance Data Quality Data-driven 93

AWS Big Data

OCTOBER 26, 2023

times better price-performance than other cloud data warehouses on real-world workloads using advanced techniques like concurrency scaling to support hundreds of concurrent users, enhanced string encoding for faster query performance, and Amazon Redshift Serverless performance enhancements. Amazon Redshift delivers up to 4.9

Data Warehouse 109

Data Warehouse Cost-Benefit Dashboards Optimization 109

Howard Dresner

JANUARY 4, 2015

I kicked off a recent discussion with this question to the group: “What are the top five worst practices in business intelligence?” I certainly don’t want to minimize the great successes organizations are having with business intelligence. It took only a few minutes for them to toss out a lot more than five.

Business Intelligence 45

Business Intelligence Recreation/Entertainment Sales Data Quality 45

AWS Big Data

JANUARY 30, 2025

Diagram 1: Overall architecture of the solution, using AWS Step Functions, Amazon Redshift and Amazon S3 The following AWS services were used to shape our new ETL architecture: Amazon Redshift A fully managed, petabyte-scale data warehouse service in the cloud. The following Diagram 4 shows this workflow.

Data Warehouse 52

Data Warehouse Data Architecture Machine Learning Data Transformation 52

CIO Business Intelligence

APRIL 8, 2025

As data volumes and use cases scale especially with AI and real-time analytics trust must be an architectural principle, not an afterthought. Comparison of modern data architectures : Architecture Definition Strengths Weaknesses Best used when Data warehouse Centralized, structured and curated data repository.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections.

Data Architecture 96

Data Architecture Optimization Data Warehouse Metadata 96

AWS Big Data

JULY 2, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Data Warehouse 101

Data Warehouse Sales Testing Big Data 101

AWS Big Data

AUGUST 1, 2024

Large-scale data warehouse migration to the cloud is a complex and challenging endeavor that many organizations undertake to modernize their data infrastructure, enhance data management capabilities, and unlock new business opportunities.

Data Warehouse 99

Data Warehouse KPI Optimization Cost-Benefit 99

FineReport

FEBRUARY 28, 2020

The enterprise reporting tool helps set manual reports as report templates to realize the automation of the business report. . Then the reporting engine publishes these reports to the reporting portal to allow non-technical end-users access. In this way, users can gain insights from the data and make data-driven decisions. .

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Lakehouse provides an open data architecture that reduces data silos and unifies data across Amazon Simple Storage Service (Amazon S3) data lakes, Redshift data warehouses, and third-party and federated data sources. AWS Glue 5.0 Finally, AWS Glue 5.0

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59

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

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Business Metadata.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

MARCH 29, 2024

However, to analyze trends over time, aggregate from different dimensions, and share insights across the organization, a purpose-built business intelligence (BI) tool like Amazon QuickSight may be more effective for your business. Select Publish new dashboard as , and enter GlueObservabilityDashboard.

Metrics 118

Metrics Visualization Dashboards Publishing 118

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI. million a year.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Cloudera

FEBRUARY 28, 2019

We’ve just published our most recent customer success story ! This story gives a look at how HelloFresh is becoming a more data centric organization to better serve its customers. For HelloFresh, data is key to understanding customer preferences, including what recipes, ingredients, and meals each household likes.

Data Warehouse 56

Data Warehouse Forecasting Data-driven Dashboards 56

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 116

Data Lake Management Metrics Data Warehouse 116

AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. Dimension-based models have been used extensively to build data warehouses.

Data Lake 116

Data Lake Sales Data Warehouse Snapshot 116

CIO Business Intelligence

SEPTEMBER 21, 2022

“The good news for many CIOs is that they’ve already laid the groundwork through investments in data governance and migration to the cloud,” LiveRamp noted in a recent report. Inconsistent data , which can result in inaccuracies in interacting with customers, and affect the internal operational use of data.

Risk 105

Risk Data Lake Marketing Data Warehouse 105

FineReport

DECEMBER 17, 2019

Jaspersoft ETL – an open-source ETL system that is easy to deploy and execute, creating a comprehensive data warehouse and data set. The documents can be published and exported in a variety of document formats. Once installed, reports can be created and published quickly. From Google. From Google.

Reporting 98

Reporting Dashboards Visualization Data Warehouse 98

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 72

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 72

AWS Big Data

JULY 25, 2023

It automatically provisions and intelligently scales data warehouse compute capacity to deliver fast performance, and you pay only for what you use. Just load your data and start querying right away in the Amazon Redshift Query Editor or in your favorite business intelligence (BI) tool.

Metrics 87

Metrics Data Warehouse Dashboards Snapshot 87

Smarten

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’. The integrated augmented analytics approach includes simple tenant management to deploy with a shared data model for single-tenant mode or an isolated data model for multi-tenant mode and software as a service (SaaS) applications.

Data Warehouse 78

Data Warehouse Software Data Architecture Dashboards 78

CIO Business Intelligence

NOVEMBER 23, 2022

Artificial intelligence (AI). Data warehouse. Business intelligence. Data modeling. Both men also worked for IBM during this time, and that’s when Zachman published the framework in the IBM Systems Journal in 1987. Microsoft Azure. Strategy development. Enterprise solutions. Software architecture.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

AWS Big Data

MAY 7, 2024

It also makes it easier for engineers, data scientists, product managers, analysts, and business users to access data throughout an organization to discover, use, and collaborate to derive data-driven insights. The producer also needs to manage and publish the data asset so it’s discoverable throughout the organization.

Metadata 86

Metadata Data Lake Data Processing Data-driven 86

CIO Business Intelligence

JULY 10, 2023

Rokita believes the key to making that transition is to stop thinking of data warehousing and AI/ML as separate departments with their own distinct systems. The data warehouse is about past data, and models are about future data.

Data Warehouse 98

Data Warehouse Cost-Benefit Unstructured Data Machine Learning 98

AWS Big Data

SEPTEMBER 21, 2023

Satori integrates natively with both Amazon Redshift provisioned clusters and Amazon Redshift Serverless for easy setup of your Amazon Redshift data warehouse in the secure Satori portal. In part 2, we will explore how to set up self-service data access with Satori to data stored in Amazon Redshift.

Data Warehouse 98

Data Warehouse Interactive Data Architecture Data-driven 98

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

CIO Business Intelligence

JANUARY 8, 2024

Data management is another key priority for Cathay this year, as the company aims to consolidate data feeds and data repositories from its multiple data warehouses to better enable analytics in all applications, Nair says.

Optimization 119

Optimization Digital Transformation Cost-Benefit Data Warehouse 119

CIO Business Intelligence

MARCH 16, 2022

Over time we’ve started using cloud to support business operations, including Xero for financial accounting, NeupartOne for risk and compliance and PureCloud for our call centre telephony. This phase includes the migration of our data warehouse and business intelligence capabilities, using Synapse and PowerBI respectively.

Insurance 105

Insurance Cost-Benefit Data Processing Strategy 105

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

Sisense

MARCH 13, 2019

Data Access, Connection, Mashup. To get the best results from analytics and to formulate the most on-point business intelligence, it’s essential that you have access to as many data sources and databases as possible, both now and in the future. Check out use cases and customer stories published by vendors.

Analytics 69

Analytics Business Intelligence ROI Cost-Benefit 69

Jet Global

JULY 23, 2019

According to Gartner, Microsoft’s Power BI is the number one application ecosystem in the business intelligence environment. Power BI Desktop opens a new era in data analysis and reporting. Power BI Desktop opens a new era in data analysis and reporting. The Power of Excel with Data Warehouse Automation: Jet Analytics.

Dashboards 71

Dashboards Reporting Visualization Data Warehouse 71

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52