AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

CIO Business Intelligence

DECEMBER 20, 2024

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Data must be able to freely move to and from data warehouses, data lakes, and data marts, and interfaces must make it easy for users to consume that data.

Data Architecture 121

Data Architecture Management Consulting Internet of Things 121

AWS Big Data

MARCH 13, 2025

Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards. When we build data-driven applications for our customers, we want a unified platform where the technologies work together in an integrated way.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

CIO Business Intelligence

APRIL 25, 2024

At Salesforce World Tour NYC today, Salesforce unveiled a new global ecosystem of technology and solution providers geared to help its customers leverage third-party data via secure, bidirectional zero-copy integrations with Salesforce Data Cloud. Sharing Customer 360 insights back without data replication.

Data Integration 118

Data Integration Data Lake Data Warehouse Metadata 118

datapine

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

AWS Big Data

DECEMBER 4, 2024

This balance between unification and maintaining advanced capabilities is key to supporting our customers’ ongoing innovation and adaptability in a rapidly changing technological landscape. This innovation drives an important change: you’ll no longer have to copy or move data between data lake and data warehouses.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

CIO Business Intelligence

MARCH 16, 2022

But even before the pandemic hit, Dubai-based Aster DM Healthcare was deploying emerging technology — for example, implementing a software-defined network at its Aster Hospitals UAE infrastructure to help manage IoT-connected healthcare devices. The same goes for the adoption of data warehouse and business intelligence.

Technology 114

Technology Digital Transformation Data Warehouse Business Intelligence 114

Alation

JULY 28, 2022

It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. However, CIOs declare that agility, innovation, security, adopting new capabilities, and time to value — never cost — are the top drivers for cloud data warehousing.

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

AWS Big Data

JANUARY 15, 2025

With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially. However, much of this data remains siloed and making it accessible for different purposes and other departments remains complex. She can reached via LinkedIn.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Smart Data Collective

MAY 31, 2022

Big data technology is having a huge impact on the state of modern business. The technology surrounding big data has evolved significantly in recent years, which means that smart businesses will have to take steps to keep up with it. What is Data Activation? ETL is a form of data integration into a warehouse.

Data Warehouse 142

Data Warehouse Big Data Data-driven Technology 142

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix.

Testing 304

Testing Machine Learning Consulting Data Science 304

CIO Business Intelligence

JULY 18, 2022

One organization, Feeding America, the country’s largest domestic hunger relief organization, is turning to information technology to help, having hired three years ago its first IT chief to transform how its network of 200 food banks serve the food insecure. Those food banks also have varying levels of technology acumen.

Data Warehouse 141

Data Warehouse Dashboards Reporting Manufacturing 141

IBM Big Data Hub

APRIL 19, 2023

Water technology companies worldwide provide innovative solutions to supply, conserve and protect water throughout the highly complex and technical water cycle of collection, treatment, distribution, reuse and disposal. This work involved creating a single set of definitions and procedures for collecting and reporting financial data.

Technology 81

Technology Forecasting Data Warehouse Reporting 81

CIO Business Intelligence

APRIL 8, 2025

Data is the foundation of innovation, agility and competitive advantage in todays digital economy. As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Data quality is no longer a back-office concern.

Data Quality 101

Data Quality Data-driven Key Performance Indicator Metadata 101

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

AWS Big Data

NOVEMBER 29, 2024

Customers often want to augment and enrich SAP source data with other non-SAP source data. Such analytic use cases can be enabled by building a data warehouse or data lake. Customers can now use the AWS Glue SAP OData connector to extract data from SAP.

Visualization 105

Visualization Data Processing Data-driven Cost-Benefit 105

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

OCTOBER 7, 2022

BI analysts, with an average salary of $71,493 according to PayScale , provide application analysis and data modeling design for centralized data warehouses and extract data from databases and data warehouses for reporting, among other tasks. BI encompasses numerous roles. The exams are multiple-choice.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

CIO Business Intelligence

APRIL 5, 2022

Investment in data warehouses is rapidly rising, projected to reach $51.18 billion by 2028 as the technology becomes a vital cog for enterprises seeking to be more data-driven by using advanced analytics. Data warehouses are, of course, no new concept. More data, more demanding. “As

Data Warehouse 98

Data Warehouse Visualization Data-driven Data Architecture 98

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

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

Jen Stirrup

MARCH 29, 2023

Despite technological advances, businesses still need help working with data. Data is complex, and companies often need to catch up on what they are trying to achieve. They are also starting to realize – and accept – that data is challenging. This post was kindly supported by SAP. Why is this interesting?

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

AWS Big Data

NOVEMBER 22, 2024

Keerthi Chadalavada is a Senior Software Development Engineer at AWS Glue, focusing on combining generative AI and data integration technologies to design and build comprehensive solutions for customers’ data and analytics needs. In his spare time, he enjoys cycling with his new road bike.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

AWS Big Data

JUNE 25, 2024

This post is co-authored by Vijay Gopalakrishnan, Director of Product, Salesforce Data Cloud. In today’s data-driven business landscape, organizations collect a wealth of data across various touch points and unify it in a central data warehouse or a data lake to deliver business insights.

Data Lake 122

Data Lake Cost-Benefit Data-driven Data Warehouse 122

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. Its also serverless, which means theres no infrastructure to manage.

Data Warehouse 54

Data Warehouse Data Architecture Machine Learning Data Transformation 54

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. For data warehouses, it can be a wide column analytical table.

Data Architecture 110

Data Architecture Data Integration IoT Data-driven 110

erwin

FEBRUARY 7, 2019

For example, manually managing data mappings for the enterprise data warehouse via MS Excel spreadsheets had become cumbersome and unsustainable for one BSFI company. It recognized the need for a solution to standardize the pre-ETL data mapping process to make data integration more efficient and cost-effective.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

Smart Data Collective

JULY 20, 2021

Big data technology is incredibly important in modern business. One of the most important applications of big data is with building relationships with customers. These software tools rely on sophisticated big data algorithms and allow companies to boost their sales, business productivity and customer retention.

Big Data 142

Big Data Sales Marketing Software 142

Cloudera

MARCH 11, 2021

Data flows are an integral part of every modern enterprise. At Cloudera, we’re helping our customers implement data flows on-premises and in the public cloud using Apache NiFi , a core component of Cloudera DataFlow.

Data Integration 119

Data Integration Data Warehouse Testing Enterprise 119

datapine

NOVEMBER 11, 2021

This data is usually saved in different databases, external applications, or in an indefinite number of Excel sheets which makes it almost impossible to combine different data sets and update every source promptly. BI tools aim to make data integration a simple task by providing the following features: a) Data Connectors.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

CIO Business Intelligence

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. They can no longer have “technology people” who work independently from “data people” who work independently from “sales” people or from “finance.”

Finance 145

Finance IoT Digital Transformation Sales 145

Smart Data Collective

APRIL 15, 2021

Set Up Data Integration. Data warehouses, a database that keeps the information in a processed and defined format, cannot connect directly to information sources, so data integration tools must process the raw data ahead of time to allow it to be usable. Choose an End-User Interface.

Business Intelligence 108

Business Intelligence Analytics Statistics Data Warehouse 108

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 93

Data Warehouse Data Lake Cost-Benefit Metadata 93

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

MARCH 22, 2022

One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Another option is a data warehouse, which stores processed and refined data. Set up unified data governance rules and processes.

Analytics 114

Analytics Key Performance Indicator Data Warehouse Data-driven 114

CIO Business Intelligence

APRIL 25, 2022

The data lakehouse is a relatively new data architecture concept, first championed by Cloudera, which offers both storage and analytics capabilities as part of the same solution, in contrast to the concepts for data lake and data warehouse which, respectively, store data in native format, and structured data, often in SQL format.

Recreation/Entertainment 118

Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 118

AWS Big Data

NOVEMBER 29, 2023

Today on the AWS re:Invent keynote stage, Swami Sivasubramanian, VP of Data and AI, AWS, spoke about the beneficial relationship among data, generative AI, and humans—all working together to unleash new possibilities in efficiency and creativity. There has never been a more exciting time in modern technology.

Data Warehouse 116

Data Warehouse Data Lake Dashboards Data Integration 116