CIO Business Intelligence

FEBRUARY 27, 2025

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. Connecting mainframe data to the cloud also has financial benefits as it leads to lower mainframe CPU costs by leveraging cloud computing for data transformations. Four key challenges prevent them from doing so: 1.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

AWS Big Data

DECEMBER 16, 2024

With the ability to browse metadata, you can understand the structure and schema of the data source, identify relevant tables and fields, and discover useful data assets you may not be aware of. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team. In his spare time, he enjoys cycling with his new road bike.

Visualization 87

Visualization Data Processing Testing Publishing 87

datapine

MAY 2, 2023

Your Chance: Want to test a professional logistics analytics software? Use our 14-days free trial today & transform your supply chain! Your Chance: Want to test a professional logistics analytics software? Use our 14-days free trial today & transform your supply chain! Now’s the time to strike.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

AWS Big Data

APRIL 30, 2024

Amazon Q Developer can also help you connect to third-party, software as a service (SaaS), and custom sources. Amazon Q Developer can now generate complex data integration jobs with multiple sources, destinations, and data transformations. He is responsible for building software artifacts to help customers.

Data Integration 127

Data Integration Data Lake Data Warehouse Software 127

Alation

OCTOBER 26, 2021

Building a Data Culture Within a Finance Department. Our finance users tell us that their first exposure to the Alation Data Catalog often comes soon after the launch of organization-wide data transformation efforts. After all, finance is one of the greatest consumers of data within a business. Don’t overthink it.

Finance 52

Finance Data Transformation Enterprise Metrics 52

AWS Big Data

NOVEMBER 27, 2024

Together with price-performance, Amazon Redshift offers capabilities such as serverless architecture, machine learning integration within your data warehouse and secure data sharing across the organization. dbt Cloud is a hosted service that helps data teams productionize dbt deployments.

Data Warehouse 107

Data Warehouse Analytics Testing Modeling 107

CIO Business Intelligence

DECEMBER 22, 2022

According to Gartner, DataOps also aims “to deliver value faster by creating predictable delivery and change management of data, data models, and related artifacts.” DataKitchen, which specializes in DataOps observability and automation software, maintains that DataOps is not simply “DevOps for data.”

Analytics 130

Analytics Machine Learning Data mining Software 130

AWS Big Data

NOVEMBER 22, 2024

In this post, we’ll walk through an example ETL process that uses session reuse to efficiently create, populate, and query temporary staging tables across the full data transformation workflow—all within the same persistent Amazon Redshift database session.

Data Warehouse 104

Data Warehouse Recreation/Entertainment Cost-Benefit Data-driven 104

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

Even though the AI hype cycle appears to be fading, it’s still clear that the unglamorous field of artificial intelligence applied to enterprise software will be the most consequential technology change in business computing since the 1990s. The next important step is creating an enterprise planning and reporting database of record.

Forecasting 130

Forecasting Machine Learning Finance Predictive Analytics 130

AWS Big Data

APRIL 26, 2023

The data enrichment starts with an Oracle Database (Software Parts) that contains part numbers that are related to software. Because semiconductors are the basis for running software, this database builds the foundation of our data processing. The following diagram illustrates the approach.

Forecasting 142

Forecasting Manufacturing Data Lake Big Data 142

CIO Business Intelligence

DECEMBER 6, 2023

Meanwhile, a global vendor with resources deployed around the world, FPT Software’s ‘best shore’ model for example, can provide services to its clients optimally wherever they are. The relationship between the global aircraft manufacturer Airbus and FPT Software can epitomise this model.

Digital Transformation 116

Digital Transformation Software Cost-Benefit Manufacturing 116

CIO Business Intelligence

JANUARY 8, 2025

As VP of cloud capabilities at software company Endava, Radu Vunvulea consults with many CIOs in large enterprises. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system.

Data Processing 139

Data Processing Optimization Modeling Enterprise 139

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. Data virtualization is becoming more popular due to its huge benefits. Maximizing customer engagement.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

CIO Business Intelligence

FEBRUARY 20, 2024

The data transformation imperative What Denso and other industry leaders realise is that for IT-OT convergence to be realised, and the benefits of AI unlocked, data transformation is vital. The company can also unify its knowledge base and promote search and information use that better meets its needs.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

AWS Big Data

MAY 9, 2023

For workloads such as data transforms, joins, and queries, you can use G.1X With exponentially growing data sources and data lakes, customers want to run more data integration workloads, including their most demanding transforms, aggregations, joins, and queries. 1X (1 DPU) and G.2X DPU-hour ($) G.2X

Data Lake 110

Data Lake Cost-Benefit Data Integration Data Transformation 110

Cloudera

OCTOBER 7, 2022

dbt allows data teams to produce trusted data sets for reporting, ML modeling, and operational workflows using SQL, with a simple workflow that follows software engineering best practices like modularity, portability, and continuous integration/continuous development (CI/CD). The Open Data Lakehouse . Introduction.

Data Warehouse 81

Data Warehouse Data Transformation Machine Learning Data Lake 81

AWS Big Data

JANUARY 30, 2025

AWS Cloud Development Kit (AWS CDK) The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework for defining cloud infrastructure in code and provisioning it through AWS CloudFormation. Amazon AppFlow Amazon AppFlow enables simple integration with software as a service (SaaS) applications.

Data Warehouse 53

Data Warehouse Data Architecture Machine Learning Data Transformation 53

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. For users that require a unified view of software quality, this is unacceptable.

Software 52

Software Data Lake Testing Dashboards 52

AWS Big Data

JULY 25, 2024

OpenSearch Ingestion can ingest data from a wide variety of sources, such as Amazon Simple Storage Service (Amazon S3) buckets and HTTP endpoints, and has a rich ecosystem of built-in processors to take care of your most complex data transformation needs.

Cost-Benefit 126

Cost-Benefit Machine Learning Dashboards Management 126

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

DataKitchen

OCTOBER 5, 2021

The data organization wants to run the Value Pipeline as robustly as a six sigma factory, and it must be able to implement and deploy process improvements as rapidly as a Silicon Valley start-up. The data engineer builds data transformations. Their product is the data. Unlike software dev, data can’t be automated.

Testing 152

Testing Dashboards Measurement Experimentation 152

AWS Big Data

AUGUST 8, 2024

Oracle GoldenGate for Oracle Database and Big Data adapters Oracle GoldenGate is a real-time data integration and replication tool used for disaster recovery, data migrations, high availability. Configure GoldenGate for Oracle Database and extract data from the Oracle database to trail files.

Analytics 110

Analytics Big Data Software Data Integration 110

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

JANUARY 12, 2023

Each strategy will be different according to the unique needs of the university, but at a minimum it should include the following: Evaluation of current data estate to understand pinch points and siloes so these can start to be tackled. Comprehensive upskilling programme to overcome data skills gaps.

Data Strategy 98

Data Strategy Strategy IT Consulting 98

AWS Big Data

JANUARY 6, 2025

In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup. With Amazon AppFlow, you can run data flows at nearly any scale and at the frequency you chooseon a schedule, in response to a business event, or on demand.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

erwin

SEPTEMBER 17, 2020

Data automation reduces the loss of time in collecting, processing and storing large chunks of data because it replaces manual processes (and human errors) with intelligent processes, software and artificial intelligence (AI).

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

DataKitchen

DECEMBER 9, 2022

Both DevOps and DataOps are approaches to managing and optimizing the development and deployment of software and other applications, with a focus on collaboration, automation, and continuous improvement. Query> Is DataOps something that can be solved with software or is it more of a people process?

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

Sisense

DECEMBER 12, 2019

Building a data-driven business includes choosing the right software and implementing best practices around its use. Every year when budget time rolls around, many organizations find themselves asking the same question: “what are we going to do about our data?” Scalability and flexibility of software determine its longevity.

Business Intelligence 88

Business Intelligence Software Data-driven Visualization 88

AWS Big Data

JULY 18, 2024

For the updateRequestProcessorChain , OpenSearch provides the ingest pipeline , allowing the enrichment or transformation of data before indexing. Multiple processor stages can be chained to form a pipeline for data transformation. However, it’s strongly recommended to do the data transformation outside OpenSearch.

Dashboards 112

Dashboards Testing Data-driven Visualization 112

AWS Big Data

JULY 10, 2024

This allows data analysts and data scientists to rapidly construct the necessary data preparation steps to meet their business needs. We use the new data preparation authoring capabilities to create recipes that meet our specific business needs for data transformations.

Interactive 115

Interactive Visualization Data Integration Statistics 115

erwin

MARCH 4, 2021

In addition to drivers like digital transformation and compliance, it’s really important to look at the effect of poor data on enterprise efficiency/productivity. The Benefits of erwin Data Intelligence.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Jen Stirrup

SEPTEMBER 30, 2021

AI vs ML vs Data Science vs Business Intelligence. Before we dive in, let’s define strands of AI, Machine Learning and Data Science: Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

Insight

APRIL 8, 2020

Having run a data engineering program at Insight for several years, we’ve identified three broad categories of data engineers: Software engineers who focus on building data pipelines. In some cases, they work to deploy data science models into production with an eye towards optimization, scalability and maintainability.

Data Warehouse 96

Data Warehouse Cost-Benefit Software Optimization 96

CIO Business Intelligence

JANUARY 24, 2024

Overlooking these data resources is a big mistake. The proper use of unstructured data will become of increasing importance to IT leaders,” says Kevin Miller, CTO of enterprise software developer IFS. “It This empowers data users to make decisions informed by data and in real-time with increased confidence.”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

Smarten

MAY 13, 2024

It is an interchange format that provides a method by which analytical applications and software can describe and exchange predictive models. It is an interchange format that provides a method by which analytical applications and software can describe and exchange predictive models.’ PMML is Predictive Model Markup Language.

Predictive Modeling 64

Predictive Modeling Data mining Predictive Analytics Modeling 64

AWS Big Data

AUGUST 9, 2024

After the read query validation stage was complete and we were satisfied with the performance, we reconnected our orchestrator so that the data transformation queries could be run in the new cluster. About the Authors Valdiney Gomes is Data Engineering Coordinator at Dafiti.

Data Lake 111

Data Lake Analytics Data Warehouse Data-driven 111

IBM Big Data Hub

NOVEMBER 20, 2023

Today’s healthcare providers use a wide variety of applications and data across a broad ecosystem of partners to manage their daily workflows. Integrating these applications and data is critical to their success, allowing them to deliver patient care efficiently and effectively.

Cost-Benefit 87

Cost-Benefit Data-driven Data Transformation Management 87