CIO Business Intelligence

MARCH 6, 2024

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. In the SuccessFactors application, Joule will behave like an HR assistant.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Your data governance program needs to continually break down new siloes.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

JUNE 27, 2022

Mike Capone, CEO of analytics and data integration platform developer Qlik, and a former CIO, recommends working with functional area owners at the outset to gather and apply valuable contextual details. In fact, any metric can be misleading, especially if you don’t have a good overall understanding of the data. Going it alone.

Metrics 133

Metrics KPI IT Consulting 133

BI-Survey

AUGUST 21, 2020

It is noteworthy that business users in particular consider the inability to provide required data and the lack of user acceptance as even more important than enhanced self-service. In particular executives (31 percent) and business intelligence/analytics teams (30 percent) agree that software licenses are too expensive in general.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

AWS Big Data

JANUARY 30, 2025

Note: The provisioned cluster itself was deployed separately from the ETL architecture and remained unchanged throughout the migration process. AWS Glue A data integration service, AWS Glue consolidates major data integration capabilities into a single service. includes the ability to run Python scripts.

Data Warehouse 52

Data Warehouse Data Architecture Machine Learning Data Transformation 52

AWS Big Data

APRIL 3, 2024

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Andries has over 20 years of experience in the field of data and analytics.

Data Lake 105

Data Lake Snapshot Metadata Data Architecture 105

CIO Business Intelligence

MARCH 19, 2025

However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG data integrity and fostering collaboration with sustainability teams.

IT 59

IT Data Governance Data-driven Metrics 59

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. Conclusion In this post, we walked you through the process of using Amazon AppFlow to integrate data from Google Ads and Google Sheets.

Analytics 94

Analytics Data Warehouse Big Data Metrics 94

IBM Big Data Hub

MAY 15, 2024

Unified, governed data can also be put to use for various analytical, operational and decision-making purposes. This process is known as data integration, one of the key components to a strong data fabric. The remote execution engine is a fantastic technical development which takes data integration to the next level.

Cost-Benefit 67

Cost-Benefit Data Integration Data Architecture Manufacturing 67

BizAcuity

NOVEMBER 22, 2022

In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

CIO Business Intelligence

APRIL 5, 2022

“As data analytics have come to the forefront of data management, data warehouses have been transformed in line with the need for agility, scalability and iterative development processes,” explains Ibrahim Surani, CEO at Astera Software. Simplifying analytics workflows.

Data Warehouse 98

Data Warehouse Visualization Data-driven Data Architecture 98

erwin

MAY 13, 2020

DM delivers design task automation and enforcement to ensure data integrity. DM builds higher quality data sources with the appropriate structural veracity. DM delivers design task standardization to improve business alignment and simplify integration. DM builds a more agile and governable data architecture.

Data Governance 93

Data Governance Enterprise Modeling Management 93

AWS Big Data

SEPTEMBER 20, 2023

She is a data enthusiast who enjoys problem solving and tackling complex architectural challenges with customers. Keerthi Chadalavada is a Senior Software Development Engineer at AWS Glue. She is passionate about designing and building end-to-end solutions to address customer data integration and analytic needs.

Interactive 102

Interactive Visualization Measurement Data Architecture 102

CIO Business Intelligence

NOVEMBER 9, 2022

But everyone — not just technologists, but also business leaders — must have both accountability and skills for using real-time data to drive the business and grow revenue. Over the past decade, the company invested heavily in data platforms and data integration. Leveraging real-time data used to be a technology problem.

IT 98

IT Uncertainty Sales Strategy 98

AWS Big Data

APRIL 29, 2024

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).

Management 109

Management Big Data Data Warehouse Metadata 109

AWS Big Data

MAY 18, 2023

It’s even harder when your organization is dealing with silos that impede data access across different data stores. Seamless data integration is a key requirement in a modern data architecture to break down data silos. Noritaka Sekiyama is a Principal Big Data Architect on the AWS Glue team.

Testing 87

Testing Data Lake Cost-Benefit Data Integration 87

Ontotext

MAY 30, 2019

Which is what Linked Data technology is getting better at addressing in an increasing number of cases. Linked Data and Information Retrieval. Using Linked Data to enhance information retrieval is important for two reasons and they both have to do with making data useful by the help of a machine-processable context.

Cost-Benefit 87

Cost-Benefit Big Data Technology Metadata 87

AWS Big Data

OCTOBER 19, 2023

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. Various data stores are supported in AWS Glue; for example, AWS Glue 4.0

Data Lake 121

Data Lake Data Warehouse Visualization Snapshot 121

Ontotext

DECEMBER 1, 2023

Most famous for inventing the first wiki and one of the pioneers of software design patterns and Extreme Programming, he is no stranger to it. Sumit started his talk by laying out the problems in today’s data landscapes. One of the major challenges, he pointed out, was costly and inefficient data integration projects.

Metadata 78

Metadata Sales Machine Learning Consulting 78

AWS Big Data

SEPTEMBER 21, 2023

Satori accelerates implementing data security controls on datawarehouses like Amazon Redshift, is straightforward to integrate, and doesn’t require any changes to your Amazon Redshift data, schema, or how your users interact with data. A Redshift security group. To learn more, start a free trial or request a demo meeting.

Data Warehouse 98

Data Warehouse Interactive Data Architecture Data-driven 98

AWS Big Data

NOVEMBER 29, 2023

Maximize value with comprehensive analytics and ML capabilities “Amazon Redshift is one of the most important tools we had in growing Jobcase as a company.” – Ajay Joshi, Distinguished Engineer, Jobcase With all your data integrated and available, you can easily build and run near real-time analytics to AI/ML/Generative AI applications.

Data Warehouse 112

Data Warehouse Analytics Data Lake Machine Learning 112

Ontotext

MAY 30, 2019

Which is what Linked Data technology is getting better at addressing in an increasing number of cases. Linked Data and Information Retrieval. Using Linked Data to enhance information retrieval is important for two reasons and they both have to do with making data useful by the help of a machine-processable context.

Cost-Benefit 75

Cost-Benefit Big Data Technology Metadata 75

Ontotext

AUGUST 4, 2023

A data fabric utilizes an integrated data layer over existing, discoverable, and inferenced metadata assets to support the design, deployment, and utilization of data across enterprises, including hybrid and multi-cloud platforms.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

AWS Big Data

JANUARY 12, 2024

We have defined all layers and components of our design in line with the AWS Well-Architected Framework Data Analytics Lens. Organizations may not always have control over what data comes through these channels and into their downstream storage and applications. Outside of work, he enjoys playing tennis and biking.

Data Lake 108

Data Lake Cost-Benefit Visualization Structured Data 108

IBM Big Data Hub

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. IBM delivers this to our business partners through Operating Model Transformation , Tech and Data/AI Strategy , AI at Scale and Genomics Data Architecture offerings.

Informatics 62

Informatics Consulting Cost-Benefit Data Architecture 62

BizAcuity

APRIL 1, 2023

Introduction In today’s world that is largely data-driven, organizations depend on data for their success and survival, and therefore need robust, scalable data architecture to handle their data needs. AWS Glue and Snowflake make it easy to get started and manage your programmatic data integration processes.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

AWS Big Data

JUNE 10, 2024

Solving the small file problem and improving query performance In modern data architectures, stream processing engines such as Amazon EMR are often used to ingest continuous streams of data into data lakes using Apache Iceberg. This combination is the most refined way to have an enterprise-grade open data environment.

Data Lake 121

Data Lake Metadata Snapshot Analytics 121

AWS Big Data

JULY 20, 2023

With data becoming the driving force behind many industries today, having a modern data architecture is pivotal for organizations to be successful. These robust capabilities ensure that data within the data lake remains accurate, consistent, and reliable.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

BizAcuity

MAY 24, 2022

IaaS provides a platform for compute, data storage and networking capabilities. IaaS is mainly used for developing softwares (testing and development, batch processing), hosting web applications and data analysis. All kinds of softwares. Software as a Service (SaaS). Platform as a Service (PaaS).

Data-driven 52

Data-driven Cost-Benefit Digital Transformation Strategy 52

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Throughout this article, we will delve into beginner-friendly options and unveil the top ten BI software solutions that streamline operations and provide a competitive edge.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Alation

JULY 28, 2022

What Are the Biggest Drivers of Cloud Data Warehousing? It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. Cloud data should remove the infrastructure discussions and return attention to business, data, and outcomes.

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

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

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

B2B 87

B2B Consulting Sales Cost-Benefit 87

Cloudera

SEPTEMBER 7, 2023

Perhaps the biggest challenge of all is that AI solutions—with their complex, opaque models, and their appetite for large, diverse, high-quality datasets—tend to complicate the oversight, management, and assurance processes integral to data management and governance. Find out more about CDP, modern data architectures and AI here.

Insurance 83

Insurance Risk Data-driven Finance 83

TDAN

JULY 19, 2022

The notorious SolarWinds hack of 2020 sent shock waves across the software as a service world. In the attack, hackers gained access to the development pipeline for a SolarWinds financial management product— Orion. Once in, they were able to insert malware into the system.

Software 52

Software Management Data Architecture Data Integration 52

AWS Big Data

FEBRUARY 9, 2023

Customers across industries seek meaningful insights from the data captured in their Customer Relationship Management (CRM) systems. To achieve this, they combine their CRM data with a wealth of information already available in their data warehouse, enterprise systems, or other software as a service (SaaS) applications.

Data Warehouse 86

Data Warehouse Data-driven Snapshot Testing 86

AWS Big Data

JUNE 7, 2023

For this, Cargotec built an Amazon Simple Storage Service (Amazon S3) data lake and cataloged the data assets in AWS Glue Data Catalog. They chose AWS Glue as their preferred data integration tool due to its serverless nature, low maintenance, ability to control compute resources in advance, and scale when needed.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59