AWS Big Data

APRIL 30, 2024

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language.

Data Integration 107

Data Integration Data Lake Data Warehouse Software 107

Smart Data Collective

SEPTEMBER 4, 2023

With the rapid advancement of technology, businesses have streamlined many of their operations to ensure speed and efficiency. It’s a system that utilizes technology to convert, store, manage, and track documents without human intervention. But just like any other technology, it presents challenges—one of which is security.

Data Integration 112

Data Integration Cost-Benefit Consulting Software 112

AWS Big Data

DECEMBER 20, 2024

Amazon Q data integration , introduced in January 2024, allows you to use natural language to author extract, transform, load (ETL) jobs and operations in AWS Glue specific data abstraction DynamicFrame. In this post, we discuss how Amazon Q data integration transforms ETL workflow development.

Data Integration 85

Data Integration Visualization Data Processing Data Lake 85

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 324

Management Data Warehouse Data Quality Data Integration 324

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.

Data Integration 119

Data Integration Data Lake Data Warehouse Metadata 119

O'Reilly on Data

FEBRUARY 4, 2019

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines.

Machine Learning 278

Machine Learning Enterprise IoT Big Data 278

AWS Big Data

DECEMBER 4, 2024

With the growing emphasis on data, organizations are constantly seeking more efficient and agile ways to integrate their data, especially from a wide variety of applications. We take care of the ETL for you by automating the creation and management of data replication. Glue ETL offers customer-managed data ingestion.

Data Integration 89

Data Integration Data Lake Statistics Data-driven 89

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 115

Technology Digital Transformation Data Warehouse Business Intelligence 115

Smart Data Collective

OCTOBER 26, 2023

AI technology is helping with cybersecurity in a myriad of ways. The proliferation of cybersecurity firms reflects the increasing sophistication of cyber threats in today’s technology-driven society. As the IoT and cloud security continues to grow, it is essential to stay educated on the latest technology developments.

Technology 102

Technology Risk Measurement Data-driven 102

O'Reilly on Data

OCTOBER 11, 2022

They are all likely to exist in some kind of silo that’s difficult to access from the outside the group that created the silo–and the reason for that difficulty may be political as well as technological. So from the start, we have a data integration problem compounded with a compliance problem.

Data Integration 312

Data Integration Insurance Dashboards Data-driven 312

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 265

Machine Learning Data Quality Statistics Modeling 265

David Menninger's Analyst Perspectives

OCTOBER 7, 2021

The technology industry throws around a lot of similar terms with different meanings as well as entirely different terms with similar meanings. In this post, I don’t want to debate the meanings and origins of different terms; rather, I’d like to highlight a technology weapon that you should have in your data management arsenal.

Technology 246

Technology Management Data Lake IT 246

DataKitchen

APRIL 28, 2021

Gartner included data fabrics in their top ten trends for data and analytics in 2019. From an industry perspective, the topic of data fabrics is on fire. What is a Data Fabric? Whenever a new technology or architecture gains momentum, vendors hijack it for their own marketing purposes.

Statistics 246

Statistics Optimization Data Analytics Technology 246

O'Reilly on Data

JANUARY 29, 2019

In 2018, we decided to run a follow-up survey to determine whether companies’ machine learning (ML) and AI initiatives are sustainable—the results of which are in our recently published report, “ Evolving Data Infrastructure.”.

Deep Learning 212

Deep Learning Machine Learning Data Science Metadata 212

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 312

Testing Machine Learning Consulting Data Quality 312

CIO Business Intelligence

OCTOBER 9, 2024

As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations.

Strategy 143

Strategy Modeling Management Data Lake 143

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. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

Jet Global

DECEMBER 5, 2024

New drivers simplify Workday data integration for enhanced analytics and reporting RALEIGH, N.C. – The Simba Workday drivers provide secure access to Workday data for analytics, ETL (extract, transform, load) processes, and custom application development using both ODBC and JDBC technologies.

Data Integration 52

Data Integration Finance Data-driven Reporting 52

CIO Business Intelligence

JUNE 16, 2022

Most organizations (81%) don’t have an enterprise data strategy that enables them to fully capitalize on their data assets, according to Accenture. IT funding might be on the rise, but the ROI for the business from technology investments isn’t as high as it should be. Innovation at integration points.

IT 135

IT Experimentation IoT Data-driven 135

CIO Business Intelligence

DECEMBER 20, 2024

On the other hand, DMBOK 2 defines data modeling as, the process of discovering, analyzing, representing, and communicating data requirements in a precise form called the data model. Data modeling takes a more focused view of specific systems or business cases. Data integrity. Scalable data pipelines.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

CIO Business Intelligence

JULY 18, 2024

Emerging technologies are transforming organizations of all sizes, but with the seemingly endless possibilities they bring, they also come with new challenges surrounding data management that IT departments must solve. This is why data discovery and data transparency are so important.

Management 111

Management Internet of Things IoT Metadata 111

DataKitchen

NOVEMBER 10, 2023

Implement a communication protocol that swiftly informs stakeholders, allowing them to brace for or address the potential impacts of the data change. Building a Culture of Accountability: Encourage a culture where data integrity is everyone’s responsibility.

Data Quality 145

Data Quality Testing Data Lake Data Integration 145

David Menninger's Analyst Perspectives

OCTOBER 24, 2024

Although the terms data fabric and data mesh are often used interchangeably, I previously explained that they are distinct but complementary. I assert that by 2027, three-quarters of enterprises will adopt data fabric technologies to facilitate the management and processing of data across multiple data platforms and cloud environments.

Management 130

Management Data-driven Data Governance Data Lake 130

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Right-size your model(s).

Uncertainty 142

Uncertainty Data Lake Consulting Risk 142

CIO Business Intelligence

NOVEMBER 18, 2024

Even beyond customer contact, bankers see generative AI as a key transformative technology for their company. According to the study, the biggest focus in the next three years will be on AI-supported data analysis, followed by the use of gen AI for internal use.

Digital Transformation 141

Digital Transformation Consulting Cost-Benefit Marketing 141

CIO Business Intelligence

NOVEMBER 17, 2022

A key component to the appeal of cloud-first business models is cloud technologies’ ability to simplify processes and streamline workflows through integration and automation. This is especially true for content management operations looking to navigate the complexities of data compliance while getting the most from their data.

Software 144

Software Management Digital Transformation Data Governance 144

CIO Business Intelligence

OCTOBER 29, 2024

I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. This will require the adoption of new processes and products, many of which will be dependent on well-trained artificial intelligence-based technologies.

Enterprise 134

Enterprise Broadcasting Risk Sales 134

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

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

This shift not only reduces the chances of human error but also elevates the quality of outputs across various departments, which reflects a broader trend of harnessing technology to drive meaningful transformation in the workplace. Such investments position enterprises to respond more effectively to market changes and customer demands.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

Cloudera

MARCH 11, 2021

Even though no-code, graphical tools like Apache NiFi make building data flows more accessible to non-coders, most data flows are still being built by specialized teams who are solely responsible for data integration.

Data Integration 119

Data Integration Data Warehouse Testing Enterprise 119

CIO Business Intelligence

AUGUST 2, 2024

While there’s more than 10% of capacity available in Europe, Latin America, and the greater Asia Pacific region in 2024, the growth of AI, cloud computing providers, and other power-hungry applications requires a new approach to data center operations, the report says. Data center operators can use AI to monitor efficiency, he says. “By

Reporting 141

Reporting Machine Learning Consulting Enterprise 141

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

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 136

Data Warehouse Big Data Data-driven Technology 136

Juice Analytics

MAY 11, 2020

Among all the technologies and initiatives that respondents consider important, the item that topped the list was reporting. Among all the hot analytics initiatives to choose from (big data, IoT, NLP, data storytelling, cognitive BI, GDPR), plain old reporting is what is considered the most important strategic initiative.

Reporting 134

Reporting Analytics IT Data Lake 134

Smart Data Collective

JUNE 1, 2022

Additionally, when we classify the data that these corporations hold, we find that some of them are so sensitive that they are central to the operation. Therefore, data security has become the need of the hour. With the evolution of digital technology, cybercrime has also evolved. Data integrity is important.

Revenue Optimization 141

Revenue Optimization Measurement Marketing Interactive 141

Smart Data Collective

MAY 23, 2021

Artificial intelligence (AI) and machine learning (ML) are two technologies that use digital technology to improve conventional financial services and solutions. Fintech companies are collaborating with growth and technology leaders to create innovative, efficient, and customized concepts. Client Risk Profile Categorization.

Insurance 124

Insurance Machine Learning Cost-Benefit Data-driven 124