O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially.

IoT 100

IoT Machine Learning Metadata Data-driven 100

DataKitchen

JANUARY 25, 2022

When internal resources fall short, companies outsource data engineering and analytics. There’s no shortage of consultants who will promise to manage the end-to-end lifecycle of data from integration to transformation to visualization. . The challenge is that data engineering and analytics are incredibly complex.

Consulting 244

Consulting Testing Data Lake Data Quality 244

David Menninger's Analyst Perspectives

DECEMBER 31, 2024

The evolution from basic task automation platforms to advanced task orchestration and management marks a milestone in the journey toward Intelligent Automation. Enhanced analytics driven by AI can identify patterns and trends, allowing enterprises to better predict future business needs.

Cost-Benefit 130

Cost-Benefit Data-driven Enterprise Business Objectives 130

AWS Big Data

JULY 10, 2024

Now you can author data preparation transformations and edit them with the AWS Glue Studio visual editor. The AWS Glue Studio visual editor is a graphical interface that enables you to create, run, and monitor data integration jobs in AWS Glue. She is passionate about helping customers build data lakes using ETL workloads.

Interactive 106

Interactive Visualization Data Integration Statistics 106

datapine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

OCTOBER 11, 2024

By implementing a robust snapshot strategy, you can mitigate risks associated with data loss, streamline disaster recovery processes and maintain compliance with data management best practices. This post provides a detailed walkthrough about how to efficiently capture and manage manual snapshots in OpenSearch Service.

Snapshot 97

Snapshot Dashboards Management Testing 97

AWS Big Data

DECEMBER 4, 2024

From the Unified Studio, you can collaborate and build faster using familiar AWS tools for model development, generative AI, data processing, and SQL analytics. You can use a simple visual interface to compose flows that move and transform data and run them on serverless compute.

Visualization 101

Visualization Sales Data-driven Analytics 101

O'Reilly on Data

FEBRUARY 11, 2019

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. Data Platforms. Data Integration and Data Pipelines. Security and Privacy.

Big Data 260

Big Data Technology Machine Learning Deep Learning 260

DataKitchen

APRIL 28, 2021

Data organizations are buckling under the strain of numerous data pipelines acting on large, complex, and distributed data sets. Data fabrics purport to offer a unified approach to manage the cacophony of heterogeneous toolchains being thrown at data problems. Start with a DataOps Process Fabric.

Statistics 246

Statistics Optimization Data Analytics Technology 246

CIO Business Intelligence

JUNE 21, 2022

In a bid to help enterprises offer better customer service and experience , Amazon Web Services (AWS) has added a new case management feature, dubbed Amazon Cases, to its Amazon Connect cloud-based contact center service. Lack of clarity in product placement.

Management 115

Management Machine Learning Interactive Marketing 115

AWS Big Data

MARCH 14, 2024

VMware Tanzu CloudHealth is the cloud cost management platform of choice for more than 20,000 organizations worldwide, who rely on it to optimize and govern their largest and most complex multi-cloud environments. to Amazon Managed Streaming for Apache Kafka (Amazon MSK) running version 2.6.2. We hadn’t updated Kafka version 2.0.0

Management 121

Management Insurance Optimization Strategy 121

AWS Big Data

NOVEMBER 11, 2024

Amazon OpenSearch Service is a fully managed service offered by AWS that enables you to deploy, operate, and scale OpenSearch domains effortlessly. OpenSearch is a distributed search and analytics engine, which is an open-source project. This makes sure only authorized entities can create, manage, or restore snapshots.

Snapshot 97

Snapshot Strategy Dashboards Data Lake 97

IBM Big Data Hub

APRIL 27, 2022

Data fabric and data mesh are emerging data management concepts that are meant to address the organizational change and complexities of understanding, governing and working with enterprise data in a hybrid multicloud ecosystem. The good news is that both data architecture concepts are complimentary.

Management 79

Management Metadata Data Architecture Data Lake 79

AWS Big Data

DECEMBER 17, 2024

These improvements collectively reinforce Amazon Redshifts focus as a leading cloud data warehouse solution, offering unparalleled performance and value to customers. General availability of multi-data warehouse writes Amazon Redshift allows you to seamlessly scale with multi-cluster deployments.

Data Lake 81

Data Lake Data Warehouse Data-driven Optimization 81

AWS Big Data

NOVEMBER 29, 2024

By using the AWS Glue OData connector for SAP, you can work seamlessly with your data on AWS Glue and Apache Spark in a distributed fashion for efficient processing. AWS Glue OData connector for SAP uses the SAP ODP framework and OData protocol for data extraction. For the solution in this post, name the role GlueServiceRoleforSAP.

Visualization 90

Visualization Data Processing Data-driven Cost-Benefit 90

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. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Analytics 94

Analytics Data Warehouse Big Data Metrics 94

AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. To overcome these hurdles, many organizations are building bespoke integrations between services, tools, and homegrown access management systems.

Analytics 92

Analytics Data Lake Data Warehouse Data-driven 92

Data Virtualization

NOVEMBER 15, 2022

Reading Time: 3 minutes Many businesses are moving towards a cloud-based approach in terms of managing their data, but that doesn’t mean that incorporating the cloud into businesses is an easy process. The post Is Cloud Data Integration the Secret to Alleviating Data Connectivity Woes?

Data Integration 52

Data Integration Management Data Science Data Analytics 52

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. One of the key benefits of DataOps is the ability to accelerate the development and deployment of data-driven solutions.

Machine Learning 130

Machine Learning Data-driven Optimization Data Analytics 130

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. The CloudFormation stack also deploys a provisioned Redshift cluster.

Data Analytics 105

Data Analytics Analytics Data Warehouse Data Lake 105

AWS Big Data

SEPTEMBER 12, 2024

Alternatively, you might treat them as code and use source code control to manage their evolution over time. Amazon Bedrock is a fully managed service that makes high-performing FMs from leading AI startups and Amazon available through a unified API.

Management 85

Management Analytics Data Lake Interactive 85

DataKitchen

MAY 10, 2021

That’s a fair point, and it places emphasis on what is most important – what best practices should data teams employ to apply observability to data analytics. We see data observability as a component of DataOps. In our definition of data observability, we put the focus on the important goal of eliminating data errors.

Testing 214

Testing Manufacturing Data Quality Statistics 214

AWS Big Data

AUGUST 22, 2024

Kaplan data engineers empower data analytics using Amazon Redshift and Tableau. The infrastructure provides an analytics experience to hundreds of in-house analysts, data scientists, and student-facing frontend specialists. With this, we were able to run the complete data flow using a single DAG.

Data Warehouse 114

Data Warehouse Data Lake Data Integration Management 114

bridgei2i

APRIL 28, 2020

And so that process with curation or identifying which data potentially is a leading indicator and then test those leading indicators. It takes a lot of data science, a lot of data curation, a lot of data integration that many companies are not prepared to shift to as quickly as the current crisis demands.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Data Virtualization

JANUARY 19, 2023

Unfortunately, with data spread. The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

erwin

JANUARY 30, 2020

The results of our new research show that organizations are still trying to master data governance, including adjusting their strategies to address changing priorities and overcoming challenges related to data discovery, preparation, quality and traceability. And close to 50 percent have deployed data catalogs and business glossaries.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

CIO Business Intelligence

SEPTEMBER 23, 2024

For sectors such as industrial manufacturing and energy distribution, metering, and storage, embracing artificial intelligence (AI) and generative AI (GenAI) along with real-time data analytics, instrumentation, automation, and other advanced technologies is the key to meeting the demands of an evolving marketplace, but it’s not without risks.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

DataKitchen

JANUARY 19, 2022

The Matillion data integration and transformation platform enables enterprises to perform advanced analytics and business intelligence using cross-cloud platform-as-a-service offerings such as Snowflake. Matillion offers powerful data integration and transformation capabilities that improve development productivity.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

CIO Business Intelligence

DECEMBER 20, 2022

The good news is that health systems now have options for managing their Epic solution, thanks to advancements in hybrid multicloud and integrated support services. But as with many industries, the global pandemic served as a cloud accelerant.

Cost-Benefit 134

Cost-Benefit Optimization Software Machine Learning 134

AWS Big Data

AUGUST 19, 2024

As organizations increasingly rely on data stored across various platforms, such as Snowflake , Amazon Simple Storage Service (Amazon S3), and various software as a service (SaaS) applications, the challenge of bringing these disparate data sources together has never been more pressing.

Analytics 107

Analytics Data-driven Data Integration Data Lake 107

DataKitchen

NOVEMBER 18, 2021

We thought it would be interesting to look at how data engineers are doing under these circumstances. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing. The top-line result was that 97% of data engineers are feeling burnout. .

Testing 246

Testing Data Governance Measurement Software 246

AWS Big Data

OCTOBER 27, 2023

Data integration is the foundation of robust data analytics. It encompasses the discovery, preparation, and composition of data from diverse sources. In the modern data landscape, accessing, integrating, and transforming data from diverse sources is a vital process for data-driven decision-making.

Analytics 110

Analytics Visualization Data Integration Cost-Benefit 110

Smart Data Collective

OCTOBER 13, 2021

If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. Partner Solutions Architect in Data and Analytics at AWS.

Data Analytics 52

Data Analytics Analytics Data Warehouse Data Processing 52

CIO Business Intelligence

MAY 7, 2024

In 2023, ADNOC announced that it generated 500 USD million in value by deploying AI solutions, from the integration of over 30 industry-leading AI tools across its full value chain, from field operations to smarter and quicker corporate decision-making.

Big Data 98

Big Data Data Integration Data Analytics Technology 98