AWS Big Data

SEPTEMBER 28, 2023

In EDAs, modern event brokers, such as Amazon EventBridge and Apache Kafka, play a key role to publish and subscribe to events. EventBridge is a serverless event bus that ingests data from your own apps, software as a service (SaaS) apps, and AWS services and routes that data to targets.

Data-driven 138

Data-driven Metrics Publishing Management 138

CIO Business Intelligence

SEPTEMBER 26, 2024

Dynamics 365 Business Central is Microsoft’s flagship SMB ERP product, optimized to help businesses thrive in a new world of cloud and AI computing,” Morton said in a blog post announcing the end of support. The latest data show that 2/3 of legacy SAP clients have not made the migration to S/4 HANA, as an example,” Bickley said.

Risk 130

Risk Enterprise Strategy Software 130

datapine

FEBRUARY 3, 2022

With the rise of modern self-service BI tools , everyone can monitor relevant performance indicators in a matter of seconds. Having the ability to analyze your data fast and efficiently doesn’t always mean you are doing it correctly. Here we will explain two of them: the SMARTER and the Six A’s methods. click to enlarge**.

Metrics 189

Metrics KPI Key Performance Indicator Sales 189

AWS Big Data

OCTOBER 3, 2023

A data lake is a centralized repository that you can use to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data and then run different types of analytics for better business insights. Analytics use cases on data lakes are always evolving.

Data Lake 121

Data Lake Metadata Snapshot Recreation/Entertainment 121

datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 105

Data Warehouse Testing Data Lake Data-driven 105

AWS Big Data

JULY 25, 2024

AWS Data Pipeline helps customers automate the movement and transformation of data. With Data Pipeline, customers can define data-driven workflows, so that tasks can be dependent on the successful completion of previous tasks. Some customers want a deeper level of control and specificity than possible using Data Pipeline.

Visualization 113

Visualization Management Data Integration Testing 113

Cloudera

DECEMBER 20, 2023

In this post we’ll give you an overview of these new and expanded partnerships and how we see them fitting into the emerging AI technology stack that supports the AI application lifecycle. We’ll start with the enterprise AI stack. Those models are trained or augmented with data from a data management platform.

Enterprise 71

Enterprise Machine Learning Modeling Data Warehouse 71

CIO Business Intelligence

OCTOBER 22, 2024

A market in need of more interoperability Systems integrators and cloud services teams have stepped in to remedy some of multicloud’s interoperability hurdles, but the optimal solution is for public cloud providers to build APIs directly into the cloud stack layer, Gartner’s Nag says. Oracle is providing a different template.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays!

Analytics 91

Analytics Dashboards Statistics Visualization 91

IBM Big Data Hub

SEPTEMBER 12, 2023

The notion that you can create an observable system without observability-driven automation is a myth because it underestimates the vital role observability-driven automation plays in modern IT operations. Observing and interpreting data manually can lead to inconsistencies and oversight, potentially causing critical issues to be overlooked.

Data-driven 63

Data-driven Cost-Benefit Predictive Analytics Machine Learning 63

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. On the one hand, basic statistical models (e.g.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

IBM Big Data Hub

MAY 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. AI is already driving results for business. Watsonx.ai Watsonx.ai

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

Sisense

APRIL 17, 2020

Money never sleeps and neither does your data. In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data. Experiment to guide a winning data strategy.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

IBM Big Data Hub

SEPTEMBER 20, 2023

With the increasing importance of processing data where work is being performed, serving AI models at the enterprise edge enables near-real-time predictions, while abiding by data sovereignty and privacy requirements. First, enterprises produce a vast amount of unlabeled data, only a fraction of which is labeled for AI model training.

Modeling 83

Modeling Enterprise Software Data Science 83

Andrew White

DECEMBER 4, 2019

If you read my blog regularly then you know I rarely write about IT vendors. The only time I have blogged about vendors was to comment on their messages or call out an interesting and contrary observation. This acquisition followed another with Mulesoft, a data integration vendor. That’s the way it is.

Digital Transformation 64

Digital Transformation Data Quality Data Integration Data Warehouse 64

AWS Big Data

MARCH 27, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data.

Testing 111

Testing Data Warehouse Metrics Cost-Benefit 111

Sisense

NOVEMBER 12, 2020

Data warehouse vs. databases Traditional vs. Cloud Explained Cloud data warehouses in your data stack A data-driven future powered by the cloud. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. And where does all this data live?

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

datapine

MARCH 22, 2019

Here are the 5 essential steps to measure customer satisfaction: Draft your goals and create a plan: You have to decide which customer data is worth collecting and how it will be processed later. Some examples for triggering event data include time since signup for a product, or complete user onboarding.

Metrics 134

Metrics Dashboards Measurement Interactive 134

IBM Big Data Hub

FEBRUARY 2, 2022

y/y based on the most recent data available. [1] Even as organizations benefit from AI, IBM is well-aware of the tide of concerns over data privacy and responsible use of technology and remains committed to trust as one of its defining characteristics of AI for business. Explainability. and +46.6% Robustness.

Software 52

Software Marketing Reporting Digital Transformation 52

AWS Big Data

JANUARY 22, 2024

The company uses AWS Cloud services to build data-driven products and scale engineering best practices. To ensure a sustainable data platform amid growth and profitability phases, their tech teams adopted a decentralized data mesh architecture. The solution Acast implemented is a data mesh, architected on AWS.

Data-driven 110

Data-driven Advertising Metadata Data Architecture 110

Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

Metadata 52

Metadata IT Data-driven Metrics 52

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that. What is data democratization?

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

APRIL 26, 2023

This is a guest blog post co-written with Corey Johnson from Huron. In addition, these product dashboards may be forked for customer-specific customization to support a consulting engagement while still consuming from Huron’s productized data assets and datasets.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Hurwitz & Associates

APRIL 19, 2018

The company focuses on telecommunications, IT consulting services and solutions, data management, customer relationship management and service management. While it is impossible in a blog to explain all the nuances of Atos’s approach to the market, I want to provide some of my observations about this intriguing company.

IT 40

IT Consulting IoT Strategy 40

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. I expect to see the following data and knowledge management trends emerge in 2024. However, organizations need to be aware that these may be nothing more than bolted-on Band-Aids.

Strategy 52

Strategy Management Metadata Data-driven 52

IBM Big Data Hub

AUGUST 1, 2023

This explains the existence of both incident and problem management, two important processes for issue and error control, maintaining uptime, and ultimately, delivering a great service to customers and other stakeholders. Organizations increasingly depend on digital technologies to serve their customers and collaborate with partners.

Management 57

Management Key Performance Indicator Software Cost-Benefit 57

Jet Global

SEPTEMBER 29, 2021

The Importance of Data-Driven Finance Leaders. To meet this shift in roles, the new breed of Finance leader is increasingly becoming data-driven, combining quality data drawn from multiple sources to put strategic decisions in context and choose the highest-impact business direction. So, how data-driven is your team?

Data-driven 40

Data-driven Finance Data Collection Metrics 40

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. IMO, the theme here is to shift more of the deeper aspects of inference – such as explainability, auditability, trust, etc. A Survey Of Methods For Explaining Black Box Models ”. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Insight

DECEMBER 30, 2019

Wikipedia In our last blog , we walked through a super fast introduction of “vanilla” flavored neural networks. Next, we will explain how each layer works, why they are ordered this way, and how everything comes together to form such a powerful model. We talked about how a vanilla neural net is made up of one or more “hidden” layers.

Visualization 72

Visualization Machine Learning Modeling IT 72

CIO Business Intelligence

NOVEMBER 25, 2024

When it embarked on an ERP modernization project, the second time proved to be the charm for Allegis Corp., The ERP modernization mandate ERP modernization is both a big undertaking and a big mandate for CIOs — and not one most relish having to do. which performed two ERP deployments in seven years.

Digital Transformation 131

Digital Transformation Data Warehouse Data Governance Enterprise 131

O'Reilly on Data

APRIL 15, 2025

Teams think theyre data-driven because they have dashboards, but theyre tracking vanity metrics that dont correlate with real user problems. Heres Jacob explaining this process himself: Bottom-Up Versus Top-Down Analysis When identifying error types, you can take either a top-down or bottom-up approach. Let me show you what I mean.

Experimentation 330

Experimentation Testing Metrics Measurement 330

Depict Data Studio

APRIL 21, 2025

I trimmed down the interview for you here: [link] What’s Inside 0:00 Welcome 4:50 Spilled ranges: What makes interactive data visualizations like this possible in Excel 8:33 How to make interactive parallel coordinates in Excel (via a scatter plot!?!) And I thought, I bet that’s a stacked column chart. A scatter plot.

Interactive 52

Interactive Visualization Modeling IT 52