CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

FEBRUARY 16, 2024

From the moment your data is put into a partner-managed environment, you lose control of it. Regaining control When you’re running a smelter that operates 24/7 — with an ERP system that houses data pertaining to around 30 000 lines of stock — and you’re unable to access the information you need, when you need it, the impact can be serious.

IT 116

IT Digital Transformation Data Architecture Management 116

AWS Big Data

JANUARY 8, 2024

We’re living in the age of real-time data and insights, driven by low-latency data streaming applications. The volume of time-sensitive data produced is increasing rapidly, with different formats of data being introduced across new businesses and customer use cases.

Analytics 111

Analytics IoT Data-driven Snapshot 111

CIO Business Intelligence

JUNE 29, 2022

The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. An enterprise that focuses on building an event-based architecture for real-time applications will be in a much better position to build a real-time analytics platform.

Interactive 98

Interactive Data-driven Data Architecture Software 98

AWS Big Data

SEPTEMBER 20, 2023

In this post, we look at how we can use matplotlib and Seaborn to explore and visualize data using AWS Glue interactive sessions, facilitating rapid insights without complex infrastructure setup. She is a data enthusiast who enjoys problem solving and tackling complex architectural challenges with customers. and later).

Interactive 88

Interactive Visualization Measurement Data Architecture 88

Ontotext

APRIL 10, 2024

The data ecosystem today is crowded with dazzling buzzwords, all fighting for investment dollars. A survey in 2021 found that a data company was being funded every 45 minutes. Data ecosystems have become jungles and in spite of all the technology, data teams are struggling to create a modern data experience.

Metadata 52

Metadata Data Lake Data Warehouse Data Quality 52

AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 80

Data Lake Data Governance Data Architecture Machine Learning 80

CIO Business Intelligence

FEBRUARY 21, 2023

In other words, stop thinking big bangs, seek out smaller, quicker victories. He further explains: “With an agile team we understood quickly that we needed additional data fields in existing data requests and transfers with our distributors.

Digital Transformation 145

Digital Transformation Marketing Technology Software 145

datapine

AUGUST 20, 2019

Businesses are going through a major change where business operations are becoming predominantly data-intensive. quintillions of bytes of data are being created each day. This pace suggests that 90% of the data in the world is generated over the past two years alone. Data has grown not only in terms of size but also variety.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

CIO Business Intelligence

FEBRUARY 28, 2023

By Thomas Been, DataStax Building data-driven, high-growth businesses takes a certain kind of roll-up-your-sleeves, determined, and smart builder who understands the importance of building a unified, foundational data architecture. SupPlant Revital Kremer is greedy for data. We call these people Digital Champions.

B2B 98

B2B Data-driven Digital Transformation Data Architecture 98

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. We made a commitment to be truly cloud native and build an architecture that wasn’t burdened by any legacy infrastructure,” says Cox.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

AWS Big Data

FEBRUARY 6, 2023

In this post, we dive deep into the tool, walking through all steps from log ingestion, transformation, visualization, and architecture design to calculate TCO. With QuickSight, you can visualize YARN log data and conduct analysis against the datasets generated by pre-built dashboard templates and a widget.

Dashboards 74

Dashboards Optimization Data Lake Cost-Benefit 74

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents. The second best time is now.”

Strategy 116

Strategy Management Key Performance Indicator ROI 116

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. The following diagram illustrates this architecture.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. Luckily, today’s data management approaches aren’t limited by traditional constraints like location or data patterns.

Data Strategy 57

Data Strategy Strategy Business Objectives Data-driven 57

CIO Business Intelligence

JULY 19, 2023

As software and data move to the center of a company’s products and services, the background and skills of the executive leadership team must evolve. We decided to bring the two teams together with a common architecture and Scaled Agile (SaFE) approach to user design and software development.”

IoT 92

IoT Manufacturing Software Strategy 92

CIO Business Intelligence

MAY 2, 2022

Can you deliver meaningful results on a data project within one or two quarters? That’s a requirement for nearly any initiative undertaken by Petco Chief Data and Analytics Officer Rakesh Srinivasan, who invests the talent and resources to achieve results quickly.

Advertising 98

Advertising Data Governance Insurance Strategy 98

Cloudera

MARCH 13, 2019

The Data Heroes initiative is one of the ways that we recognize customers who achieve outstanding results with Cloudera technologies. The Data Visionary, Data Scientist, Data Architect, and HCC Community Champion awards are given out to organizations transforming their businesses through Big Data.

Data Architecture 68

Data Architecture Deep Learning Machine Learning Big Data 68

AWS Big Data

APRIL 26, 2023

Huron’s consultants leverage the products to provide insights as part of consulting engagements. The insights from the product help Huron’s consultants accelerate their customer’s transformation. Enables a hub-and-spoke model for Data Access in multiple AWS accounts in a data mesh fashion.

Metadata 52

Metadata Dashboards Visualization Consulting 52

AWS Big Data

JUNE 6, 2023

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. An AWS Glue crawler crawls the results.

Data Quality 70

Data Quality Metrics Visualization Dashboards 70

Cloudera

DECEMBER 7, 2020

As the pandemic’s stress test of e-commerce, in-store insights, supply chain visibility, and fulfillment capabilities have revealed shortcomings, and long-lasting consumer experiences— it has also allowed many companies to pivot to very successful strategies built on enterprise data and the digitization efforts that accompany it.

Cost-Benefit 61

Cost-Benefit Interactive Unstructured Data Big Data 61

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Cloudera

JANUARY 13, 2021

At Cloudera, an example of this leap is our first virtual Data Impact Awards , which was held in November last year. . One of our stand out moments of the awards was the introduction of the “Data Impact Achievement Award”. As an organisation, UOB has proven its fundamental understanding that the future is data-driven.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Alation

MARCH 31, 2023

I’m talking about not just Walt Disney World, but also this year’s Gartner Data & Analytics Summit , which took place last month in Orlando at the landmark resort. Alation was proud to have been among the thought leaders at the annual gathering of data experts from around the world. Mesh or fabric? And when the answer is “Yes!”)

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Lineage and chain of custody, advanced data discovery and business glossary.

Testing 130

Testing Metadata Risk Data Science 130

Cloudera

FEBRUARY 7, 2019

A key pillar in the transformation journey is focused on robust data operations that can help ATB deliver timely, relevant and delightful service. The company sought a data management platform that would allow its enterprise to handle greater data variety, velocity and volume in a cost-effective manner.

Big Data 63

Big Data Data Analytics Analytics Data Architecture 63

Ontotext

APRIL 15, 2020

Making Sense of Messy Data. One of the big challenges for the scientific community in the current situation is the vast volume of data that is constantly produced from various sources in several domains. GraphDB’s Visual Graph can be used to explore the data as demonstrated below.

Publishing 105

Publishing Metadata Data mining Technology 105

Peter James Thomas

AUGUST 18, 2018

No this article has not escaped from my Maths & Science section , it is actually about data matters. That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Even back then, these were used for activities such as Analytics , Dashboards , Statistical Modelling , Data Mining and Advanced Visualisation.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

Cloudera

JANUARY 29, 2021

In other words, only one in ten of a data scientist’s workdays actually end up producing something useful for the company. Many factories utilize both modern and legacy assets and devices from multiple vendors, with various protocols and data formats. Mass Data Fragmentation / Difficulty Ingesting all Data .

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

SEPTEMBER 21, 2023

AI is now a board-level priority Last year, AI consisted of point solutions and niche applications that used ML to predict behaviors, find patterns, and spot anomalies in carefully curated data sets. Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning. It’s incredible,” he says.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

Cloudera

AUGUST 21, 2020

Live data-streaming offers businesses exciting new opportunities to transform the way they operate, leveraging real-time insights to drive better decision making and enhance operational efficiency. To start off, what are the advantages of a forward-looking data-in-motion strategy?

Enterprise 59

Enterprise Data Lake Strategy Metadata 59