O'Reilly on Data

JUNE 6, 2019

The O’Reilly Data Show Podcast: Dhruba Borthakur and Shruti Bhat on enabling interactive analytics and data applications against live data. Continue reading Bringing scalable real-time analytics to the enterprise.

Enterprise 187

Enterprise Analytics Data Architecture Interactive 187

Cloudera

SEPTEMBER 26, 2023

Organizations increasingly rely on streaming data sources not only to bring data into the enterprise but also to perform streaming analytics that accelerate the process of being able to get value from the data early in its lifecycle.

Technology 90

Technology IT Data-driven Data Architecture 90

Data Virtualization

AUGUST 26, 2020

Recently, we have seen the rise of new technologies like big data, the Internet of things (IoT), and data lakes. But we have not seen many developments in the way that data gets delivered. Modernizing the data infrastructure is the.

Data Architecture 59

Data Architecture Internet of Things Data Lake IoT 59

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 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Corinium

MARCH 8, 2021

Organizations aiming to become data-driven need to overcome several challenges, like that of dealing with distributed data or hybrid operating environments. What are the key trends in companies striving to become data-driven. Get the report today!

Data-driven 195

Data-driven Enterprise Data Architecture Data Governance 195

Analytics Vidhya

JULY 20, 2022

We don’t have a native value settlement layer, nor do we have control over our data. Our data architectures are still founded on the idea of stand-alone computers, where data is centrally stored and maintained on a […]. appeared first on Analytics Vidhya. The post How is Web 3.0

Finance 282

Finance Data Architecture Data Science Publishing 282

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

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 84

Technology Data-driven Machine Learning Sales 84

IBM Big Data Hub

JUNE 8, 2023

However, many of these organizations lack a clear pathway to realizing their goals and 41% of surveyed executives cite inadequate data as their biggest obstacle to ESG progress. Technology, when harnessed effectively, can provide innovative solutions such as those that help to protect and restore reefs.

Technology 82

Technology Measurement Cost-Benefit Data-driven 82

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect.

Analytics 91

Analytics IoT Cost-Benefit Big Data 91

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Data Architecture 99

Data Architecture Data Governance Big Data Marketing 99

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. Data engineer job description.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

OCTOBER 4, 2022

It’s yet another key piece of evidence showing that there is a tangible return on a data architecture that is cloud-based and modernized – or, as this new research puts it, “coherent.”. Data architecture coherence. That represents a 24-point bump over those organizations where real time data wasn’t a priority.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analysis techniques enhance the ability to take raw data and uncover patterns to extract valuable insights from it. Data analytics is not new.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

CIO Business Intelligence

APRIL 12, 2023

After walking his executive team through the data hops, flows, integrations, and processing across different ingestion software, databases, and analytical platforms, they were shocked by the complexity of their current data architecture and technology stack. A unified data ecosystem enables this in real time.

Machine Learning 145

Machine Learning Cost-Benefit Data-driven Strategy 145

Cloudera

JUNE 7, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform.

IT 108

IT Data Architecture Unstructured Data Big Data 108

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. With multiple speaking tracks focusing on technology, networks, and data & AI, industry leaders repeatedly highlighted the hybrid nature of their infrastructure. .

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

CIO Business Intelligence

JUNE 29, 2022

Enterprises across industries have been obsessed with real-time analytics for some time. The technology that powers this toolset that aims to make critical business decisions quickly is expected to amount to a $50.1 The foundation of an event-driven architecture. billion market by 2026. It’s no surprise.

Interactive 98

Interactive Data-driven Data Architecture Software 98

CIO Business Intelligence

JUNE 23, 2022

Also, Cloudera DataFlow is rated highly in the GigaOm Radar for Streaming Data Platforms. Leading industry analysts rated Cloudera better at analytic and operational data use cases than many well-known cloud vendors. Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform.

IT 97

IT Data Architecture Unstructured Data Big Data 97

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. A holistic ecosystem view.

IT 135

IT Experimentation IoT Data-driven 135

TDAN

OCTOBER 20, 2021

As technology is improving itself with continuous upgrades, it has led to the birth of using software without installing it on your device, such service is known as Software as a Service (SaaS). With the introduction of such services in the market, there is also a demand for business stats to appear in real-time. Through […].

Analytics 69

Analytics Software Marketing Technology 69

CIO Business Intelligence

JUNE 28, 2023

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As The initial stage involved establishing the data architecture, which provided the ability to handle the data more effectively and systematically. “We

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

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

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. Who has access to the data?

Manufacturing 98

Manufacturing Data Architecture Strategy Data Strategy 98

CIO Business Intelligence

JUNE 23, 2023

According to the MIT Technology Review Insights Survey, an enterprise data strategy supports vital business objectives including expanding sales, improving operational efficiency, and reducing time to market. The problem is today, just 13% of organizations excel at delivering on their data strategy.

Data Strategy 116

Data Strategy Strategy Visualization Consulting 116

CIO Business Intelligence

JULY 26, 2023

As for Keller Williams, Chief Technology and Digital Officer Chris Cox sees the cloud as an engine for innovation. “We We made a commitment to be truly cloud native and build an architecture that wasn’t burdened by any legacy infrastructure,” says Cox. minutes from the moment the property is listed.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

BizAcuity

APRIL 6, 2022

Crypto casinos need a solid operation strategy, an analytics platform and a fail-safe mechanism in place. Moreover, there should be a powerful data management and analytics pipeline for operational usage. 5 data challenges faced by crypto casinos. Major cryptocurrency values demand precision of upto 12 decimal points.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Cloudera

MARCH 28, 2024

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

Data Architecture 89

Data Architecture Strategy Data Lake Data-driven 89

DataKitchen

MAY 10, 2021

Your IDB practices won’t succeed unless your leaders commit to attracting and retaining data and analytics talent, developing data science and other data and analytical skills, establishing centers of excellence (COEs), and improving the overall data literacy of all employees.”

Data-driven 130

Data-driven Data Architecture Machine Learning Strategy 130

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cost-Benefit 84

Cost-Benefit Data Architecture Risk IoT 84

Data Virtualization

JANUARY 19, 2023

Reading Time: 2 minutes Today, many businesses are modernizing their on-premises data warehouses or cloud-based data lakes using Microsoft Azure Synapse Analytics. Unfortunately, with data spread.

Data Analytics 52

Data Analytics Data Lake Data Warehouse Analytics 52

Cloudera

DECEMBER 1, 2023

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively.

Data Governance 105

Data Governance Data-driven Strategy Data Architecture 105

IBM Big Data Hub

DECEMBER 16, 2022

Only from this foundation can data leaders foster a data-driven culture, where the entire organization is empowered to take advantage of automation and AI technologies to improve ROI. Building the foundation: data architecture. Collecting, organizing, managing, and storing data is a complex challenge.

Enterprise 52

Enterprise Data Architecture Data-driven ROI 52

CIO Business Intelligence

JUNE 27, 2022

Too often, technology companies pay consulting or analyst firms to create metrics based on the best characteristics of their offerings,” says Judith Hurwitz, CEO of Hurwitz Strategies, an emerging technology consulting firm. It’s important to understand the research and data behind the metrics,” Hurwitz says.

Metrics 133

Metrics KPI IT Consulting 133

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

CIO Business Intelligence

AUGUST 9, 2023

What does this have to do with technology? Traditional storage systems struggle to keep up with the massive influx of data, leading to bottlenecks in training and inference processes. In addition, managing the data created by generative AI models is becoming a crucial aspect of the AI lifecycle. Learn more here.

Unstructured Data 98

Unstructured Data Modeling Data Architecture Enterprise 98