CTOvision

SEPTEMBER 21, 2015

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Relatively self-contained big data projects may be tied to an ongoing process or program that is already developing or delivering a product or service. A program is something ongoing and relatively permanent.

Big Data 118

Big Data Project Management Data Technical Review 118

CTOvision

FEBRUARY 15, 2017

It would be difficult to identify one singular component of business that has had the impact of Big Data over the last several years, and there is a good reason for this. Big Data represents a massive opportunity for businesses around the world, primarily based on its capacity to transform and disrupt the status quo.

Big Data 71

Big Data Data Metrics Analytics 71

CTOvision

APRIL 20, 2017

Big data has almost always been primarily used to target clients using tailored products, targeted advertising. This has skewed the use of big data that often everyone simply assumes big data is for targeting the customer base. Big data can help you to spot a crisis in your processes or markets or clients.

Big Data 75

Big Data eLearning Data Culture 75

TechCrunch

AUGUST 2, 2022

It’ll certainly need a substantial war chest to compete in the growing market for data analytics products. O9 Solutions, which applies analytics to the supply chain and inventory planning and management, recently raised $295 million in a funding round that values the company at $2.7 Unsupervised, Pecan.ai

Analytics 207

Analytics Big Data Automotive Enterprise 207

Trigent

NOVEMBER 3, 2022

The ultimate goal of any organization dealing with a pool of connected devices and sensors is to leverage this data by learning the trends and patterns. There lies the importance of data analytics. Data analytics is not new to us anymore. To understand how we must first look into the many areas of data analytics.

Analytics 52

Analytics Data IoT Trends 52

Datavail

SEPTEMBER 2, 2021

Moving data analytics to the cloud would be much simpler if it were a “lift and shift” process. A lift and shift to the cloud involves moving applications and associated data to the cloud without redesigning the applications. But, there are many players in the data analytics market. Making Data More Usable.

Analytics 89

Analytics Cloud Data Artificial Inteligence 89

Apiumhub

AUGUST 20, 2018

The key to efficient, integrous data analysis is a team-based intelligent analytical approach. This interactive approach leads to incremental evolution, and though we are talking about analysing big data, can be applied in any team or to any project. This means sorting through the data with the help of a data analyst.

Big Data 47

Big Data Tools Data Artificial Inteligence 47

TechCrunch

JANUARY 6, 2022

Nine months after its public launch, Verb Data , a customer-facing analytics company, took in $3 million in funding to continue developing technology so that SaaS companies can build better in-product dashboards for their customers. How to ensure data quality in the era of big data.

Company 190

Company Data Analytics Report 190

TechCrunch

AUGUST 16, 2022

Investments in them are on the rise, but companies are still struggling to become “data-driven” — at least, according to some survey results. NewVantage Partners’ 2022 poll of chief data and analytics officers found that less than half (47.4%) believed that they’re competing on data and analytics.

Weak Development Team 244

Weak Development Team Cloud Analytics Business Intelligence 244

Apiumhub

MARCH 18, 2021

More data is available to businesses than ever, which is why business analytics is a growing field. But how and why professionals use data to reach decisions varies depending on the industry. In this article we will discuss business analytics tools and use cases. “The What is Business Analytics?

Business Analytics 52

Business Analytics Analytics Tools Trends 52

DevOps.com

MARCH 25, 2021

Massive amounts of data are flowing through these multifaceted environments, and it falls on IT to make […]. The post Visualization Shines a Light on IT Metrics appeared first on DevOps.com. Now, the Internet of Things (IoT) and the edge are part of the mix.

Metrics 67

Metrics IoT Data Center Internet 67

CIO

SEPTEMBER 22, 2022

But we’re moving back to a world that’s digitally analog, with things like big data visualization. On metrics: It’s been said a lot that data is the new oil. And there is some sense in which that is right, but it is not just data. It’s data analytics and the use of context and human judgment to decide.

Agile 276

Agile Real Estate Big Data Analytics 276

CTOvision

MAY 23, 2016

McKinsey and Company has defined big data as the $100 billion business. Big data is a term used to describe large volumes of data. The data can be structured or unstructured. This data is not basically what is important, what the organization use is what that matters.

Big Data 61

Big Data Company Data Media 61

DevOps.com

AUGUST 25, 2022

In today’s data age, getting data analytics right is more essential than ever. A robust data analytics implementation enables businesses to hit key performance metrics, build data and AI-driven customer experiences (think ‘personalize my feed’) and capture operational issues before they spiral out of control.

Analytics 132

Analytics Metrics Data Performance 132

Kentik

SEPTEMBER 6, 2016

This post focuses on the first of those videos, in which Kentik’s Jim Frey, VP Strategic Alliances, talks about the complexity of today’s networks and how Big Data NetFlow analysis helps operators achieve timely insight into their traffic. Why Big Data NetFlow Analysis? Big Data Architectural Considerations.

Big Data 40

Big Data Analysis Data Architecture 40

CloudGeometry

MARCH 22, 2022

SaaS business metrics are not hard to find ; we won’t analyze them in-depth here. As it turns out, SaaS operational platform metrics are also abundant. However, it is still too often the case that business metrics and operations metrics live in parallel universes. Big data has been a game-changer.

Metrics 130

Metrics Architecture AWS Strategy 130

TechCrunch

SEPTEMBER 6, 2022

As for Mukherjee, he left Oracle to launch Udichi, a compute platform for “big data” analysis. ” ZineOne isn’t the only platform applying data analytics to drive e-commerce personalization.

Company 227

Company Retail Systems Review Media 227

Kentik

APRIL 23, 2018

Predictive analytics uses historical data to predict future events. In the context of IT practices, the analytics are gaining in interest, in part, due to advances in supporting technologies, such as big data, machine learning, and artificial intelligence. Big Data and Cloud-Scale Resources to the Rescue.

Analytics 40

Analytics Artificial Inteligence Network Performance 40

Honeycomb

APRIL 17, 2024

Real user monitoring is mostly a data analytics problem The telemetry data that you use for RUM is, by and large, the exact same kind of telemetry data you get from backend systems. Metrics, and other structured data like logs and spans, are the majority of what you rely on. Here’s how.

Systems Review 102

Systems Review Mobile Software Review Performance 102

TechCrunch

NOVEMBER 14, 2021

That is, comparatively speaking, when you consider the data realities we’re facing as we look to 2022. In that Economist report, I spoke about society entering an “Industrial Revolution of Data,” which kicked off with the excitement around Big Data and continues into our current era of data-driven AI.

Industry 335

Industry Artificial Inteligence Data Artificial Intelligence 335

Kentik

AUGUST 10, 2018

However, to do that, the providers must move beyond quality of service (QoS) and service-level agreement (SLA) metrics for traditional physical, protocol-driven networks, such as MPLS or Carrier Ethernet. Network-based analytics is critical to satisfying service assurance needs. Defining and monitoring service quality measurements.

Analytics 49

Analytics Network Quality Assurance Big Data 49

CTOvision

OCTOBER 20, 2016

Is it really true that "Nearly two-thirds of big data projects will fail to get beyond the pilot and experimentation phase in the next two years, and will end up being abandoned," as suggested by Steve Ranger last year in Your big data projects will probably fail, and here's why? . Marketing function as an example.

Data 110

Data Big Data Project Management Analytics 110

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023.

Data 87

Data Data Engineering Big Data Architecture 87

Apiumhub

MARCH 11, 2021

When used correctly, KPIs and OKRs are valuable tools for data-driven development. The right metrics create visibility into how the business is successful and each person can see how their individual work contributed. But there’s much to uncover when it comes to data-driven development. Engineering metrics.

Development 64

Development Data KPI Metrics 64

CIO

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Learn how to safeguard data and comply with changing laws, regulations, and operational requirements in Measuring Enterprise Information Governance Maturity.

Innovation 261

Innovation Blockchain Artificial Intelligence Artificial Inteligence 261

Netflix Tech

JANUARY 13, 2022

The data platform is built on top of several distributed systems, and due to the inherent nature of these systems, it is inevitable that these workloads run into failures periodically. This blog will explore these two systems and how they perform auto-diagnosis and remediation across our Big Data Platform and Real-time infrastructure.

Data 95

Data Systems Review Big Data Software Review 95

MagmaLabs

APRIL 25, 2023

Big Data The term “big data” is used to describe large and complex data sets. Be it healthcare data or social media metrics, modern technology means large structured or unstructured data sets can be delivered in near real-time. Crucially, big data cannot be analyzed using traditional methods.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

MagmaLabs

APRIL 25, 2023

Big Data The term “big data” is used to describe large and complex data sets. Be it healthcare data or social media metrics, modern technology means large structured or unstructured data sets can be delivered in near real-time. Crucially, big data cannot be analyzed using traditional methods.

Trends 52

Trends eCommerce Artificial Inteligence Software 52

O'Reilly Media - Ideas

MAY 1, 2019

Watch highlights from expert talks covering machine learning, predictive analytics, data regulation, and more. People from across the data world are coming together in London for the Strata Data Conference. James Burke asks if we can use data and predictive analytics to take the guesswork out of prediction.

Conference 80

Conference Data Machine Learning Artificial Inteligence 80

Cloudera

JANUARY 31, 2024

Not all REST API endpoints and SMM UI features are supported The /v2/topic-metrics/{target}/{downstreamTopic}/{metric} endpoint of the SRM Service v2 API does not work properly with prefixless replication. Use the /v2/topic-metrics/{source}/{target}/{upstreamTopic}/{metric} endpoint instead.

Policies 68

Policies Metrics Load Balancer Software Review 68

CTOvision

MARCH 12, 2015

Their capability provides metrics, streaming analytics and analytics around interactions and services. They have proven to be able to process 10s of billions of metrics daily. From their website: Metrics and Events at Scale. Send all your metrics and events, at frequencies up to every second and at any scale.

Applications 86

Applications Metrics Weak Development Team Analytics 86

CTOvision

AUGUST 13, 2015

Announcing a unique solution that works for HPC, Big Data Analytics, or a hybrid environment. The enhancements reduce the ongoing administrative burden through proactive diagnostics based on Lustre-specific metrics and tests. The configuration and setup are easy.

Enterprise 109

Enterprise Systems Administration Big Data Storage 109

Cloudera

JULY 18, 2023

In the realm of big data analytics, Hive has been a trusted companion for summarizing, querying, and analyzing huge and disparate datasets. Are there any baselines for various metrics about my query? How do I use system/service/platform metrics to debug Hive queries and improve their performance? Am I overeating?

Systems Review 72

Systems Review Metrics Trends Performance 72

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. This exciting initiative is built on our shared vision to make data-driven decision-making a reality for every business. Compared to previous CPU-based architectures, CDP 7.1

Enterprise 87

Enterprise Cloud Data Machine Learning 87

CTOvision

FEBRUARY 25, 2014

The point to me is that Pentaho’s comprehensive approach to data integration and business analytics has been designed for continual improvement. Process Data as it Arrives. With Pentaho processing data begins when it arrives from the source and delivers valuable data sets immediately. Next Steps.

Big Data 102

Big Data Open Source Business Analytics Analytics 102

CTOvision

MARCH 13, 2015

Keep an eye on your data streams with key metrics and spatio-temporal coverage charts. Analytical Tool Companies Big Data Companies Visualization Companies' Grant users granular rights and permissions depending on their role in your organization. For more info see: https://planetos.com/.

Data 95

Data Firewall Big Data AWS 95

Kentik

JULY 10, 2018

Network and computing infrastructure is increasingly software-driven, allowing for extensive, full stack software instrumentation that provides monitoring metrics for generating KPIs. Performance metrics and other types of monitoring data can be collected in real time using streaming telemetry protocols such as gRPC.

Tools 45

Tools Cloud Big Data WAN 45