Kentik

DECEMBER 5, 2016

In a recent blog post by Kentik Solutions Engineer Eric Graham we explained how we “dog food” our own NPM solution to troubleshoot network performance issues within our own cloud-based application. In that post, Eric shows how he found issues on a group of internal hosts that were impacting a critical microservice. How does it work?

Network 40

Network Performance Metrics Software Review 40

O'Reilly Media - Ideas

MAY 1, 2019

Inside Unsupervised Learning: Group Segmentation using Clustering , June 13. Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. 60 Minutes to Better Product Metrics , July 10. Data science and data tools. First Steps in Data Analysis , May 20.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Altexsoft

SEPTEMBER 9, 2022

In data science , metadata is one of the central aspects: It describes data (including unstructured data streams) fed into a big data analytical platform, capturing, for example, formats, file sizes, source of information, permission details, etc. Types of metadata. There are multiple ways to categorize metadata.

Tools 59

Tools Technical Review Software Review Systems Review 59

Kentik

JULY 19, 2017

Because “package tracking” in a large network is a big data problem, and traditional network management tools weren’t built for that volume of data. Drillable visibility: unlimited flexibility in grouping, filtering, and pivoting the data. Act 3: Big Data SaaS to the Rescue.

Big Data 40

Big Data Network Data Systems Review 40

CIO

AUGUST 5, 2022

Key data visualization benefits include: Unlocking the value big data by enabling people to absorb vast amounts of data at a glance. Identifying errors and inaccuracies in data quickly. Hierarchical: These visualizations show how groups relate to one another. It also has a mobile app.

Data 357

Data Analytics Travel Business Intelligence 357

Altexsoft

AUGUST 19, 2022

bubble charts, grouped bars), data over time (e.g., You can personalize dashboards and interfaces, create custom reports and visualizations, and even set up alerts on specific KPIs to notify your team of important metrics updates. There are several main categories of visuals according to their purpose: comparison, (e.g.,

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Kentik

NOVEMBER 16, 2015

KDE handles over 10B flow records/day with a microservice architecture that's optimized using metrics. Here at Kentik, our Kentik Detect service is powered by a multi-tenant big data datastore called Kentik Data Engine. And that leads us to metrics. Health checks and series metrics. Simple, right?

Metrics 40

Metrics Microservices Linux Architecture 40

Altexsoft

NOVEMBER 9, 2021

Procurement metrics and KPIs. In procurement, there are several main groups of KPIs that are worth monitoring to get a better understanding of the effectiveness of your operations. For a fuller picture, you can also monitor communication time lags, price competitiveness, frequency of price changes and other performance-related metrics.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Netflix Tech

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing.

Windows 84

Windows Software Review Data Engineering 84

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. process data in real time and run streaming analytics. Kafka cluster and brokers.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Altexsoft

FEBRUARY 8, 2021

It includes a broad range of tightly interrelated activities that we can arrange into several major groups. Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Kentik

AUGUST 21, 2017

Dashboards for DNS Metrics Reveal Issues With Your Infrastructure. This information is turned into flow data and sent over an SSL encrypted channel to the Kentik Data Engine (KDE), from which it is queryable in Kentik Detect. Here’s a Data Explorer view of this metric.

IPv6 40

IPv6 Metrics Infrastructure Knowledge Base 40

Altexsoft

AUGUST 4, 2021

You’ll also find out about the key types of data marts, their structure schemas, implementation steps, and more. What is a data mart? A data mart is a smaller subsection of a data warehouse built specifically for a particular subject area, business function, or group of users. Time-limited data projects.

Data 64

Data Analytics Construction Cloud 64

Datavail

MARCH 10, 2022

In other words, 80 percent of companies’ Big Data projects will fail and/or not deliver results. There are many reasons for this failure, but poor (or a complete lack of) data governance strategies is most often to blame. What is Data Governance? There are many complex definitions for data governance.

Government 40

Government Strategy Weak Development Team Company 40

Altexsoft

OCTOBER 3, 2019

Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality. People analytics is the analysis of employee-related data using tools and metrics. Dashboard with key metrics on recruiting, workforce composition, diversity, wellbeing, business impact, and learning.

Analytics 16

Analytics Company Off-The-Shelf How To 16

Kentik

FEBRUARY 13, 2017

Another fun project utilized kFlow (Kentik’s internal flow-data protocol) to send measurements from an Intel Arduino board and GPIO-connected temperature sensor to the Kentik Data Engine (KDE), our distributed big data backend. Getting the Most out of Docker for Mac.

3D 40

3D Conference Engineering Policies 40

BPM

JANUARY 18, 2019

As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. Fine grained-process metrics will be used more strategically to lay the foundation for IPA prediction machines. First movers will be profoundly disruptive.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Cloudera

MAY 2, 2019

Last month, I moderated The Women in Big Data panel hosted by DataWorks Summit and sponsored by Women in Big Data. The conversation began by speakers telling their background stories and how they became involved in technology and big data. Violeta spoke about the importance of metrics and KPIs.

Big Data 92

Big Data Data Artificial Intelligence Artificial Inteligence 92

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

DECEMBER 15, 2021

The rest is done by data engineers, data scientists , machine learning engineers , and other high-trained (and high-paid) specialists. The world’s second largest HR provider, the Adecco Group relies on machine learning to reduce time-to-fill for jobs. Feature engineering and selection.

Machine Learning 59

Machine Learning Artificial Inteligence How To Azure 59

O'Reilly Media - Ideas

JANUARY 25, 2022

Content usage, whether by title or our taxonomy, is based on an internal “units viewed” metric that combines all our content forms: online training courses, books, videos, Superstream online conferences, and other new products. It includes content from all of the publishing partners in the platform, not just O’Reilly. That’s no longer true.

Trends 110

Trends Technical Review Technology Artificial Inteligence 110

O'Reilly Media - Ideas

JANUARY 25, 2021

We suspect that the latter group is somewhat more conservative than the former. In practice, this means that we may have less meaningful data on the latest JavaScript frameworks or the newest programming languages. Usage and query data for each group are normalized to the highest value in each group.

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145