Kentik

APRIL 25, 2016

Here at Kentik, we’ve applied many of the same concepts to Kentik Data Engine™ (KDE), a datastore optimized for querying IP flow records (NetFlow v5/9, sFlow, IPFIX) and related network data (GeoIP, BGP, SNMP). How big is big? Next, let’s look at capacity: how big is our “big data”?

Data Engineering 40

Data Engineering Engineering Data Sport 40

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Same as last year, the event offers six workshops (crash-course) themes, each dedicated to a unique domain area: Data-driven Strategy, Analytics & Visualisation, Machine Learning, IoT Analytics & Data Management, Data Management and Data Engineering.

Innovation 84

Innovation Data Technical Review Artificial Inteligence 84

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

JANUARY 20, 2021

In order to enable connected manufacturing and emerging IoT use cases, ECC needs a solution that can handle all types of diverse data structures and schemas from the edge, normalize the data, and then share it with any type of data consumer including Big Data applications. . More Data Collection Resources.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Cloudera

JULY 14, 2023

Introduction For more than a decade now, the Hive table format has been a ubiquitous presence in the big data ecosystem, managing petabytes of data with remarkable efficiency and scale. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Backup 70

Backup Data Engineering Engineering Data 70

Kentik

MAY 23, 2017

Given the advanced capabilities provided by cloud and big data technology, there’s no longer any justification for legacy monitoring appliances that summarize away all the details and force operators to swivel between siloed tools. ISPs can gain similar advantages by becoming far more data driven.

Network 40

Network Open Source Big Data Load Balancer 40

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas.

Trends 52

Trends Azure Conference Media 52

Kentik

JULY 24, 2017

And we retain network data unsummarized for 90 days (longer by arrangement). Enabled by a scale-out big data architecture that’s purpose-built for network operations, these capabilities are critical for effective visibility. And we retain network data unsummarized for 90 days (longer by arrangement).

Cloud 40

Cloud Big Data Data Engineering Internet 40

Kentik

JULY 19, 2017

Service providers of all stripes can benefit from big data-powered network insights in similar ways as KDDI, both in planning as well as operational realms. If you’d like to learn more, check out our products , read our Kentik Data Engine (KDE) white paper, and dig into why NFV needs advanced analytics.

Network 40

Network .Net Data Center Big Data 40

Kentik

JANUARY 3, 2018

And software-based network management tools silo flow data, imposing severe constraints on analytics methods that require network data correlation across many network locations. This leads us to a big data approach to capture and report on this unstructured IoT data. Kentik’s Scalable and Flexible IoT Analytics.

IoT 40

IoT Network Tools Big Data 40

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics. Migration of historical data from EDW Platform. Demo Video.

Data 82

Data Analytics Cloud Technical Review 82

Kentik

JUNE 26, 2017

Needless to say, the little straw hut of sparse, summarized data was no match for the huffing and puffing of real-world use cases. When the big bad wolf came to the door, the system collapsed. Traditional Big Data Wood House The second organization chose to build using a traditional, Hadoop-style big data system.

Big Data 40

Big Data Architecture Analytics Storage 40

Kentik

DECEMBER 18, 2017

Big Data Stats Reveal Industry Trends. That’s how much flow data is ingested by Kentik Data Engine (KDE), the distributed big data backend that powers Kentik Detect®. Are you ready to see what kinds of interesting data points are hiding in your network traffic?

IPv6 40

IPv6 Internet Big Data Network 40

Kentik

MAY 23, 2016

Big Data, Big Benefits. The key is to recognize that flow data plus BGP data makes Big Data. And the key to better understanding is to recognize that flow data plus BGP data makes Big Data. Only a big data solution can handle the required data at the required scale.

Big Data 40

Big Data Analytics Internet Network 40

Kentik

DECEMBER 15, 2016

IDC’s recognition of Kentik was two-fold, based not only on the fact that we’re SaaS/cloud-based (in fact, we also can deploy our big data solution on an on-premises cluster) but also on the deep capabilities of our Kentik Detect product. Sign up today for a free trial , or contact us for a demo. Why Kentik? Siloes Be Gone!

UI/UX 40

UI/UX Innovation Big Data Network 40

Altexsoft

OCTOBER 8, 2021

But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. What’s more, that data comes in different forms and its volumes keep growing rapidly every day — hence the name of Big Data. Oracle Data Integrator, IBM InfoSphere, Snaplogic, Xplenty, and. Source: Oracle.

Tools 52

Tools Data Software Review Open Source 52

Kentik

APRIL 11, 2016

Clustered computing for real-time Big Data analytics. It has since gone on to become a key technology for running many web-scale services and products, and has also landed in traditional enterprise and government IT organizations for solving big data problems in finance, demographics, intelligence, and more.

Big Data 40

Big Data Analytics Network Architecture 40

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Altexsoft

OCTOBER 29, 2020

But before you dive in, we recommend you reviewing our more beginner-friendly articles on data transformation: Complete Guide to Business Intelligence and Analytics: Strategy, Steps, Processes, and Tools. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role.

Testing 63

Testing Tools Software Review Technical Review 63

Kentik

MAY 31, 2017

It’s high time to move away from this legacy paradigm to a unified, scalable, real-time solution built on the power of big data. Kentik’s founders, who ran large network operations at Akamai, Netflix, YouTube, and Cloudflare, well understand the challenges faced by teams working with siloed legacy tools and fragmented data sets.

Network 40

Network Tools Big Data Engineering 40

Kentik

JULY 31, 2017

To use this powerful feature you must be running BGP between at least one device in your network and the Kentik Data Engine (KDE). You will also want to have 3-4 days worth of flow data stored in the Kentik Data Engine (KDE) for Peering Analytics to return useful information.

Analytics 40

Analytics Knowledge Base Internet Network 40

Kentik

JUNE 19, 2017

As traffic passes through the router on its way from the generator to the target, the router collects flow records and sends them to Kentik Detect, our big data network visibility solution. In the meantime you can learn more about how Kentik Detect helps you see and optimize your network traffic by visiting our website at kentik.com.

Testing 40

Testing Network Windows Big Data 40

Kentik

AUGUST 21, 2017

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. Once we have the data in our distributed big data database there are all kinds of powerful things we can do with it, including custom query-based Dashboards.

IPv6 40

IPv6 Infrastructure Metrics Knowledge Base 40

Kentik

AUGUST 14, 2017

Given that Kentik was founded primarily by network engineers, it’s easy to think of our raison d’etre in terms of addressing the day-to-day challenges of network operations. While that’s a key aspect of our mission, our unique big data platform for capturing, unifying, and analyzing network data actually supports a broader scope.

Network 40

Network Engineering LAN .Net 40

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Data Engineering 52

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Some are genuinely exciting; others are rebrandings of older ideas.

Trends 116

Trends Technical Review Technology Artificial Inteligence 116

Cloudera

DECEMBER 3, 2024

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments.

Data 84

Data Disaster Recovery Airlines Policies 84