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). In this series, we’ll take a tour of KDE and also quantify some of its performance and scale characteristics.

Data Engineering 40

Data Engineering Engineering Data Sport 40

d2iq

MARCH 31, 2022

While Kubernetes and Kubeflow would seem to be an ideal way to address some of the obstacles, the steep learning curve can introduce complexities for data scientists and data engineers who might not have the bandwidth or design to learn how to manage it.

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CIO

JUNE 28, 2023

To address the second challenge, Belcorp hired new talent to bridge the knowledge gap among different teams and established a technology hub to recruit first-rate data scientists and data engineers to aid with the project’s design and implementation.

Technical Review 215

Technical Review Analytics Innovation Artificial Intelligence 215

Cloudera

OCTOBER 13, 2020

Enrich – Data Engineering (Apache Spark and Apache Hive). Report – Data Engineering (Hive3), Data Mart (Apache Impala) and Real-Time Data Mart (Apache Impala with Apache Kudu) . Serve – Operational Database (Apache HBASE), Data Exploration (Apache Solr) . New Services.

Cloud 97

Cloud Machine Learning Artificial Inteligence Azure 97

Xebia

JANUARY 9, 2024

It is also a good starting point for debugging data quality issues, because it offers an easy way to copy the actual compiled SQL that was executed for a given test. packages: - package: elementary-data/elementary version: 0.13.1 In case you do not have a packages.yml file yet, you can create one in the root of your dbt project.

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Kentik

APRIL 12, 2023

DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable. These roles include data specialists, data engineers, and principal data engineers. They work closely with data engineers to ensure the pipeline is robust and scalable.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. Data Catalog profilers have been run on existing databases in the Data Lake.

Data 97

Data Virtualization Banking Data Engineering 97

Cloudera

APRIL 9, 2021

You may recall from the previous blogs in this series that ECC is leveraging the Cloudera Data Platform (CDP) to cover all the stages of its data life cycle. Data Collection – streaming data. Data Enrichment – data engineering. Reporting – data warehousing & dashboarding.

Machine Learning 98

Machine Learning Artificial Inteligence Data Data Engineering 98

Kentik

FEBRUARY 27, 2023

The need for speed The Kentik Data Explorer is Kentik’s interface between you as an engineer, whether that’s network, systems, cloud, security, or SRE, and the database of information you’ve collected with the Kentik platform. But the real key here is that the Kentik Data Explorer was purpose-built for querying a massive database.

Network 98

Network Data WAN Metrics 98

Cloudera

JULY 14, 2023

While these instructions are carried out for Cloudera Data Platform (CDP), Cloudera Data Engineering, and Cloudera Data Warehouse, one can extrapolate them easily to other services and other use cases as well. Watch our webinar Supercharge Your Analytics with Open Data Lakehouse Powered by Apache Iceberg.

Backup 70

Backup Data Engineering Engineering Data 70

Confluent

FEBRUARY 6, 2019

This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. Impedance mismatch between data scientists, data engineers and production engineers. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

DataRobot

JUNE 1, 2022

Join the platform breakout session track to see an end-to-end product demo, dive deep into Continuous AI, learn how to create scalable AI projects, and understand how to manage governance and risk. In a robust virtual expo, visit with experts in data engineering, machine learning, ML Ops, and AI-powered apps.

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Virtualization Artificial Inteligence Machine Learning Artificial Intelligence 119

Cloudera

MARCH 17, 2023

CDP’s components that support a data lakehouse architecture include: Apache Iceberg table format that is integrated into CDP to provide structure to the massive amounts of structured, unstructured data in your data lake. The post Educating ChatGPT on Data Lakehouse appeared first on Cloudera Blog.

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ChatGPT Education Data Comparison 64

Erik Bernhardsson

DECEMBER 6, 2022

We've been focusing a lot on machine learning recently, in particular model inference — Stable Diffusion is obviously the coolest thing right now, but we also support a wide range of other things: Using OpenAI's Whisper model for transcription , Dreambooth , object detection (with a webcam demo!). I will be posting a lot more about it!

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CTO Coach Fractional CTO Software Engineering Serverless 242

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 83

Innovation Data Technical Review Artificial Inteligence 83

Hu's Place - HitachiVantara

MAY 10, 2019

A Big Data Analytics pipeline– from ingestion of data to embedding analytics consists of three steps Data Engineering : The first step is flexible data on-boarding that accelerates time to value. This will require another product for data governance. This is colloquially called data wrangling.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Honeycomb

MARCH 6, 2024

One example of this in action was when an engineer with two months at Phorest delved into a complex section of the code—a service managing appointment availability—using Honeycomb. He quickly pinpointed bottlenecks and identified multiple areas for improvement that he demoed for everyone.

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Culture Software Review Systems Review Technical Review 57

Xebia

JULY 28, 2023

I’ll keep the sizes as small as possible, since it is only for demo purposes. It provides a collaborative environment for teams to work together, accelerating the development and deployment of data-driven solutions. First, click on SQL Warehouses on the left bar, then Create SQL warehouse button. This will open a new window.

Cloud 130

Cloud Azure How To Windows 130

Palo Alto Networks

AUGUST 23, 2021

Cortex XDR’s Third-Party Data Engine Now Delivers the Ability to Ingest, Normalize, Correlate, Query and Analyze Data from Virtually Any Source. An overview and demo of Cortex XDR 3.0 — See the new capabilities first-hand and discover how our third-generation XDR innovations equip defenders to level the playing field.

Cloud 93

Cloud Machine Learning Artificial Inteligence Analytics 93

Cloudera

FEBRUARY 17, 2021

An information-packed set of sessions that explained everything from the fundamentals of Flink to the most advanced concepts and some hands-on demos. We also wrote a white paper comparing the different stream processing engines in the market today and this was much appreciated by our customers.

Part-Time VPE 60

Part-Time VPE Analytics Leadership eBook 60

Honeycomb

FEBRUARY 20, 2024

There’s a gulf of difference between a cute demo you can post on Twitter and a reliable product customers enjoy using long-term. The only way to achieve the latter is to have good data to feed into your model.

Data 62

Data Artificial Inteligence Weak Development Team Examples 62

TechCrunch

MARCH 7, 2023

.” For example, a factory that wishes to embed smart fault inspection on a production assembly line will be able to demo the AI project pretty fast by using a single camera on a machine for a few minutes. This will require many months or even years to bring the value the AI provides in the demo across the finish line.

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Weak Development Team Case Study ChatGPT Data Engineering 246

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

TIBCO - Connected Intelligence

OCTOBER 11, 2021

The page features joint solution briefs, solution demos, and sales enablement templates. According to Ramakrishna Peddiraj, Vice President and Head of Data Engineering and Analytics at iSteer, “This partnership is a great opportunity to create value-based solutions for customers.

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IoT Wireless Healthcare Technical Review 49

Apiumhub

AUGUST 12, 2021

Evgenii Vinogradov – Director, Analytical Solutions Department @YooMoneyon Evgenii is the Head of Data Engineering and Data Science team at YooMoney, the leading payment service provider on the CIS Market. Also, he serves as the Program Director for Data science/Data Engineering Educational Program at Skillbox.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

Cloudera

JANUARY 20, 2021

Value in “getting it right” include using data from any enterprise source thus breaking down data silos, using all data whether it be streaming or batch-oriented, and the ability to send that data to the right place producing the desired down stream insight. . More Data Collection Resources.

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Data Artificial Inteligence Analytics Machine Learning 110

Kentik

JULY 24, 2017

Peering with Kentik is safer than the peering you’re already doing for Internet traffic delivery, and it allows our data engine to combine your NetFlow records with time-correlated BGP data, creating a unified datastore that enhances your ability to extract operational, security, and business insights.

Cloud 40

Cloud Big Data Data Engineering Internet 40

O'Reilly Media - Ideas

MARCH 31, 2020

An AI pilot project, even one that sounds simple, probably won’t be something you can demo quickly. A demo, or even a first release, can be based on heuristics or simple models (linear regression, or even averages). Having something you can demo takes some of the pressure off your machine learning team.

Product Management 137

Product Management Artificial Inteligence Machine Learning Software Review 137

Kentik

MAY 23, 2017

With the advent of open source big data engines, the power of big data network analytics has seemed tantalizingly close. So they innovated a purpose-built big data engine for network flows and related data. Request a demo at info@kentik.com or via our web chat, or start a free trial today.

Network 40

Network Open Source Big Data Load Balancer 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. To learn more about CDP & the Smart Data Transition Toolkit: .

Data 82

Data Analytics Cloud Technical Review 82

Kentik

APRIL 3, 2018

The kprobe agent produces flow data enriched with performance metrics and layer 7 details which are stored in the Kentik Data Engine. If you are not already a Kentik customer and would like to get started analyzing your network traffic today, [request a demo](mailto: info@kentik.com) or sign up for a free trial.

Network 40

Network WAN LAN Policies 40

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. You can also watch the webinar to learn more about Apache Iceberg and see the demo to learn the latest capabilities.

Strategy 59

Strategy Travel Groups Data 59

InnovationM

FEBRUARY 1, 2024

Suppose user provide some email like “test@test”, user should get the error message for the email validation Check for the data-type validation: Fields Validation Integer Correct format of field should be: “number” : 1234 Incorrect format of field should be: “number” : “abcd” String Correct format of field should be: “name” : “test” Incorrect format (..)

Testing 52

Testing Software Review Authentication Resources 52

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

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

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 9, 2017

ingested into the Kentik Data Engine with two new fields that represent the Device (router) and Site (PoP) where that flow will exit the network to an adjacent autonomous system (AS). Learn More With a Demo or Free Trial. In a nutshell, Ultimate Exit uses BGP to enhance every flow record (NetFlow, sFlow, IPFIX, etc.)

Internet 40

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