Imply
Imply
  • Видео 347
  • Просмотров 278 367
How Finix is Leaning Into Real-Time data with Apache Druid and Imply Polaris with Ross Morrow
On this episode, we are joined by Ross Morrow, a Software Engineer at Finix, the payment processor working to create the most accessible financial services ecosystem in history. Finix’s B2B payments platform is designed for flexibility and scalability, streamlining financial transactions for businesses and delivering a truly customer-centric experience. Faced with the need for a powerful database for real-time insights, Finix turned to Apache Druid. Listen to learn how they’re able to access real-time data with sub-second query times, how they transformed their data operations, and how Imply Polaris is helping them get all the benefits of Druid without the burden of maintenance or overhea...
Просмотров: 39

Видео

Securing the “Crown Jewels”: A Journey through Druid Database Security with Carrell Jackson
Просмотров 19Месяц назад
On this episode, we’re going all in on cybersecurity! Helping us with what critical aspects of security you need to focus on when building analytics applications is Carrell Jackson, CISO at Imply. We’ll discuss the importance of protecting sensitive data by implementing role-based access control and encryption and hear about best practices for securing a Druid cluster. Listen to learn more abou...
AWS IoT Core + Imply Polaris
Просмотров 432 месяца назад
Check out Rohan's vid below, and read about some#IoT use cases and customer stories featuring Rivian, Innowatts, PepsiCo, Thing-it, and more here: bit.ly/3JlBhlN
AWS IoT Core + Imply
Просмотров 1372 месяца назад
Rohan Joshi's quick demo walks through how AWS IoT Core works with Imply. Learn about why Imply is trusted by developers at leading organizations as their real-time database for IoT monitoring and analytics here: bit.ly/3U1ss6Q
Inside Apache Druid 29.0: Getting up to Speed on Druid’s Performance, Ecosystem, and SQL Complian...
Просмотров 533 месяца назад
On this episode, we explore Apache Druid 29.0, focusing on three specific themes: performance, ecosystem, and SQL compliance. Discover new features such as EARLIEST / LATEST support for numerical columns, system fields ingestion, and enhanced array support like UNNEST and JSON_QUERY_ARRAY. In addition, get the full scoop on community-contributed extensions like Spectator Histogram and DDsketch ...
Druid in 100 Seconds: EXPORT
Просмотров 593 месяца назад
On the ecosystem side, Druid 29.0 has improved the multi-stage query (MSQ) engine, adding more cloud support and the ability to export data. Though experimental right now, it enables better integration with data platforms where we want to take advantage of Druid’s data processing in downstream systems. Check out this “Druid in 100” video and let us know what other formats you’d like to see (it’...
Druid in 100 seconds: PIVOT/UNPIVOT
Просмотров 793 месяца назад
Imply's Senior Developer Evangelist, Reena Leone chats with Imply's Senior Developer Advocate, Sergio Ferragut about PIVOT/UNPIVOT in Apache Druid 29.0. ... In less than 100 seconds. Read the notebook here: bit.ly/3IotyTz
A Year in Review: Apache Druid's 2023 Highlights with Peter Marshall
Просмотров 263 месяца назад
In this special episode of Tales at Scale - this is our final episode of our first season! - Peter Marshall, Director of Developer Relations at Imply joins the show to discuss the highlights of 2023 for Apache Druid. We dive into the significant feature releases and enhancements that have transformed Druid over the past year, including the SQL standardizaion, query from deep storage, experiment...
Real-time telemetry at IoT scale
Просмотров 1346 месяцев назад
Real-time telemetry at IoT scale
Revenue at scale billing for millions of events a second
Просмотров 1396 месяцев назад
Revenue at scale billing for millions of events a second
Splunk's Journey to Imply Data Compaction At Scale
Просмотров 666 месяцев назад
Splunk's Journey to Imply Data Compaction At Scale
Streaming Ingestion: A Look Under The Hood
Просмотров 616 месяцев назад
Streaming Ingestion: A Look Under The Hood
Strivr: Using inline datasources with Druid queries
Просмотров 306 месяцев назад
Strivr: Using inline datasources with Druid queries
Wave Money Transaction Analytics Journey
Просмотров 196 месяцев назад
Wave Money Transaction Analytics Journey
SpectatorHistogram Efficient Percentile Approximations
Просмотров 306 месяцев назад
SpectatorHistogram Efficient Percentile Approximations
Load, Load, Don't Drop, Drop & then Kill
Просмотров 616 месяцев назад
Load, Load, Don't Drop, Drop & then Kill
Moving ingestion from 3 hours to 5 minutes - Challenges and Mitigations
Просмотров 836 месяцев назад
Moving ingestion from 3 hours to 5 minutes - Challenges and Mitigations
Query from deep storage
Просмотров 726 месяцев назад
Query from deep storage
From Reaction to Action Atlassian’s Proactive Scaling Journey
Просмотров 206 месяцев назад
From Reaction to Action Atlassian’s Proactive Scaling Journey
Joins in Druid Yes, of course!
Просмотров 1246 месяцев назад
Joins in Druid Yes, of course!
Learn Druid with learn druid
Просмотров 466 месяцев назад
Learn Druid with learn druid
Druid on K8S at NAVER
Просмотров 706 месяцев назад
Druid on K8S at NAVER
Druid Operator Bridging Kubernetes and Apache Druid
Просмотров 1456 месяцев назад
Druid Operator Bridging Kubernetes and Apache Druid
Enhancing Druid's Analytics with Apache Arrow and Flight SQL 1
Просмотров 1106 месяцев назад
Enhancing Druid's Analytics with Apache Arrow and Flight SQL 1
Demystifying Druid Myths
Просмотров 1066 месяцев назад
Demystifying Druid Myths
Druid + Kubernetes Cheaper and More Responsive Auto Scaling Ingestion
Просмотров 916 месяцев назад
Druid Kubernetes Cheaper and More Responsive Auto Scaling Ingestion
A truly technical introduction to Apache Druid
Просмотров 7046 месяцев назад
A truly technical introduction to Apache Druid
Druid Summit 2023 Keynote: When I Decide To Use Druid Instead Of A Data Warehouse
Просмотров 856 месяцев назад
Druid Summit 2023 Keynote: When I Decide To Use Druid Instead Of A Data Warehouse
Druid Summit 2023 Keynote: Druid 28 and beyond
Просмотров 1096 месяцев назад
Druid Summit 2023 Keynote: Druid 28 and beyond
Druid Summit 2023 Keynote: Real-Time Analytics in the Real World
Просмотров 1756 месяцев назад
Druid Summit 2023 Keynote: Real-Time Analytics in the Real World

Комментарии

  • @iamworstgamer
    @iamworstgamer 2 дня назад

    dude you are a legend. not many people make tutorial like this

  • @HikarusVibrator
    @HikarusVibrator 6 дней назад

    Audio quality :(

  • @rishiraj2548
    @rishiraj2548 10 дней назад

    Hi Peter, it was a grand meetup yesterday... about Apache Druid, FlightRadar24 and more. Gratitude for the engaging talk. It was an awesome tech learning session!! 🙂👍

  • @user-yc9kd5lo9c
    @user-yc9kd5lo9c Месяц назад

    AMAZING - AN EXPLAINATION

  • @lou3856
    @lou3856 2 месяца назад

    'Promosm' 😴

  • @periyasamynanjappan4277
    @periyasamynanjappan4277 2 месяца назад

    Great tutorials. It shows the real power of Druid.

  • @SB-sl7mp
    @SB-sl7mp 2 месяца назад

    Debbugging is so tough for Druid. I wish Imply team puts a video for troubleshooting Druid !

  • @dariosbaffi7381
    @dariosbaffi7381 2 месяца назад

    Crystal clear. Only a person with that extreme reverse writing technique can provide that good explanation. Thanks!

  • @KyleHoondert
    @KyleHoondert 3 месяца назад

    Thanks for sharing this, I think a quick screen share with example(s) would be a great add.

  • @mathewsopemba3711
    @mathewsopemba3711 5 месяцев назад

    well explained

  • @anantababa
    @anantababa 6 месяцев назад

    Is druid ingest avro format data from kafka?

  • @anantababa
    @anantababa 6 месяцев назад

    How we can ingest avro data from kafka?

  • @holgerbirne1845
    @holgerbirne1845 6 месяцев назад

    Great presentation! Thank you :)

  • @user-jt6ku8xi2w
    @user-jt6ku8xi2w 6 месяцев назад

    thank you for the great presentation. it was a full of 22 minutes.

  • @briskmad
    @briskmad 6 месяцев назад

    Here's a summary, as created by Google Bard: This video is about stream analytics and how it is different from traditional data warehousing and stream processing. The speaker, Darren, starts by defining what stream analytics is and why it is important. He then discusses the limitations of data warehouses and stream processors for real-time analytics. Finally, he introduces Apache Druid as a real-time database that can be used for stream analytics. Here are some key points from the video: Stream analytics is the process of analyzing data as it is being generated. Traditional data warehouses are not designed for real-time analytics because they require data to be loaded in batches. Stream processors can be used for real-time analytics, but they are limited in their ability to handle large amounts of data and complex queries. Apache Druid is a real-time database that can be used for stream analytics. It is designed to ingest data in real-time and to make it queryable immediately. Apache Druid can also be used to store historical data, which allows you to compare real-time data to historical data. If you are interested in learning more about stream analytics, I recommend watching this video. It is a great introduction to the topic and provides a lot of valuable information.

  • @atari1040
    @atari1040 7 месяцев назад

    too quiet comparing to other vides ;-(

  • @atari1040
    @atari1040 7 месяцев назад

    love it!

  • @anantababa
    @anantababa 8 месяцев назад

    Can apache druid take streaming data from apache pulsar topic?

  • @utbhai
    @utbhai 9 месяцев назад

    Great presentation!

  • @subbuhariharan8074
    @subbuhariharan8074 9 месяцев назад

    Great presentation

  • @DollyBastard
    @DollyBastard 9 месяцев назад

    Excellent!

  • @avinashnadendlas73
    @avinashnadendlas73 10 месяцев назад

    Amazing

  • @utube0786
    @utube0786 11 месяцев назад

    excellent job in explaining - thank you!

  • @bratbiswas
    @bratbiswas 11 месяцев назад

    Incorrect scaling of dimension axis! Is the data reliable?

  • @bhaskaraggarwal8971
    @bhaskaraggarwal8971 11 месяцев назад

    Awesome.. Conceptually clear..✨ Thank you!

  • @hsbalive4214
    @hsbalive4214 Год назад

    Can I run druid on windows? Can it be used as a big data warehouse and to be used with python?

    • @roharbaconmoo
      @roharbaconmoo Год назад

      Windows is garbage and you should be ashamed for using it. However there is a Python library, and a RESTful API.. so yes on that.

    • @jamesmcvey8733
      @jamesmcvey8733 11 месяцев назад

      @@roharbaconmoo 🤣

    • @tacorevenge87
      @tacorevenge87 11 месяцев назад

      😂

    • @flam7469
      @flam7469 2 месяца назад

      Python is garbage and you should be ashamed for using it. However, since there's an API, you should use a real language to build a library.

  • @user-yw8np2ph3w
    @user-yw8np2ph3w Год назад

    perfect!

  • @raylovemutter8879
    @raylovemutter8879 Год назад

    thanks

  • @ibukunadeleke1331
    @ibukunadeleke1331 Год назад

    Hello Glen, let's talk I can finish working on the Jira Service Desk. My role at Facebook was closed due to budget.

  • @snad-xj9mp
    @snad-xj9mp Год назад

    Nice explanation. What kind of board is that?

  • @imkx13
    @imkx13 Год назад

    Amazing presentation. Can you please share druid query benchmark tool?

  • @abooaw4588
    @abooaw4588 Год назад

    Thanks for making druid tutorial hands-on oriented with the 0.21 version. Now(feb2023) that i am in the 25.0.0 version how can i perform these hands-on .

  • @pm1462
    @pm1462 Год назад

    Not sure how you claimed snowflake connection with Storage to Compute is slow.

  • @tijothomas60
    @tijothomas60 Год назад

    can u provide ur blog link here

  • @programminginterviewsprepa7710

    You are the best!

  • @programminginterviewsprepa7710

    How did you do the disappearing drawings?

    • @sergioferragut7439
      @sergioferragut7439 Год назад

      I drew the whole diagram on an iPad using GoodNotes, created versions of each diagram, where I erased portions, organized them in a notebook so they would build in order. The recording ended up with the page flips from GoodNotes, so I split the audio and video and then used transitions in Camtasia to simulate drawing out the next portion. 🙂

    • @programminginterviewsprepa7710
      @programminginterviewsprepa7710 Год назад

      @@sergioferragut7439 omg :)

  • @programminginterviewsprepa7710

    I'm considering using druid and these lectures are highly valuable please post more deep dives. Also real life use cases with end to end design and implementation and how to unit test ingestion spec would be highly valuable.

  • @vishalsinha9646
    @vishalsinha9646 Год назад

    How about memory requirements comparison?

  • @neddiesh
    @neddiesh Год назад

    thinking back to a bunch of greps and tails, this must be valuable. thanks!

  • @Shogoeu
    @Shogoeu Год назад

    This comparison is, of course, biased, so take it with a grain of salt.

  • @melfes525
    @melfes525 Год назад

    19:43 comparison

  • @geeklogbook
    @geeklogbook Год назад

    "Druid, it's like a search system, and a data warehouse, and a time series database all mixed together"

  • @surender665
    @surender665 Год назад

    Hi Please help me. i want to create connection between Apache druid and Power bi. How can send data in power bi from druid.

  • @michaeldeng1981
    @michaeldeng1981 Год назад

    ruclips.net/video/GvVYG6chYoI/видео.html, Apache Pinot vs Apache Druid & Real-Time Analytics (LinkedIn Profile Insights)

  • @brandirebeca8484
    @brandirebeca8484 Год назад

    𝔭𝔯𝔬𝔪𝔬𝔰𝔪

  • @kluberg1975
    @kluberg1975 Год назад

    Thanks Darin! very useful :-)

  • @crystalchan5062
    @crystalchan5062 Год назад

    Great explanation! Thanks Carl !

  • @TestTEst-le8py
    @TestTEst-le8py 2 года назад

    Lol, you guys suck - filtering comments that mention alternative databases.

  • @wonder-chang
    @wonder-chang 2 года назад

    합격