published_versions/js/FeaturedContent.js

/*
Used by ContentWidget.js in index.js to display the first 5 entries from the top. 
*/

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

 

export const Content = [
   {
    "date": "2024-09-04",
    "title": "APIs, Analytics, and Apache Druid: How Kong Delivers API Observability and Insights",
    "name": "Reena Leone",
    "link": "https://imply.io/podcast/apis-analytics-apache-druid-kong-api-observability-insights-hiroshi-fukada/",
    "company": "Imply"
  },
 {
    "date": "2024-09-22",
    "title": "Druid Data Cookbook: Flattening Arrays of Complex Objects",
    "name": "Hellmar Becker",
    "link": "https://blog.hellmar-becker.de/2024/09/22/druid-data-cookbook-flattening-arrays-of-complex-objects/",
    "company": "Imply"
  },
  {
    "date": "2024-06-17",
    "title": "Using Spectator Histogram and DDSketch for Advanced Statistical Analysis",
    "name": "Reena Leone",
    "link": "https://imply.io/blog/community-spotlight-using-netflix-spectator-histogram-kongs-ddsketch-apache-druid-advanced-statistical-analysis/",
    "company": "Imply"
  },
  {
    "date": "2024-04-29",
    "title": "Monitoring Apache Druid in Grafana",
    "name": "Beata Zawiślak",
    "link": "https://www.deep.bi/blog/monitoring-apache-druid-in-grafana",
    "company": "Deep.BI"
  },
  {
    "date": "2024-03-29",
    "title": "Getting up to Speed on Druid’s Performance, Ecosystem, and SQL Compliance",
    "name": "Reena Leone",
    "link": "https://imply.io/podcast/apache-druid-29-getting-up-to-speed-performance-ecosystem-sql-compliance-sergio-ferragut/",
    "company": "Imply"
  },
  {
    "date": "2023-11-25",
    "title": "Druid Data Cookbook: Upserts in Druid SQL",
    "name": "Hellmar Becker",
    "link": "https://blog.hellmar-becker.de/2023/11/25/druid-data-cookbook-upserts-in-druid-sql/",
    "company": "Imply"
  },
  {
    "date": "2023-09-07",
    "title": "New in Apache Druid 27: Querying Deep Storage",
    "name": "Hellmar Becker",
    "link": "https://blog.hellmar-becker.de/2023/09/07/new-in-apache-druid-27-querying-deep-storage/",
    "company": "Imply"
  },
  {
    "date": "2023-08-29",
    "title": "Using Druid with MinIO",
    "name": "Hellmar Becker",
    "link": "https://blog.hellmar-becker.de/2023/08/29/using-druid-with-minio/",
    "company": "Imply"
  },
  {
    "date": "2023-06-28",
    "title": "Indexes in Apache Druid",
    "name": "Hellmar Becker",
    "link": "https://blog.hellmar-becker.de/2023/06/28/indexes-in-apache-druid/",
    "company": "Imply"
  },
  {
    "date": "2023-04-23",
    "title": "Multi-Value Dimensions in Apache Druid (Part 5)",
    "name": "Hellmar Becker",
    "link": "https://blog.hellmar-becker.de/2023/04/23/multivalue-dimensions-in-apache-druid-part-5/",
    "company": "Imply"
  },
  {
    "date": "2023-04-08",
    "title": "Druid Sneak Peek: Timeseries Interpolation",
    "name": "Hellmar Becker",
    "link": "https://blog.hellmar-becker.de/2023/04/08/druid-sneak-peek-timeseries-interpolation/",
    "company": "Imply"
  },
  {
    "date": "2023-03-07",
    "title": "Selective Bulk Upserts in Apache Druid",
    "name": "Hellmar Becker",
    "link": "https://blog.hellmar-becker.de/2023/03/07/selective-bulk-upserts-in-apache-druid/",
    "company": "Imply"
  },

  {
      "date": "2023-01-27",
      "title": "Primary and secondary partitioning",
      "name": "Sergio Ferragut",
      "link": "https://imply.io/blog/real-time-analytics-database-uses-partitioning-and-pruning-to-achieve-its-legendary-performance/",
      "company": "Imply"
    },
    {
      "date": "2023-01-27",
      "title": "Using Apache Druid for analyzing streaming data",
      "name": "Julia Brouillette",
      "link": "https://devops.com/stream-big-think-bigger-analyze-streaming-data-at-scale/",
      "company": "Imply"
    },
    {
      "date": "2022-12-15",
      "title": "Why Confluent analyzes Kafka streams with Druid",
      "name": "Matt Armstrong",
      "link": "https://www.youtube.com/watch?v=Bozxc3vP1PA",
      "company": "Imply"
    },
    {
      "date": "2022-12-14",
      "title": "Support for nested JSON columns in Druid",
      "name": "Karthik Kasibhatla",
      "link": "https://imply.io/blog/native-support-for-semi-structured-data-in-apache-druid/",
      "company": "Imply"
    },
    {
      "date": "2022-12-02",
      "title": "Apache Druid's fit in the modern data stack",
      "name": "David Wang",
      "link": "https://imply.io/videos/apache-druids-fit-in-the-modern-data-stack/",
      "company": "Imply"
    },
    {
      "date": "2023-01-22",
      "title": "Apache Druid: Data Lifecycle Management",
      "name": "Hellmar Becker",
      "link": "https://blog.hellmar-becker.de/2023/01/22/apache-druid-data-lifecycle-management/",
      "company": "Imply"
    },
    {
      "date": "2022-03-20",
      "title": "Druid Data Cookbook: Quantiles in Druid with Data Sketches",
      "name": "Hellmar Becker",
      "link": "https://blog.hellmar-becker.de/2022/03/20/druid-data-cookbook-quantiles-in-druid-with-datasketches/",
      "company": "Imply"
    },
    {
      "date": "2022-02-09",
      "title": "Druid Data Cookbook: Ingestion Transforms",
      "name": "Hellmar Becker",
      "link": "https://blog.hellmar-becker.de/2022/02/09/druid-data-cookbook-ingestion-transforms/",
      "company": "Imply"
    },
    {
      "date": "2022-02-04",
      "title": "Multi-dimensional range partitioning",
      "name": "Kashif Faraz",
      "link": "https://imply.io/blog/multi-dimensional-range-partitioning/",
      "company": "Imply"
    },
    {
      "date": "2021-12-16",
      "title": "Seeking the Perfect Apache Druid Rollup",
      "name": "Neil Buesing",
      "link": "https://www.rilldata.com/blog/seeking-the-perfect-apache-druid-rollup",
      "company": "Rill Data"
    },
    {
      "date": "2021-11-08",
      "title": "Scaling Apache Druid for Real-Time Cloud Analytics at Confluent",
      "name": "Harini Rajendran, Zohreh Krimi",
      "link": "https://www.confluent.io/blog/scaling-apache-druid-for-real-time-cloud-analytics-at-confluent/",
      "company": "Confluent"
    },
    {
      "date": "2021-10-01",
      "title": "Setting up Apache Druid on Kubernetes in under 30 minutes",
      "name": "Adheip Singh",
      "link": "https://www.rilldata.com/blog/setting-up-apache-druid-on-kubernetes-part-one",
      "company": "Rill Data"
    },
    {
      "date": "2021-09-25",
      "title": "Multi-Value Dimensions in Apache Druid (Part 3)",
      "name": "Hellmar Becker",
      "link": "https://blog.hellmar-becker.de/2021/09/25/multivalue-dimensions-in-apache-druid-part-3/",
      "company": "Imply"
    },
    {
      "date": "2021-09-08",
      "title": "Anomaly detection using Druid and Imply Pivot",
      "name": "Vijay Narayanan",
      "link": "https://vijay-narayanan-bigdata.medium.com/anomaly-detection-using-druid-and-imply-pivot-d6cd5bf158db",
      "company": "Imply"
    },
    {
      "date": "2021-08-16",
      "title": "Druid: Event-Driven Data with Eric Tschetter",
      "name": "Jeff Meyerson",
      "link": "https://softwareengineeringdaily.com/2021/08/16/druid-event-driven-data-with-eric-tschetter/",
      "company": "SE Daily"
    },
    {
      "date": "2021-08-18",
      "title": "Augmented analytics on business metrics by Cuebook with Apache Druid",
      "name": "Sachin Bansal",
      "link": "https://imply.io/post/augmented-analytics-on-business-metrics-by-cuebook",
      "company": "Cuebook"
    },
    {
      "date": "2021-08-11",
      "title": "Was ist Apache Druid?",
      "name": "Stefan Luber",
      "link": "https://www.bigdata-insider.de/was-ist-apache-druid-a-1044465/",
      "company": "Big Data Insider"
    },
    {
      "date": "2021-08-09",
      "title": "Funnel Analysis with Spark, Druid and DataSketches",
      "name": "Itai Yaffe, Yakir Buskila",
      "link": "https://youtu.be/dOBb0IOdsnU",
      "company": "Databricks Data and AI Summit 2021"
    },
    {
      "date": "2021-07-26",
      "title": "Apache Druid Deep Dive",
      "name": "Jon King",
      "link": "https://youtu.be/TkARXVqDvEw",
      "company": "RVA Data Engineering"
    },
    {
      "date": "2021-07-21",
      "title": "Apache Druid – Datenspeicher mit geringen Latenzen",
      "name": "Thomas Joos, Nico Litzel",
      "link": "https://www.bigdata-insider.de/apache-druid-datenspeicher-mit-geringen-latenzen-a-1034042/",
      "company": "Big Data Insider"
    },
    {
      "date": "2021-06-17",
      "title": "Casting the spell: Druid in Practice",
      "name": "Itai Yaffe, Yakir Buskila",
      "link": "https://youtu.be/QAitmv8QRq4",
      "company": "Berlin Buzzwords 2021"
    },
    {
      "date": "2021-06-07",
      "title": "Intro to Apache Druid … What is this Devilry",
      "name": "Daniel Beach",
      "link": "https://www.confessionsofadataguy.com/intro-to-apache-druid-what-is-this-devilry/",
      "company": "Confessions of a Data Guy Blog"
    },
    {
      "date": "2021-02-22",
      "title": "Data Modeling and Query Performance in Apache Druid",
      "name": "Matt Sarrel",
      "link": "https://www.druidforum.org/t/data-modeling-and-query-performance-in-apache-druid/5942",
      "company": "Imply"
    },
    {
      "date": "2020-04-16",
      "title": "Apache Druid Vision and Roadmap",
      "name": "Gian Merlino",
      "link": "https://youtu.be/IhqDsoIHqWY",
      "company": "Imply"
    },
    {
      "date": "2020-04-16",
      "title": "Automating CI/CD for Druid Clusters at Athena Health",
      "name": "Shyam Mudambi, Ramesh Kempanna and Karthik Urs",
      "link": "https://youtu.be/XGzMJBM8xeg",
      "company": "Athena Health"
    },
    {
      "date": "2020-04-13",
      "title": "Holistic AML compliance using Apache Druid",
      "name": "Arpit Dubey",
      "link": "https://youtu.be/Ly3HFbbEihQ",
      "company": "DBS"
    },
    {
      "date": "2020-04-13",
      "title": "How Apache Druid Powers Real-Time Analytics at BT",
      "name": "Pankaj Tiwari",
      "link": "https://youtu.be/QZUunUDQ8p4",
      "company": "BT"
    },
    {
      "date": "2020-04-13",
      "title": "Analytics over Terabytes of Data at Twitter using Apache Druid",
      "name": "Swapnesh Gandhi",
      "link": "https://imply.io/virtual-druid-summit/analytics-over-terabytes-of-data-at-twitter-apache-druid",
      "company": "MoPub"
    },
    {
      "date": "2020-04-13",
      "title": "Using Druid for Network Monitoring and Trust Analytics at Cisco",
      "name": "TJ Giuli and Abhishek Balaji Radhakrishnan",
      "link": "https://youtu.be/KXytFBehvXA",
      "company": "Cisco"
    },
    {
      "date": "2020-04-13",
      "title": "Apache Druid Fireside Chat (Ask Us Anything",
      "name": "Fangjin Yang, Gian Merlino and Vadim Ogievetsky",
      "link": "https://youtu.be/5JJccj_dSBk",
      "company": "Imply"
    },
    {
      "date": "2020-03-03",
      "title": "How Netflix uses Druid for Real-time Insights to Ensure a High-Quality Experience",
      "name": "Ben Sykes",
      "link": "https://netflixtechblog.com/how-netflix-uses-druid-for-real-time-insights-to-ensure-a-high-quality-experience-19e1e8568d06",
      "company": "Netflix"
    },
    {
      "date": "2020-01-30",
      "title": "Introducing Druid 0.17.0",
      "name": "Gian Merlino",
      "link": "https://imply.io/post/announcing-druid-0.17.0",
      "company": "Imply"
    },
    {
      "date": "2019-12-10",
      "title": "Druid: Reflections at a Milestone",
      "name": "Gian Merlino",
      "link": "https://imply.io/post/reflecting-on-druid",
      "company": "Imply"
    },
    {
      "date": "2019-11-21",
      "title": "How Nielsen Marketing Cloud Uses Druid for Audience and Marketing Performance Analysis",
      "name": "Itai Yaffe",
      "link": "https://imply.io/post/nielsen-marketing-audience-analysis",
      "company": "Nielsen"
    },
    {
      "date": "2019-10-16",
      "title": "Druid query view: An elegant SQL interface for a more civilized age",
      "name": "Margaret Brewster",
      "link": "https://imply.io/post/druid-console-query-view",
      "company": "Imply"
    },
    {
      "date": "2019-09-15",
      "title": "Data Retention and Deletion in Apache Druid",
      "name": "Dana Assa and Itai Yaffe",
      "link": "https://medium.com/nmc-techblog/data-retention-and-deletion-in-apache-druid-74ffd12398a8",
      "company": "Nielsen"
    },
    {
      "date": "2019-08-11",
      "title": "Understanding Spark Streaming with Kafka and Druid",
      "name": "Daria Litvinov",
      "link": "https://medium.com/outbrain-engineering/understanding-spark-streaming-with-kafka-and-druid-25b69e28dcb7",
      "company": "Outbrain"
    },
    {
      "date": "2019-07-08",
      "title": "The Zscaler difference - security at cloud scale",
      "name": "Subramanian Srinivasan and Kevin Fletcher",
      "link": "https://imply.io/post/druid-at-zscaler-security-log-analytics",
      "company": "Zscaler"
    },
    {
      "date": "2019-07-03",
      "title": "Interactive Analytics at MoPub: Querying Terabytes of Data in Seconds",
      "name": "Aaron Rolett and Shravana Krishnamurthy",
      "link": "https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/interactive-analytics-at-mopub.html",
      "company": "Twitter"
    },
    {
      "date": "2019-06-27",
      "title": "Enrich API Brings Higher Match Rates with Multi-Field Enrichment Capabilities",
      "name": "Ken Michie",
      "link": "https://www.fullcontact.com/blog/enrich-api-brings-higher-match-rates-with-multi-field-enrichment-capabilities/",
      "company": "FullContact"
    },
    {
      "date": "2019-05-29",
      "title": "Monitoring at eBay with Druid",
      "name": "Mohan Garadi",
      "link": "https://www.ebayinc.com/stories/blogs/tech/monitoring-at-ebay-with-druid/",
      "company": "ebay"
    },
    {
      "date": "2019-05-22",
      "title": "Setting the stage for fast analytics with Druid",
      "name": "Surekha Saharan and Benjamin Hopp",
      "link": "https://speakerdeck.com/implydatainc/setting-the-stage-for-fast-analytics-with-druid",
      "company": "Imply"
    },
    {
      "date": "2019-03-15",
      "title": "Data Engineering At Booking.com - a case study",
      "name": "Andreas Kretz",
      "link": "https://youtu.be/9GE3yiVo1FM",
      "company": "Booking.com"
    },
    {
      "date": "2018-11-14",
      "title": "How Druid enables analytics at Airbnb",
      "name": "Pala Muthiah and Jinyang Li",
      "link": "https://medium.com/airbnb-engineering/druid-airbnb-data-platform-601c312f2a4c",
      "company": "Airbnb"
    },
    {
      "date": "2018-09-25",
      "title": "Data Analytics and Processing at Snap",
      "name": "Charles Allen",
      "link": "https://www.slideshare.net/CharlesAllen9/data-analytics-and-processing-at-snap-druid-meetup-la-september-2018",
      "company": "Snap, Inc."
    },
    {
      "date": "2018-09-13",
      "title": "Securing Druid",
      "name": "Jon Wei",
      "link": "https://imply.io/post/securing-druid",
      "company": "Imply"
    },
    {
      "date": "2018-08-30",
      "title": "Streaming SQL and Druid",
      "name": "Arup Malakar",
      "link": "https://youtu.be/ovZ9iAkQllo",
      "company": "Lyft"
    },
    {
      "date": "2018-06-19",
      "title": "PayPal merchant ecosystem using Apache Spark, Hive, Druid, and HBase",
      "name": "Deepika Khera & Kasi Natarajan",
      "link": "https://youtu.be/HJvuU0CQS44",
      "company": "Paypal"
    }
  ]