SlideShare a Scribd company logo
1 of 32
Download to read offline
Apache®, Apache Druid®, Druid®, and the Druid logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.
peter.marshall@imply.io
20 years in Enterprise Architecture
CRM, EDRM, ERP, EIP, Digital Services,
Security, BI, RI, and MDM
BA Theology (!) and Computer Studies
TOGAF certified
Book collector & A/V buyer
Prime Timeline = proper timeline
#werk
petermarshall.io
What the collaborations do
Some principles
Each collaboration
Wrap-up
Questions!
Query
Distributed execution of SQL / Druid
Native queries on the cluster
Ingestion
Ingestion tasks that bring data into Druid
from storage and delivery services
Distribution
Replication and distribution of the
ingested data according to rules
● A job to do
● Compute to do the ingestion
● A place to store optimised data
● A question to answer
● Data to process!
● Compute to answer queries
● Somewhere to put the data that’s
near to the query process
● Some rules to follow
Query
Distributed execution of SQL / Druid
Native queries on the cluster
Ingestion
Ingestion tasks that bring data into Druid
from storage and delivery services
Distribution
Replication and distribution of the
ingested data according to rules
https://www.archimatetool.com/
What the collaborations do
Some principles
Each collaboration
Wrap-up
Questions!
Zookeeper
Overlord
Ingest
Spec
Task
Log
S3, GCS, ABS, HFDS, HTTP, Local, MySql, Postgres, Druid
Kafka Kinesis
Middle Manager
(Indexer)
Zookeeper
Overlord
Middle Manager
(Indexer)
Deep Store
Zookeeper
Overlord
Middle Manager
(Indexer) columnarise
index & encode
time-shardDeep Store
Deep Store
Metadata
Store
Zookeeper
Overlord
Middle Manager
(Indexer)
Metadata
Store
Broker
Middle Manager
(Indexer)
Overlord
Deep Store
Zookeeper
SQL
and
Native
Metadata
Store
Zookeeper
Broker
Middle Manager
(Indexer)
Overlord
Deep Store
Metadata
Store
Zookeeper
Broker
Middle Manager
(Indexer)
Overlord
Deep Store Historical
Middle Manager
(Indexer)
Metadata
Store
Zookeeper
Historical
BrokerOverlord
Deep Store
OverlordOverlordCoordinator
Metadata
Store
Historical
Zookeeper
BrokerOverlord
Middle Manager
(Indexer)
Deep Store
OverlordOverlordCoordinator
Metadata
Store
Historical
Zookeeper
BrokerOverlord
Middle Manager
(Indexer)
Deep Store
Zookeeper
Historical
OverlordOverlordCoordinator
Metadata
Store
Historical
BrokerOverlord
Middle Manager
(Indexer)
Deep Store
Historical
Zookeeper
Historical
Historical
OverlordOverlordCoordinator
Metadata
Store
Historical
BrokerOverlord
Middle Manager
(Indexer)
Deep Store
What the collaborations do
Some principles
Each collaboration
Wrap-up
Questions!
https://www.archimatetool.com/
Zookeeper
Coordinator
Overlord
Broker
Query
Distributed execution of SQL / Druid
Native queries on the cluster
Ingestion
Ingestion tasks that bring data into Druid
from storage and delivery services
Distribution
Replication and distribution of the
ingested data according to rules
★ A job to do
★ Compute to do the ingestion
★ A place to store optimised data
★ A question to answer
★ Data to process!
★ Compute to answer queries
★ Somewhere to put the data that’s
near to the query process
★ Some rules to follow
Query
Distributed execution of SQL / Druid
Native queries on the cluster
Ingestion
Ingestion tasks that bring data into Druid
from storage and delivery services
Distribution
Replication and distribution of the
ingested data according to rules
http://druid.apache.org
Imply Distribution
https://imply.io/get-started
@druidio
Add Apache Druid
as a skill
Apache Distribution
https://github.com/apache/druid
ASF Slack
#druid
Druid Community
https://druid.apache.org/community/
Meetup Groups
https://www.meetup.com/pro/apache-druid/
Google Groups Druid User Forum
https://groups.google.com/
What the collaborations do
Some principles
Each collaboration
Wrap-up
Questions!

More Related Content

What's hot

Aggregated queries with Druid on terrabytes and petabytes of data
Aggregated queries with Druid on terrabytes and petabytes of dataAggregated queries with Druid on terrabytes and petabytes of data
Aggregated queries with Druid on terrabytes and petabytes of dataRostislav Pashuto
 
Trino: A Ludicrously Fast Query Engine - Pulsar Summit NA 2021
Trino: A Ludicrously Fast Query Engine - Pulsar Summit NA 2021Trino: A Ludicrously Fast Query Engine - Pulsar Summit NA 2021
Trino: A Ludicrously Fast Query Engine - Pulsar Summit NA 2021StreamNative
 
Iceberg: a fast table format for S3
Iceberg: a fast table format for S3Iceberg: a fast table format for S3
Iceberg: a fast table format for S3DataWorks Summit
 
Iceberg: A modern table format for big data (Strata NY 2018)
Iceberg: A modern table format for big data (Strata NY 2018)Iceberg: A modern table format for big data (Strata NY 2018)
Iceberg: A modern table format for big data (Strata NY 2018)Ryan Blue
 
Apache Iceberg Presentation for the St. Louis Big Data IDEA
Apache Iceberg Presentation for the St. Louis Big Data IDEAApache Iceberg Presentation for the St. Louis Big Data IDEA
Apache Iceberg Presentation for the St. Louis Big Data IDEAAdam Doyle
 
Extending Druid Index File
Extending Druid Index FileExtending Druid Index File
Extending Druid Index FileNavis Ryu
 
A Thorough Comparison of Delta Lake, Iceberg and Hudi
A Thorough Comparison of Delta Lake, Iceberg and HudiA Thorough Comparison of Delta Lake, Iceberg and Hudi
A Thorough Comparison of Delta Lake, Iceberg and HudiDatabricks
 
Data Science Across Data Sources with Apache Arrow
Data Science Across Data Sources with Apache ArrowData Science Across Data Sources with Apache Arrow
Data Science Across Data Sources with Apache ArrowDatabricks
 
Premier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidPremier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidHortonworks
 
The Parquet Format and Performance Optimization Opportunities
The Parquet Format and Performance Optimization OpportunitiesThe Parquet Format and Performance Optimization Opportunities
The Parquet Format and Performance Optimization OpportunitiesDatabricks
 
Solving Enterprise Data Challenges with Apache Arrow
Solving Enterprise Data Challenges with Apache ArrowSolving Enterprise Data Challenges with Apache Arrow
Solving Enterprise Data Challenges with Apache ArrowWes McKinney
 
Druid and Hive Together : Use Cases and Best Practices
Druid and Hive Together : Use Cases and Best PracticesDruid and Hive Together : Use Cases and Best Practices
Druid and Hive Together : Use Cases and Best PracticesDataWorks Summit
 
Presto Summit 2018 - 09 - Netflix Iceberg
Presto Summit 2018  - 09 - Netflix IcebergPresto Summit 2018  - 09 - Netflix Iceberg
Presto Summit 2018 - 09 - Netflix Icebergkbajda
 
Building an open data platform with apache iceberg
Building an open data platform with apache icebergBuilding an open data platform with apache iceberg
Building an open data platform with apache icebergAlluxio, Inc.
 
Databricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks
 
Databricks Fundamentals
Databricks FundamentalsDatabricks Fundamentals
Databricks FundamentalsDalibor Wijas
 
Near Real-Time Netflix Recommendations Using Apache Spark Streaming with Nit...
 Near Real-Time Netflix Recommendations Using Apache Spark Streaming with Nit... Near Real-Time Netflix Recommendations Using Apache Spark Streaming with Nit...
Near Real-Time Netflix Recommendations Using Apache Spark Streaming with Nit...Databricks
 

What's hot (20)

Aggregated queries with Druid on terrabytes and petabytes of data
Aggregated queries with Druid on terrabytes and petabytes of dataAggregated queries with Druid on terrabytes and petabytes of data
Aggregated queries with Druid on terrabytes and petabytes of data
 
Trino: A Ludicrously Fast Query Engine - Pulsar Summit NA 2021
Trino: A Ludicrously Fast Query Engine - Pulsar Summit NA 2021Trino: A Ludicrously Fast Query Engine - Pulsar Summit NA 2021
Trino: A Ludicrously Fast Query Engine - Pulsar Summit NA 2021
 
Iceberg: a fast table format for S3
Iceberg: a fast table format for S3Iceberg: a fast table format for S3
Iceberg: a fast table format for S3
 
Iceberg: A modern table format for big data (Strata NY 2018)
Iceberg: A modern table format for big data (Strata NY 2018)Iceberg: A modern table format for big data (Strata NY 2018)
Iceberg: A modern table format for big data (Strata NY 2018)
 
Apache Iceberg Presentation for the St. Louis Big Data IDEA
Apache Iceberg Presentation for the St. Louis Big Data IDEAApache Iceberg Presentation for the St. Louis Big Data IDEA
Apache Iceberg Presentation for the St. Louis Big Data IDEA
 
Extending Druid Index File
Extending Druid Index FileExtending Druid Index File
Extending Druid Index File
 
A Thorough Comparison of Delta Lake, Iceberg and Hudi
A Thorough Comparison of Delta Lake, Iceberg and HudiA Thorough Comparison of Delta Lake, Iceberg and Hudi
A Thorough Comparison of Delta Lake, Iceberg and Hudi
 
Data Science Across Data Sources with Apache Arrow
Data Science Across Data Sources with Apache ArrowData Science Across Data Sources with Apache Arrow
Data Science Across Data Sources with Apache Arrow
 
Premier Inside-Out: Apache Druid
Premier Inside-Out: Apache DruidPremier Inside-Out: Apache Druid
Premier Inside-Out: Apache Druid
 
The Parquet Format and Performance Optimization Opportunities
The Parquet Format and Performance Optimization OpportunitiesThe Parquet Format and Performance Optimization Opportunities
The Parquet Format and Performance Optimization Opportunities
 
Druid deep dive
Druid deep diveDruid deep dive
Druid deep dive
 
Solving Enterprise Data Challenges with Apache Arrow
Solving Enterprise Data Challenges with Apache ArrowSolving Enterprise Data Challenges with Apache Arrow
Solving Enterprise Data Challenges with Apache Arrow
 
Druid and Hive Together : Use Cases and Best Practices
Druid and Hive Together : Use Cases and Best PracticesDruid and Hive Together : Use Cases and Best Practices
Druid and Hive Together : Use Cases and Best Practices
 
Presto Summit 2018 - 09 - Netflix Iceberg
Presto Summit 2018  - 09 - Netflix IcebergPresto Summit 2018  - 09 - Netflix Iceberg
Presto Summit 2018 - 09 - Netflix Iceberg
 
Architecting a datalake
Architecting a datalakeArchitecting a datalake
Architecting a datalake
 
Building an open data platform with apache iceberg
Building an open data platform with apache icebergBuilding an open data platform with apache iceberg
Building an open data platform with apache iceberg
 
The basics of fluentd
The basics of fluentdThe basics of fluentd
The basics of fluentd
 
Databricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With Data
 
Databricks Fundamentals
Databricks FundamentalsDatabricks Fundamentals
Databricks Fundamentals
 
Near Real-Time Netflix Recommendations Using Apache Spark Streaming with Nit...
 Near Real-Time Netflix Recommendations Using Apache Spark Streaming with Nit... Near Real-Time Netflix Recommendations Using Apache Spark Streaming with Nit...
Near Real-Time Netflix Recommendations Using Apache Spark Streaming with Nit...
 

Similar to Apache Druid Roles

Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Imply
 
20th Athens Big Data Meetup - 1st Talk - Druid: the open source, performant, ...
20th Athens Big Data Meetup - 1st Talk - Druid: the open source, performant, ...20th Athens Big Data Meetup - 1st Talk - Druid: the open source, performant, ...
20th Athens Big Data Meetup - 1st Talk - Druid: the open source, performant, ...Athens Big Data
 
Druid Adoption Tips and Tricks
Druid Adoption Tips and TricksDruid Adoption Tips and Tricks
Druid Adoption Tips and TricksImply
 
August meetup - All about Apache Druid
August meetup - All about Apache Druid August meetup - All about Apache Druid
August meetup - All about Apache Druid Imply
 
"Building Data Warehouse with Google Cloud Platform", Artem Nikulchenko
"Building Data Warehouse with Google Cloud Platform",  Artem Nikulchenko"Building Data Warehouse with Google Cloud Platform",  Artem Nikulchenko
"Building Data Warehouse with Google Cloud Platform", Artem NikulchenkoFwdays
 
Hadoop summit 2010 frameworks panel elephant bird
Hadoop summit 2010 frameworks panel elephant birdHadoop summit 2010 frameworks panel elephant bird
Hadoop summit 2010 frameworks panel elephant birdKevin Weil
 
Salesforce & SAP Integration
Salesforce & SAP IntegrationSalesforce & SAP Integration
Salesforce & SAP IntegrationRaymond Gao
 
Turning Relational Database Tables into Hadoop Datasources by Kuassi Mensah
Turning Relational Database Tables into Hadoop Datasources by Kuassi MensahTurning Relational Database Tables into Hadoop Datasources by Kuassi Mensah
Turning Relational Database Tables into Hadoop Datasources by Kuassi MensahData Con LA
 
Next Generation Hadoop Introduction
Next Generation Hadoop IntroductionNext Generation Hadoop Introduction
Next Generation Hadoop IntroductionAdam Muise
 
Evolution of the DBA to Data Platform Administrator/Specialist
Evolution of the DBA to Data Platform Administrator/SpecialistEvolution of the DBA to Data Platform Administrator/Specialist
Evolution of the DBA to Data Platform Administrator/SpecialistTony Rogerson
 
Using the Power of Big SQL 3.0 to Build a Big Data-Ready Hybrid Warehouse
Using the Power of Big SQL 3.0 to Build a Big Data-Ready Hybrid WarehouseUsing the Power of Big SQL 3.0 to Build a Big Data-Ready Hybrid Warehouse
Using the Power of Big SQL 3.0 to Build a Big Data-Ready Hybrid WarehouseRizaldy Ignacio
 
Why databases cry at night
Why databases cry at nightWhy databases cry at night
Why databases cry at nightMichael Yarichuk
 
Ibm info sphere datastage and hadoop two best-of-breed solutions together-f...
Ibm info sphere datastage and hadoop   two best-of-breed solutions together-f...Ibm info sphere datastage and hadoop   two best-of-breed solutions together-f...
Ibm info sphere datastage and hadoop two best-of-breed solutions together-f...ArunshankarArjunan
 
Sql server enterprise edition awareness
Sql server enterprise edition awarenessSql server enterprise edition awareness
Sql server enterprise edition awarenessHamid J. Fard
 
Connecting Your Data Analytics Pipeline
Connecting Your Data Analytics PipelineConnecting Your Data Analytics Pipeline
Connecting Your Data Analytics PipelineAmazon Web Services
 
Designing big data analytics solutions on azure
Designing big data analytics solutions on azureDesigning big data analytics solutions on azure
Designing big data analytics solutions on azureMohamed Tawfik
 
Azure Data Factory ETL Patterns in the Cloud
Azure Data Factory ETL Patterns in the CloudAzure Data Factory ETL Patterns in the Cloud
Azure Data Factory ETL Patterns in the CloudMark Kromer
 
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...Lace Lofranco
 
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Precisely
 
Hadoop at the Center: The Next Generation of Hadoop
Hadoop at the Center: The Next Generation of HadoopHadoop at the Center: The Next Generation of Hadoop
Hadoop at the Center: The Next Generation of HadoopAdam Muise
 

Similar to Apache Druid Roles (20)

Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)Druid: Under the Covers (Virtual Meetup)
Druid: Under the Covers (Virtual Meetup)
 
20th Athens Big Data Meetup - 1st Talk - Druid: the open source, performant, ...
20th Athens Big Data Meetup - 1st Talk - Druid: the open source, performant, ...20th Athens Big Data Meetup - 1st Talk - Druid: the open source, performant, ...
20th Athens Big Data Meetup - 1st Talk - Druid: the open source, performant, ...
 
Druid Adoption Tips and Tricks
Druid Adoption Tips and TricksDruid Adoption Tips and Tricks
Druid Adoption Tips and Tricks
 
August meetup - All about Apache Druid
August meetup - All about Apache Druid August meetup - All about Apache Druid
August meetup - All about Apache Druid
 
"Building Data Warehouse with Google Cloud Platform", Artem Nikulchenko
"Building Data Warehouse with Google Cloud Platform",  Artem Nikulchenko"Building Data Warehouse with Google Cloud Platform",  Artem Nikulchenko
"Building Data Warehouse with Google Cloud Platform", Artem Nikulchenko
 
Hadoop summit 2010 frameworks panel elephant bird
Hadoop summit 2010 frameworks panel elephant birdHadoop summit 2010 frameworks panel elephant bird
Hadoop summit 2010 frameworks panel elephant bird
 
Salesforce & SAP Integration
Salesforce & SAP IntegrationSalesforce & SAP Integration
Salesforce & SAP Integration
 
Turning Relational Database Tables into Hadoop Datasources by Kuassi Mensah
Turning Relational Database Tables into Hadoop Datasources by Kuassi MensahTurning Relational Database Tables into Hadoop Datasources by Kuassi Mensah
Turning Relational Database Tables into Hadoop Datasources by Kuassi Mensah
 
Next Generation Hadoop Introduction
Next Generation Hadoop IntroductionNext Generation Hadoop Introduction
Next Generation Hadoop Introduction
 
Evolution of the DBA to Data Platform Administrator/Specialist
Evolution of the DBA to Data Platform Administrator/SpecialistEvolution of the DBA to Data Platform Administrator/Specialist
Evolution of the DBA to Data Platform Administrator/Specialist
 
Using the Power of Big SQL 3.0 to Build a Big Data-Ready Hybrid Warehouse
Using the Power of Big SQL 3.0 to Build a Big Data-Ready Hybrid WarehouseUsing the Power of Big SQL 3.0 to Build a Big Data-Ready Hybrid Warehouse
Using the Power of Big SQL 3.0 to Build a Big Data-Ready Hybrid Warehouse
 
Why databases cry at night
Why databases cry at nightWhy databases cry at night
Why databases cry at night
 
Ibm info sphere datastage and hadoop two best-of-breed solutions together-f...
Ibm info sphere datastage and hadoop   two best-of-breed solutions together-f...Ibm info sphere datastage and hadoop   two best-of-breed solutions together-f...
Ibm info sphere datastage and hadoop two best-of-breed solutions together-f...
 
Sql server enterprise edition awareness
Sql server enterprise edition awarenessSql server enterprise edition awareness
Sql server enterprise edition awareness
 
Connecting Your Data Analytics Pipeline
Connecting Your Data Analytics PipelineConnecting Your Data Analytics Pipeline
Connecting Your Data Analytics Pipeline
 
Designing big data analytics solutions on azure
Designing big data analytics solutions on azureDesigning big data analytics solutions on azure
Designing big data analytics solutions on azure
 
Azure Data Factory ETL Patterns in the Cloud
Azure Data Factory ETL Patterns in the CloudAzure Data Factory ETL Patterns in the Cloud
Azure Data Factory ETL Patterns in the Cloud
 
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
Microsoft Ignite AU 2017 - Orchestrating Big Data Pipelines with Azure Data F...
 
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
 
Hadoop at the Center: The Next Generation of Hadoop
Hadoop at the Center: The Next Generation of HadoopHadoop at the Center: The Next Generation of Hadoop
Hadoop at the Center: The Next Generation of Hadoop
 

More from Imply

Pivot 2.0 - The next generation visualization tool for your streaming data
Pivot 2.0 - The next generation visualization tool for your streaming dataPivot 2.0 - The next generation visualization tool for your streaming data
Pivot 2.0 - The next generation visualization tool for your streaming dataImply
 
Druid in Spot Instances
Druid in Spot InstancesDruid in Spot Instances
Druid in Spot InstancesImply
 
Zeotap: Data Modeling in Druid for Non temporal and Nested Data
Zeotap: Data Modeling in Druid for Non temporal and Nested DataZeotap: Data Modeling in Druid for Non temporal and Nested Data
Zeotap: Data Modeling in Druid for Non temporal and Nested DataImply
 
Nielsen: Casting the Spell - Druid in Practice
Nielsen: Casting the Spell - Druid in PracticeNielsen: Casting the Spell - Druid in Practice
Nielsen: Casting the Spell - Druid in PracticeImply
 
Building Data Applications with Apache Druid
Building Data Applications with Apache DruidBuilding Data Applications with Apache Druid
Building Data Applications with Apache DruidImply
 
Maximizing Apache Druid performance: Beyond the basics
Maximizing Apache Druid performance: Beyond the basicsMaximizing Apache Druid performance: Beyond the basics
Maximizing Apache Druid performance: Beyond the basicsImply
 
How Netflix Uses Druid in Real-time to Ensure a High Quality Streaming Experi...
How Netflix Uses Druid in Real-time to Ensure a High Quality Streaming Experi...How Netflix Uses Druid in Real-time to Ensure a High Quality Streaming Experi...
How Netflix Uses Druid in Real-time to Ensure a High Quality Streaming Experi...Imply
 
Building an Enterprise-Scale Dashboarding/Analytics Platform Powered by the C...
Building an Enterprise-Scale Dashboarding/Analytics Platform Powered by the C...Building an Enterprise-Scale Dashboarding/Analytics Platform Powered by the C...
Building an Enterprise-Scale Dashboarding/Analytics Platform Powered by the C...Imply
 
How TrafficGuard uses Druid to Fight Ad Fraud and Bots
How TrafficGuard uses Druid to Fight Ad Fraud and BotsHow TrafficGuard uses Druid to Fight Ad Fraud and Bots
How TrafficGuard uses Druid to Fight Ad Fraud and BotsImply
 
Apache Druid: Lightning Fast Analytics on Real-time and Historical Data (Atla...
Apache Druid: Lightning Fast Analytics on Real-time and Historical Data (Atla...Apache Druid: Lightning Fast Analytics on Real-time and Historical Data (Atla...
Apache Druid: Lightning Fast Analytics on Real-time and Historical Data (Atla...Imply
 
Benchmarking Apache Druid
Benchmarking Apache DruidBenchmarking Apache Druid
Benchmarking Apache DruidImply
 
Why data warehouses cannot support hot analytics
Why data warehouses cannot support hot analyticsWhy data warehouses cannot support hot analytics
Why data warehouses cannot support hot analyticsImply
 
What’s New in Imply 3.3 & Apache Druid 0.18
What’s New in Imply 3.3 & Apache Druid 0.18What’s New in Imply 3.3 & Apache Druid 0.18
What’s New in Imply 3.3 & Apache Druid 0.18Imply
 
Apache Druid Vision and Roadmap
Apache Druid Vision and RoadmapApache Druid Vision and Roadmap
Apache Druid Vision and RoadmapImply
 
Analytics over Terabytes of Data at Twitter
Analytics over Terabytes of Data at TwitterAnalytics over Terabytes of Data at Twitter
Analytics over Terabytes of Data at TwitterImply
 

More from Imply (15)

Pivot 2.0 - The next generation visualization tool for your streaming data
Pivot 2.0 - The next generation visualization tool for your streaming dataPivot 2.0 - The next generation visualization tool for your streaming data
Pivot 2.0 - The next generation visualization tool for your streaming data
 
Druid in Spot Instances
Druid in Spot InstancesDruid in Spot Instances
Druid in Spot Instances
 
Zeotap: Data Modeling in Druid for Non temporal and Nested Data
Zeotap: Data Modeling in Druid for Non temporal and Nested DataZeotap: Data Modeling in Druid for Non temporal and Nested Data
Zeotap: Data Modeling in Druid for Non temporal and Nested Data
 
Nielsen: Casting the Spell - Druid in Practice
Nielsen: Casting the Spell - Druid in PracticeNielsen: Casting the Spell - Druid in Practice
Nielsen: Casting the Spell - Druid in Practice
 
Building Data Applications with Apache Druid
Building Data Applications with Apache DruidBuilding Data Applications with Apache Druid
Building Data Applications with Apache Druid
 
Maximizing Apache Druid performance: Beyond the basics
Maximizing Apache Druid performance: Beyond the basicsMaximizing Apache Druid performance: Beyond the basics
Maximizing Apache Druid performance: Beyond the basics
 
How Netflix Uses Druid in Real-time to Ensure a High Quality Streaming Experi...
How Netflix Uses Druid in Real-time to Ensure a High Quality Streaming Experi...How Netflix Uses Druid in Real-time to Ensure a High Quality Streaming Experi...
How Netflix Uses Druid in Real-time to Ensure a High Quality Streaming Experi...
 
Building an Enterprise-Scale Dashboarding/Analytics Platform Powered by the C...
Building an Enterprise-Scale Dashboarding/Analytics Platform Powered by the C...Building an Enterprise-Scale Dashboarding/Analytics Platform Powered by the C...
Building an Enterprise-Scale Dashboarding/Analytics Platform Powered by the C...
 
How TrafficGuard uses Druid to Fight Ad Fraud and Bots
How TrafficGuard uses Druid to Fight Ad Fraud and BotsHow TrafficGuard uses Druid to Fight Ad Fraud and Bots
How TrafficGuard uses Druid to Fight Ad Fraud and Bots
 
Apache Druid: Lightning Fast Analytics on Real-time and Historical Data (Atla...
Apache Druid: Lightning Fast Analytics on Real-time and Historical Data (Atla...Apache Druid: Lightning Fast Analytics on Real-time and Historical Data (Atla...
Apache Druid: Lightning Fast Analytics on Real-time and Historical Data (Atla...
 
Benchmarking Apache Druid
Benchmarking Apache DruidBenchmarking Apache Druid
Benchmarking Apache Druid
 
Why data warehouses cannot support hot analytics
Why data warehouses cannot support hot analyticsWhy data warehouses cannot support hot analytics
Why data warehouses cannot support hot analytics
 
What’s New in Imply 3.3 & Apache Druid 0.18
What’s New in Imply 3.3 & Apache Druid 0.18What’s New in Imply 3.3 & Apache Druid 0.18
What’s New in Imply 3.3 & Apache Druid 0.18
 
Apache Druid Vision and Roadmap
Apache Druid Vision and RoadmapApache Druid Vision and Roadmap
Apache Druid Vision and Roadmap
 
Analytics over Terabytes of Data at Twitter
Analytics over Terabytes of Data at TwitterAnalytics over Terabytes of Data at Twitter
Analytics over Terabytes of Data at Twitter
 

Recently uploaded

Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationSafe Software
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersThousandEyes
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Patryk Bandurski
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 

Recently uploaded (20)

Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry InnovationBeyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
Beyond Boundaries: Leveraging No-Code Solutions for Industry Innovation
 
The transition to renewables in India.pdf
The transition to renewables in India.pdfThe transition to renewables in India.pdf
The transition to renewables in India.pdf
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for PartnersEnhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
#StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
Integration and Automation in Practice: CI/CD in Mule Integration and Automat...
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 

Apache Druid Roles