Submit Search
Upload
Hw09 Building Data Intensive Apps A Closer Look At Trending Topics.Org
•
Download as PPT, PDF
•
2 likes
•
1,137 views
Cloudera, Inc.
Follow
Technology
Report
Share
Report
Share
1 of 37
Download now
Recommended
Hw09 Hadoop Applications At Yahoo!
Hw09 Hadoop Applications At Yahoo!
Cloudera, Inc.
4.Building a Data Product using apache Zeppelin - Apache Kylin Meetup @Shanghai
4.Building a Data Product using apache Zeppelin - Apache Kylin Meetup @Shanghai
Luke Han
Machine Learning with H2O, Spark, and Python at Strata 2015
Machine Learning with H2O, Spark, and Python at Strata 2015
Sri Ambati
Presto in the cloud
Presto in the cloud
Qubole
Dynamic DDL: Adding Structure to Streaming Data on the Fly with David Winters...
Dynamic DDL: Adding Structure to Streaming Data on the Fly with David Winters...
Databricks
Jim Dowling - Multi-tenant Flink-as-a-Service on YARN
Jim Dowling - Multi-tenant Flink-as-a-Service on YARN
Flink Forward
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Amazon Web Services
Rental Cars and Industrialized Learning to Rank with Sean Downes
Rental Cars and Industrialized Learning to Rank with Sean Downes
Databricks
Recommended
Hw09 Hadoop Applications At Yahoo!
Hw09 Hadoop Applications At Yahoo!
Cloudera, Inc.
4.Building a Data Product using apache Zeppelin - Apache Kylin Meetup @Shanghai
4.Building a Data Product using apache Zeppelin - Apache Kylin Meetup @Shanghai
Luke Han
Machine Learning with H2O, Spark, and Python at Strata 2015
Machine Learning with H2O, Spark, and Python at Strata 2015
Sri Ambati
Presto in the cloud
Presto in the cloud
Qubole
Dynamic DDL: Adding Structure to Streaming Data on the Fly with David Winters...
Dynamic DDL: Adding Structure to Streaming Data on the Fly with David Winters...
Databricks
Jim Dowling - Multi-tenant Flink-as-a-Service on YARN
Jim Dowling - Multi-tenant Flink-as-a-Service on YARN
Flink Forward
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Running Fast, Interactive Queries on Petabyte Datasets using Presto - AWS Jul...
Amazon Web Services
Rental Cars and Industrialized Learning to Rank with Sean Downes
Rental Cars and Industrialized Learning to Rank with Sean Downes
Databricks
Building a Real-Time Data Pipeline: Apache Kafka at LinkedIn
Building a Real-Time Data Pipeline: Apache Kafka at LinkedIn
Amy W. Tang
SSR: Structured Streaming for R and Machine Learning
SSR: Structured Streaming for R and Machine Learning
felixcss
Analytics at Scale with Apache Spark on AWS with Jonathan Fritz
Analytics at Scale with Apache Spark on AWS with Jonathan Fritz
Databricks
Structured-Streaming-as-a-Service with Kafka, YARN, and Tooling with Jim Dowling
Structured-Streaming-as-a-Service with Kafka, YARN, and Tooling with Jim Dowling
Databricks
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
Amazon Web Services
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Jim Dowling
Strata Hadoop Hopsworks
Strata Hadoop Hopsworks
Jim Dowling
Mobius: C# Language Binding For Spark
Mobius: C# Language Binding For Spark
Spark Summit
Interoperating a Zoo of Data Processing Platforms Using with Rheem Sebastian ...
Interoperating a Zoo of Data Processing Platforms Using with Rheem Sebastian ...
Databricks
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
viirya
Big data Lambda Architecture - Batch Layer Hands On
Big data Lambda Architecture - Batch Layer Hands On
hkbhadraa
Natural Language Query and Conversational Interface to Apache Spark
Natural Language Query and Conversational Interface to Apache Spark
Databricks
Scalable Scientific Computing with Dask
Scalable Scientific Computing with Dask
Uwe Korn
Just enough DevOps for Data Scientists (Part II)
Just enough DevOps for Data Scientists (Part II)
Databricks
Developing apache spark jobs in .net using mobius
Developing apache spark jobs in .net using mobius
shareddatamsft
Data Pipeline with Kafka
Data Pipeline with Kafka
Peerapat Asoktummarungsri
Spark Summit EU talk by Ruben Pulido Behar Veliqi
Spark Summit EU talk by Ruben Pulido Behar Veliqi
Spark Summit
AWS April 2016 Webinar Series - Best Practices for Apache Spark on AWS
AWS April 2016 Webinar Series - Best Practices for Apache Spark on AWS
Amazon Web Services
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
Rafal Kwasny
Prototyping Data Intensive Apps: TrendingTopics.org
Prototyping Data Intensive Apps: TrendingTopics.org
Peter Skomoroch
Introduction to AWS Glue
Introduction to AWS Glue
Amazon Web Services
Big Data Analytics from Azure Cloud to Power BI Mobile
Big Data Analytics from Azure Cloud to Power BI Mobile
Roy Kim
More Related Content
What's hot
Building a Real-Time Data Pipeline: Apache Kafka at LinkedIn
Building a Real-Time Data Pipeline: Apache Kafka at LinkedIn
Amy W. Tang
SSR: Structured Streaming for R and Machine Learning
SSR: Structured Streaming for R and Machine Learning
felixcss
Analytics at Scale with Apache Spark on AWS with Jonathan Fritz
Analytics at Scale with Apache Spark on AWS with Jonathan Fritz
Databricks
Structured-Streaming-as-a-Service with Kafka, YARN, and Tooling with Jim Dowling
Structured-Streaming-as-a-Service with Kafka, YARN, and Tooling with Jim Dowling
Databricks
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
Amazon Web Services
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Jim Dowling
Strata Hadoop Hopsworks
Strata Hadoop Hopsworks
Jim Dowling
Mobius: C# Language Binding For Spark
Mobius: C# Language Binding For Spark
Spark Summit
Interoperating a Zoo of Data Processing Platforms Using with Rheem Sebastian ...
Interoperating a Zoo of Data Processing Platforms Using with Rheem Sebastian ...
Databricks
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
viirya
Big data Lambda Architecture - Batch Layer Hands On
Big data Lambda Architecture - Batch Layer Hands On
hkbhadraa
Natural Language Query and Conversational Interface to Apache Spark
Natural Language Query and Conversational Interface to Apache Spark
Databricks
Scalable Scientific Computing with Dask
Scalable Scientific Computing with Dask
Uwe Korn
Just enough DevOps for Data Scientists (Part II)
Just enough DevOps for Data Scientists (Part II)
Databricks
Developing apache spark jobs in .net using mobius
Developing apache spark jobs in .net using mobius
shareddatamsft
Data Pipeline with Kafka
Data Pipeline with Kafka
Peerapat Asoktummarungsri
Spark Summit EU talk by Ruben Pulido Behar Veliqi
Spark Summit EU talk by Ruben Pulido Behar Veliqi
Spark Summit
AWS April 2016 Webinar Series - Best Practices for Apache Spark on AWS
AWS April 2016 Webinar Series - Best Practices for Apache Spark on AWS
Amazon Web Services
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
Rafal Kwasny
Prototyping Data Intensive Apps: TrendingTopics.org
Prototyping Data Intensive Apps: TrendingTopics.org
Peter Skomoroch
What's hot
(20)
Building a Real-Time Data Pipeline: Apache Kafka at LinkedIn
Building a Real-Time Data Pipeline: Apache Kafka at LinkedIn
SSR: Structured Streaming for R and Machine Learning
SSR: Structured Streaming for R and Machine Learning
Analytics at Scale with Apache Spark on AWS with Jonathan Fritz
Analytics at Scale with Apache Spark on AWS with Jonathan Fritz
Structured-Streaming-as-a-Service with Kafka, YARN, and Tooling with Jim Dowling
Structured-Streaming-as-a-Service with Kafka, YARN, and Tooling with Jim Dowling
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
(BDT303) Running Spark and Presto on the Netflix Big Data Platform
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Hopsworks - Self-Service Spark/Flink/Kafka/Hadoop
Strata Hadoop Hopsworks
Strata Hadoop Hopsworks
Mobius: C# Language Binding For Spark
Mobius: C# Language Binding For Spark
Interoperating a Zoo of Data Processing Platforms Using with Rheem Sebastian ...
Interoperating a Zoo of Data Processing Platforms Using with Rheem Sebastian ...
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
Speed up Interactive Analytic Queries over Existing Big Data on Hadoop with P...
Big data Lambda Architecture - Batch Layer Hands On
Big data Lambda Architecture - Batch Layer Hands On
Natural Language Query and Conversational Interface to Apache Spark
Natural Language Query and Conversational Interface to Apache Spark
Scalable Scientific Computing with Dask
Scalable Scientific Computing with Dask
Just enough DevOps for Data Scientists (Part II)
Just enough DevOps for Data Scientists (Part II)
Developing apache spark jobs in .net using mobius
Developing apache spark jobs in .net using mobius
Data Pipeline with Kafka
Data Pipeline with Kafka
Spark Summit EU talk by Ruben Pulido Behar Veliqi
Spark Summit EU talk by Ruben Pulido Behar Veliqi
AWS April 2016 Webinar Series - Best Practices for Apache Spark on AWS
AWS April 2016 Webinar Series - Best Practices for Apache Spark on AWS
ETL with SPARK - First Spark London meetup
ETL with SPARK - First Spark London meetup
Prototyping Data Intensive Apps: TrendingTopics.org
Prototyping Data Intensive Apps: TrendingTopics.org
Similar to Hw09 Building Data Intensive Apps A Closer Look At Trending Topics.Org
Introduction to AWS Glue
Introduction to AWS Glue
Amazon Web Services
Big Data Analytics from Azure Cloud to Power BI Mobile
Big Data Analytics from Azure Cloud to Power BI Mobile
Roy Kim
BDA311 Introduction to AWS Glue
BDA311 Introduction to AWS Glue
Amazon Web Services
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
Yahoo Developer Network
AWS Big Data Landscape
AWS Big Data Landscape
Crishantha Nanayakkara
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Precisely
Building and deploying LLM applications with Apache Airflow
Building and deploying LLM applications with Apache Airflow
Kaxil Naik
Build Deep Learning Applications for Big Data Platforms (CVPR 2018 tutorial)
Build Deep Learning Applications for Big Data Platforms (CVPR 2018 tutorial)
Jason Dai
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Cloudera, Inc.
Apache-Flink-What-How-Why-Who-Where-by-Slim-Baltagi
Apache-Flink-What-How-Why-Who-Where-by-Slim-Baltagi
Slim Baltagi
Available platforms for Big Data 2.0
Available platforms for Big Data 2.0
Petr Novotný
Spark Summit San Francisco 2016 - Matei Zaharia Keynote: Apache Spark 2.0
Spark Summit San Francisco 2016 - Matei Zaharia Keynote: Apache Spark 2.0
Databricks
Agile data warehousing
Agile data warehousing
Sneha Challa
Datalake Architecture
Datalake Architecture
TechYugadi IT Solutions & Consulting
Tackle Your Dark Data Challenge with AWS Glue - AWS Online Tech Talks
Tackle Your Dark Data Challenge with AWS Glue - AWS Online Tech Talks
Amazon Web Services
Apache Arrow: Open Source Standard Becomes an Enterprise Necessity
Apache Arrow: Open Source Standard Becomes an Enterprise Necessity
Wes McKinney
API Platform 2.1: when Symfony meets ReactJS (Symfony Live 2017)
API Platform 2.1: when Symfony meets ReactJS (Symfony Live 2017)
Les-Tilleuls.coop
Hadoop Big Data A big picture
Hadoop Big Data A big picture
J S Jodha
Windows Azure HDInsight Service
Windows Azure HDInsight Service
Neil Mackenzie
(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...
(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...
Amazon Web Services
Similar to Hw09 Building Data Intensive Apps A Closer Look At Trending Topics.Org
(20)
Introduction to AWS Glue
Introduction to AWS Glue
Big Data Analytics from Azure Cloud to Power BI Mobile
Big Data Analytics from Azure Cloud to Power BI Mobile
BDA311 Introduction to AWS Glue
BDA311 Introduction to AWS Glue
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
Honu - A Large Scale Streaming Data Collection and Processing Pipeline__Hadoo...
AWS Big Data Landscape
AWS Big Data Landscape
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Big Data Goes Airborne. Propelling Your Big Data Initiative with Ironcluster ...
Building and deploying LLM applications with Apache Airflow
Building and deploying LLM applications with Apache Airflow
Build Deep Learning Applications for Big Data Platforms (CVPR 2018 tutorial)
Build Deep Learning Applications for Big Data Platforms (CVPR 2018 tutorial)
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Hadoop World 2011: Building Web Analytics Processing on Hadoop at CBS Interac...
Apache-Flink-What-How-Why-Who-Where-by-Slim-Baltagi
Apache-Flink-What-How-Why-Who-Where-by-Slim-Baltagi
Available platforms for Big Data 2.0
Available platforms for Big Data 2.0
Spark Summit San Francisco 2016 - Matei Zaharia Keynote: Apache Spark 2.0
Spark Summit San Francisco 2016 - Matei Zaharia Keynote: Apache Spark 2.0
Agile data warehousing
Agile data warehousing
Datalake Architecture
Datalake Architecture
Tackle Your Dark Data Challenge with AWS Glue - AWS Online Tech Talks
Tackle Your Dark Data Challenge with AWS Glue - AWS Online Tech Talks
Apache Arrow: Open Source Standard Becomes an Enterprise Necessity
Apache Arrow: Open Source Standard Becomes an Enterprise Necessity
API Platform 2.1: when Symfony meets ReactJS (Symfony Live 2017)
API Platform 2.1: when Symfony meets ReactJS (Symfony Live 2017)
Hadoop Big Data A big picture
Hadoop Big Data A big picture
Windows Azure HDInsight Service
Windows Azure HDInsight Service
(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...
(BDT302) Big Data Beyond Hadoop: Running Mahout, Giraph, and R on Amazon EMR ...
More from Cloudera, Inc.
Partner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptx
Cloudera, Inc.
Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists
Cloudera, Inc.
2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists
Cloudera, Inc.
Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019
Cloudera, Inc.
Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19
Cloudera, Inc.
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Cloudera, Inc.
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19
Cloudera, Inc.
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Cloudera, Inc.
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Cloudera, Inc.
Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19
Cloudera, Inc.
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Cloudera, Inc.
Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18
Cloudera, Inc.
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3
Cloudera, Inc.
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2
Cloudera, Inc.
Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1
Cloudera, Inc.
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the Platform
Cloudera, Inc.
Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18
Cloudera, Inc.
Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360
Cloudera, Inc.
Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18
Cloudera, Inc.
Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18
Cloudera, Inc.
More from Cloudera, Inc.
(20)
Partner Briefing_January 25 (FINAL).pptx
Partner Briefing_January 25 (FINAL).pptx
Cloudera Data Impact Awards 2021 - Finalists
Cloudera Data Impact Awards 2021 - Finalists
2020 Cloudera Data Impact Awards Finalists
2020 Cloudera Data Impact Awards Finalists
Edc event vienna presentation 1 oct 2019
Edc event vienna presentation 1 oct 2019
Machine Learning with Limited Labeled Data 4/3/19
Machine Learning with Limited Labeled Data 4/3/19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Data Driven With the Cloudera Modern Data Warehouse 3.19.19
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera DataFlow (CDF) 2.13.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Introducing Cloudera Data Science Workbench for HDP 2.12.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Shortening the Sales Cycle with a Modern Data Warehouse 1.30.19
Leveraging the cloud for analytics and machine learning 1.29.19
Leveraging the cloud for analytics and machine learning 1.29.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Modernizing the Legacy Data Warehouse – What, Why, and How 1.23.19
Leveraging the Cloud for Big Data Analytics 12.11.18
Leveraging the Cloud for Big Data Analytics 12.11.18
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 3
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 2
Modern Data Warehouse Fundamentals Part 1
Modern Data Warehouse Fundamentals Part 1
Extending Cloudera SDX beyond the Platform
Extending Cloudera SDX beyond the Platform
Federated Learning: ML with Privacy on the Edge 11.15.18
Federated Learning: ML with Privacy on the Edge 11.15.18
Analyst Webinar: Doing a 180 on Customer 360
Analyst Webinar: Doing a 180 on Customer 360
Build a modern platform for anti-money laundering 9.19.18
Build a modern platform for anti-money laundering 9.19.18
Introducing the data science sandbox as a service 8.30.18
Introducing the data science sandbox as a service 8.30.18
Recently uploaded
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
shyamraj55
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
Allon Mureinik
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
2toLead Limited
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Radu Cotescu
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
Puma Security, LLC
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Delhi Call girls
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
Pixlogix Infotech
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Miguel Araújo
The Evolution of Money: Digital Transformation and CBDCs in Central Banking
The Evolution of Money: Digital Transformation and CBDCs in Central Banking
Selcen Ozturkcan
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
Sinan KOZAK
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
Results
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Enterprise Knowledge
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
gurkirankumar98700
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
soniya singh
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
Maria Levchenko
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
ThousandEyes
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
OnBoard
Recently uploaded
(20)
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
The Evolution of Money: Digital Transformation and CBDCs in Central Banking
The Evolution of Money: Digital Transformation and CBDCs in Central Banking
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Kalyanpur ) Call Girls in Lucknow Finest Escorts Service 🍸 8923113531 🎰 Avail...
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Enhancing Worker Digital Experience: A Hands-on Workshop for Partners
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
Hw09 Building Data Intensive Apps A Closer Look At Trending Topics.Org
1.
Prototyping Data Intensive
Apps: TrendingTopics.org 09/29/09 1 Pete Skomoroch Research Scientist at LinkedIn Consultant at Data Wrangling @peteskomoroch
2.
3.
4.
TrendingTopics.org
5.
Daily Pageview Timeline
Charts
6.
Detects Rising Trends
with Hadoop
7.
8.
Technology Stack
9.
Application Data Flow
10.
11.
12.
13.
14.
Python Streaming for
Daily Timelines
15.
Streaming: Filter &
Aggregate Logs
16.
17.
Fixing Wiki Redirects
with Hive JOIN
18.
Trend Detection With
Hadoop
19.
Hourly Data: “Java”
vs. “Hangover”
20.
21.
Call Python Trend
Mapper from Hive
22.
Simple Trend Calculation
in Python
23.
Use Trend Scores
to Rank Articles
24.
25.
Hooking It All
Together
26.
27.
28.
29.
30.
31.
32.
33.
LinkedIn A
nalytics Team We’re Hiring
34.
35.
Backup slides
36.
Wikipedia Views ~
Google Searches “ Dwight Howard” on TrendingTopics “ Dwight Howard” on Google Trends
37.
Download now