دانلود دوره آموزشی O’Reilly Strata Data Conference – San Jose 2018

مباحث دوره آموزشی Strata Data Conference - San Jose 2018:

1. Keynotes
2. Data science and machine learning
3. Data Case Studies
4. Sponsored
5. Data engineering and architecture
6. Strata Business Summit
7. Streaming systems and real-time applications
8. Media and Ad Tech
9. Big data and data science in the cloud
10. Data-driven business management
11. Law, ethics, and governance
12. Visualization and user experience
13. Platform security & cybersecurity
14. Tutorials: Big data analytics and machine learning techniques to drive and grow business - Burcu Baran (LinkedIn), Wei Di (LinkedIn), Michael Li (LinkedIn), Chi-Yi Kuan (LinkedIn) - Part 1 00:46:50 Big data analytics and machine learning techniques to drive and grow business - Burcu Baran (LinkedIn), Wei Di (LinkedIn), Michael Li (LinkedIn), Chi-Yi Kuan (LinkedIn) - Part 2 00:41:34 Big data analytics and machine learning techniques to drive and grow business - Burcu Baran (LinkedIn), Wei Di (LinkedIn), Michael Li (LinkedIn), Chi-Yi Kuan (LinkedIn) - Part 3 00:23:47 Big data analytics and machine learning techniques to drive and grow business - Burcu Baran (LinkedIn), Wei Di (LinkedIn), Michael Li (LinkedIn), Chi-Yi Kuan (LinkedIn) - Part 4 00:47:11 Getting ready for GDPR: Securing and governing hybrid, cloud, and on-premises big data deployments - Mark Donsky (Cloudera), Andre Araujo (Cloudera), Syed Rafice (Cloudera), Mubashir Kazia (Cloudera) - Part 1 00:50:16 Getting ready for GDPR: Securing and governing hybrid, cloud, and on-premises big data deployments - Mark Donsky (Cloudera), Andre Araujo (Cloudera), Syed Rafice (Cloudera), Mubashir Kazia (Cloudera) - Part 2 00:40:18 Getting ready for GDPR: Securing and governing hybrid, cloud, and on-premises big data deployments - Mark Donsky (Cloudera), Andre Araujo (Cloudera), Syed Rafice (Cloudera), Mubashir Kazia (Cloudera) - Part 3 00:32:35 Getting ready for GDPR: Securing and governing hybrid, cloud, and on-premises big data deployments - Mark Donsky (Cloudera), Andre Araujo (Cloudera), Syed Rafice (Cloudera), Mubashir Kazia (Cloudera) - Part 4 00:52:44 Spark camp: Apache Spark 2.0 for analytics and text mining with Spark ML - Joseph Kambourakis (databricks) - Part 1 00:50:20 Spark camp: Apache Spark 2.0 for analytics and text mining with Spark ML - Joseph Kambourakis (databricks) - Part 2 00:45:35 Spark camp: Apache Spark 2.0 for analytics and text mining with Spark ML - Joseph Kambourakis (databricks) - Part 3 00:42:22 Spark camp: Apache Spark 2.0 for analytics and text mining with Spark ML - Joseph Kambourakis (databricks) - Part 4 00:56:50 Learning PyTorch by building a recommender system - Mo Patel (Independent), Neejole Patel (Virginia Tech) - Part 1 00:35:26 Learning PyTorch by building a recommender system - Mo Patel (Independent), Neejole Patel (Virginia Tech) - Part 2 00:47:54 Learning PyTorch by building a recommender system - Mo Patel (Independent), Neejole Patel (Virginia Tech) - Part 3 00:43:06 Learning PyTorch by building a recommender system - Mo Patel (Independent), Neejole Patel (Virginia Tech) - Part 4 00:45:50 Managing data science in the enterprise - Nick Elprin (Domino Data Lab) - Part 1 00:36:22 Managing data science in the enterprise - Nick Elprin (Domino Data Lab) - Part 2 00:40:28 Managing data science in the enterprise - Nick Elprin (Domino Data Lab) - Part 3 00:31:41 Managing data science in the enterprise - Nick Elprin (Domino Data Lab) - Part 4 00:30:27 How to use Impala's query plan and profile to fix performance issues - Juan Yu (Cloudera) - Part 1 00:48:59 How to use Impala's query plan and profile to fix performance issues - Juan Yu (Cloudera) - Part 2 00:43:24 How to use Impala's query plan and profile to fix performance issues - Juan Yu (Cloudera) - Part 3 00:54:16 How to use Impala's query plan and profile to fix performance issues - Juan Yu (Cloudera) - Part 4 00:34:24 Modern real-time streaming architectures - Karthik Ramasamy (Streamlio), Sanjeev Kulkarni (Streamlio), Sijie Guo (Streamlio), Arun Kejariwal (MZ) - Part 1 00:39:54 Modern real-time streaming architectures - Karthik Ramasamy (Streamlio), Sanjeev Kulkarni (Streamlio), Sijie Guo (Streamlio), Arun Kejariwal (MZ) - Part 2 00:43:00 Modern real-time streaming architectures - Karthik Ramasamy (Streamlio), Sanjeev Kulkarni (Streamlio), Sijie Guo (Streamlio), Arun Kejariwal (MZ) - Part 3 00:49:00 Modern real-time streaming architectures - Karthik Ramasamy (Streamlio), Sanjeev Kulkarni (Streamlio), Sijie Guo (Streamlio), Arun Kejariwal (MZ) - Part 4 00:44:29 Using R and Python for scalable data science, machine learning, and AI - Mario Inchiosa, Vanja Paunic, Robert Horton, Debraj GuhaThakurta, Ali Zaidi, Tomas Singliar, and John-Mark Agosta (Microsoft) - Part 1 00:39:55 Using R and Python for scalable data science, machine learning, and AI - Mario Inchiosa, Vanja Paunic, Robert Horton, Debraj GuhaThakurta, Ali Zaidi, Tomas Singliar, John-Mark Agosta (Microsoft) - Part 2 00:43:20 Using R and Python for scalable data science, machine learning, and AI - Mario Inchiosa, Vanja Paunic, Robert Horton, Debraj GuhaThakurta, Ali Zaidi, Tomas Singliar, and John-Mark Agosta (Microsoft) - Part 3 00:48:08 Using R and Python for scalable data science, machine learning, and AI - Mario Inchiosa, Vanja Paunic, Robert Horton, Debraj GuhaThakurta, Ali Zaidi, Tomas Singliar, and John-Mark Agosta (Microsoft) - Part 4 00:41:39 Streaming applications as microservices using Kafka, Akka Streams, and Kafka Streams - Dean Wampler (Lightbend), Boris Lublinsky (Lightbend) - Part 1 00:42:13 Streaming applications as microservices using Kafka, Akka Streams, and Kafka Streams - Dean Wampler (Lightbend), Boris Lublinsky (Lightbend) - Part 2 00:45:04 Streaming applications as microservices using Kafka, Akka Streams, and Kafka Streams - Dean Wampler (Lightbend), Boris Lublinsky (Lightbend) - Part 3 00:40:49 Streaming applications as microservices using Kafka, Akka Streams, and Kafka Streams - Dean Wampler (Lightbend), Boris Lublinsky (Lightbend) - Part 4 00:37:02 Deep learning-based search and recommendation systems using TensorFlow - Abhishek Kumar (SapientRazorfish), Dr. Vijay Srinivas Agneeswaran (SapientRazorfish) - Part 1 00:42:09 Deep learning-based search and recommendation systems using TensorFlow - Abhishek Kumar (SapientRazorfish), Dr. Vijay Srinivas Agneeswaran (SapientRazorfish) - Part 2 00:47:23 Deep learning-based search and recommendation systems using TensorFlow - Abhishek Kumar (SapientRazorfish), Dr. Vijay Srinivas Agneeswaran (SapientRazorfish) - Part 3 00:46:31 Deep learning-based search and recommendation systems using TensorFlow - Abhishek Kumar (SapientRazorfish), Dr. Vijay Srinivas Agneeswaran (SapientRazorfish) - Part 4 00:45:24 Natural language understanding at scale with spaCy and Spark NLP - David Talby (Pacific AI), Claudiu Branzan (G2 Web Services), Alexander Thomas (Indeed) - Part 1 00:23:26 Natural language understanding at scale with spaCy and Spark NLP - David Talby (Pacific AI), Claudiu Branzan (G2 Web Services), Alexander Thomas (Indeed) - Part 2 1:01:33 Natural language understanding at scale with spaCy and Spark NLP - David Talby (Pacific AI), Claudiu Branzan (G2 Web Services), Alexander Thomas (Indeed) - Part 3 00:53:12 Natural language understanding at scale with spaCy and Spark NLP - David Talby (Pacific AI), Claudiu Branzan (G2 Web Services), Alexander Thomas (Indeed) - Part 4 00:37:22 Time series data: Architecture and use cases - Ted Malaska (Blizzard Entertainment) - Part 1 00:39:20 Time series data: Architecture and use cases - Ted Malaska (Blizzard Entertainment) - Part 2 00:51:19 Time series data: Architecture and use cases - Ted Malaska (Blizzard Entertainment) - Part 3 00:45:55 Time series data: Architecture and use cases - Ted Malaska (Blizzard Entertainment) - Part 4 00:35:31