SlideShare una empresa de Scribd logo
1 de 38
Cassandra 0.7
Features
• Live schema modification
• Secondary indexes
• Hadoop OutputFormat
• (Very) large rows
 •   up to 2 billion columns

• NetworkTopologyStrategy
Operations

• efficient Streaming
• Per-ColumnFamily settings of memtable
  thresholds
• Much more (optional) metadata about
  columns
Operations backports
•   HH disable (0.6.2)

•   compaction priority (0.6.3)

•   HH hourly scan (0.6.3)

•   JMX metrics for row-level bloom filters (0.6.3)

•   Flow control (0.6.4, 5)

•   HH paging (0.6.5)

•   Dynamic snitch (0.6.5)

•   Tombstone removal in minor compaction (0.6.6)
Compatiblity

• Fully backwards-compatible with 0.6 data
• Some Thrift API changes
  •   String row keys become byte[]

  •   keyspace is set once per connection

• Requires drain + cluster restart
Features
Live schema changes


• Details: http://www.riptano.com/blog/live-
  schema-updates-cassandra-07
Data model tradeoffs


• Twitter: “Fifteen months ago, it took two
  weeks to perform ALTER TABLE on the
  statuses [tweets] table.”
A static ColumnFamily
A dynamic ColumnFamily
SELECT * FROM tweets
WHERE user_id IN (SELECT follower FROM followers WHERE user_id = ?)




     followers                                     timeline
                                         ?

 ?


                tweets
SuperColumns = full denormalization
A little deeper


• http://twissandra.com
• http://github.com/jhermes/twissjava
Secondary indexes
A static ColumnFamily
demo time
Hadoop OutputFormat
job.setOutputFormatClass(ColumnFamilyOutputFormat.class);
ConfigHelper.setOutputColumnFamily(job.getConfiguration(), KS, CF);
...
public void reduce(Text word, Iterable<IntWritable> values, Context
context)
{
    int sum = 0;
    for (IntWritable val : values)
         sum += val.get();
    context.write(outputKey,
Collections.singletonList(getMutation(word, sum)));
}
Large rows


• 0.6: smaller of {2GB, memory limit}
• 0.7: 2 billion columns
  •   in_memory_compaction_limit_in_mb
NetworkTopologyStrategy

• RackAwareStrategy is tuned for 3 replicas
  and 2 data centers
 •   renamed to OldNetworkTopologyStrategy

• NTS allows configuring replicas per data
  center, per Keyspace
 •   ignores replication_factor directive
Operations
Efficient Streaming
W           A




                    F
        (A-L]


T

                L
W           A




                     F
        (A-F]


                    (A-F]
T
        (F-L]
                L
W            A




                     F


        Data
T

                 L
        Index
        Filter
W            A




                     F



T

                 L
        Index
        Filter
Per-CF memtable thresholds



• Easier tuning for large numbers of ColumnFamilies
Column Metadata


• 0.6: comparator, subcomparator
• 0.7: default_validation_class,
  column_metadata
Native code

• JNA introduced in 0.6.5 for mlockall
• Extended to hard links in 0.6.6 for
  snapshots
• 0.7.1: posix_fadvise / fcntl for writes
Flow Control (0.6.4)
• Replica nodes drop hopeless requests on
  the floor
  •   Coordinator node is unaffected

  •   TimedOutException signals client to back off

  •   Requires enough memory to buffer
      RPCTimeout’s worth of requests

• (In the short term, you’re still screwed)
Flow control in 0.5


• Why backpressure doesn’t fit Cassandra
Dynamic snitch

public void sortByProximity(List<InetAddress> addresses);
Everything else
0.7 performance
• Reads roughly 100% faster, thanks largely to
  removing String creation
• Row-cached reads up to 8x faster after
  optimizations by tjake and jbellis
• Optimizations for reads of large rows
• 0.7.1: even more speed (fix nagle + delayed
  acks, zero-copy reads, ...)
Thrift: the libpq of Cassandra



• OOMs on malformed packets
• Python Unicode string issues
• PHP support is buggy and maintainerless
Client support from Riptano

• Hector
 •   Building JPA/JDO layer on top

• pycassa
• phpcassa
• Soon: cassandra gem
After 0.7.0

• Distributed counters
• IndexOperator.GT
• Entity groups
• 1.0?
Bay area Cassandra Meetup 2011

Más contenido relacionado

La actualidad más candente

Cassandra 3.0 - JSON at scale - StampedeCon 2015
Cassandra 3.0 - JSON at scale - StampedeCon 2015Cassandra 3.0 - JSON at scale - StampedeCon 2015
Cassandra 3.0 - JSON at scale - StampedeCon 2015StampedeCon
 
Learning Cassandra
Learning CassandraLearning Cassandra
Learning CassandraDave Gardner
 
MariaDB Cassandra Interoperability
MariaDB Cassandra InteroperabilityMariaDB Cassandra Interoperability
MariaDB Cassandra InteroperabilityColin Charles
 
Cassandra Day Atlanta 2015: Introduction to Apache Cassandra & DataStax Enter...
Cassandra Day Atlanta 2015: Introduction to Apache Cassandra & DataStax Enter...Cassandra Day Atlanta 2015: Introduction to Apache Cassandra & DataStax Enter...
Cassandra Day Atlanta 2015: Introduction to Apache Cassandra & DataStax Enter...DataStax Academy
 
MariaDB and Cassandra Interoperability
MariaDB and Cassandra InteroperabilityMariaDB and Cassandra Interoperability
MariaDB and Cassandra InteroperabilityColin Charles
 
Bulk Loading into Cassandra
Bulk Loading into CassandraBulk Loading into Cassandra
Bulk Loading into CassandraBrian Hess
 
Cassandra and Rails at LA NoSQL Meetup
Cassandra and Rails at LA NoSQL MeetupCassandra and Rails at LA NoSQL Meetup
Cassandra and Rails at LA NoSQL MeetupMichael Wynholds
 
Cassandra Materialized Views
Cassandra Materialized ViewsCassandra Materialized Views
Cassandra Materialized ViewsCarl Yeksigian
 
ETL With Cassandra Streaming Bulk Loading
ETL With Cassandra Streaming Bulk LoadingETL With Cassandra Streaming Bulk Loading
ETL With Cassandra Streaming Bulk Loadingalex_araujo
 
Building Distributed Systems in Scala
Building Distributed Systems in ScalaBuilding Distributed Systems in Scala
Building Distributed Systems in ScalaAlex Payne
 
Scaling web applications with cassandra presentation
Scaling web applications with cassandra presentationScaling web applications with cassandra presentation
Scaling web applications with cassandra presentationMurat Çakal
 
Introduction to NoSQL & Apache Cassandra
Introduction to NoSQL & Apache CassandraIntroduction to NoSQL & Apache Cassandra
Introduction to NoSQL & Apache CassandraChetan Baheti
 
Introduction to Real-Time Analytics with Cassandra and Hadoop
Introduction to Real-Time Analytics with Cassandra and HadoopIntroduction to Real-Time Analytics with Cassandra and Hadoop
Introduction to Real-Time Analytics with Cassandra and HadoopPatricia Gorla
 
Cassandra Community Webinar: Back to Basics with CQL3
Cassandra Community Webinar: Back to Basics with CQL3Cassandra Community Webinar: Back to Basics with CQL3
Cassandra Community Webinar: Back to Basics with CQL3DataStax
 
MongoSF - mongodb @ foursquare
MongoSF - mongodb @ foursquareMongoSF - mongodb @ foursquare
MongoSF - mongodb @ foursquarejorgeortiz85
 
Cassandra Presentation for San Antonio JUG
Cassandra Presentation for San Antonio JUGCassandra Presentation for San Antonio JUG
Cassandra Presentation for San Antonio JUGgdusbabek
 
Cassandra Summit 2014: Reading Cassandra SSTables Directly for Offline Data A...
Cassandra Summit 2014: Reading Cassandra SSTables Directly for Offline Data A...Cassandra Summit 2014: Reading Cassandra SSTables Directly for Offline Data A...
Cassandra Summit 2014: Reading Cassandra SSTables Directly for Offline Data A...DataStax Academy
 
Hadoop + Cassandra: Fast queries on data lakes, and wikipedia search tutorial.
Hadoop + Cassandra: Fast queries on data lakes, and  wikipedia search tutorial.Hadoop + Cassandra: Fast queries on data lakes, and  wikipedia search tutorial.
Hadoop + Cassandra: Fast queries on data lakes, and wikipedia search tutorial.Natalino Busa
 

La actualidad más candente (20)

Cassandra 3.0 - JSON at scale - StampedeCon 2015
Cassandra 3.0 - JSON at scale - StampedeCon 2015Cassandra 3.0 - JSON at scale - StampedeCon 2015
Cassandra 3.0 - JSON at scale - StampedeCon 2015
 
Learning Cassandra
Learning CassandraLearning Cassandra
Learning Cassandra
 
MariaDB Cassandra Interoperability
MariaDB Cassandra InteroperabilityMariaDB Cassandra Interoperability
MariaDB Cassandra Interoperability
 
Cassandra Day Atlanta 2015: Introduction to Apache Cassandra & DataStax Enter...
Cassandra Day Atlanta 2015: Introduction to Apache Cassandra & DataStax Enter...Cassandra Day Atlanta 2015: Introduction to Apache Cassandra & DataStax Enter...
Cassandra Day Atlanta 2015: Introduction to Apache Cassandra & DataStax Enter...
 
MariaDB and Cassandra Interoperability
MariaDB and Cassandra InteroperabilityMariaDB and Cassandra Interoperability
MariaDB and Cassandra Interoperability
 
Bulk Loading into Cassandra
Bulk Loading into CassandraBulk Loading into Cassandra
Bulk Loading into Cassandra
 
Cassandra and Rails at LA NoSQL Meetup
Cassandra and Rails at LA NoSQL MeetupCassandra and Rails at LA NoSQL Meetup
Cassandra and Rails at LA NoSQL Meetup
 
Cassandra Materialized Views
Cassandra Materialized ViewsCassandra Materialized Views
Cassandra Materialized Views
 
NoSQL & HBase overview
NoSQL & HBase overviewNoSQL & HBase overview
NoSQL & HBase overview
 
ETL With Cassandra Streaming Bulk Loading
ETL With Cassandra Streaming Bulk LoadingETL With Cassandra Streaming Bulk Loading
ETL With Cassandra Streaming Bulk Loading
 
Building Distributed Systems in Scala
Building Distributed Systems in ScalaBuilding Distributed Systems in Scala
Building Distributed Systems in Scala
 
Scaling web applications with cassandra presentation
Scaling web applications with cassandra presentationScaling web applications with cassandra presentation
Scaling web applications with cassandra presentation
 
Introduction to NoSQL & Apache Cassandra
Introduction to NoSQL & Apache CassandraIntroduction to NoSQL & Apache Cassandra
Introduction to NoSQL & Apache Cassandra
 
Introduction to Real-Time Analytics with Cassandra and Hadoop
Introduction to Real-Time Analytics with Cassandra and HadoopIntroduction to Real-Time Analytics with Cassandra and Hadoop
Introduction to Real-Time Analytics with Cassandra and Hadoop
 
Cassandra Community Webinar: Back to Basics with CQL3
Cassandra Community Webinar: Back to Basics with CQL3Cassandra Community Webinar: Back to Basics with CQL3
Cassandra Community Webinar: Back to Basics with CQL3
 
MongoSF - mongodb @ foursquare
MongoSF - mongodb @ foursquareMongoSF - mongodb @ foursquare
MongoSF - mongodb @ foursquare
 
Cassandra NoSQL
Cassandra NoSQLCassandra NoSQL
Cassandra NoSQL
 
Cassandra Presentation for San Antonio JUG
Cassandra Presentation for San Antonio JUGCassandra Presentation for San Antonio JUG
Cassandra Presentation for San Antonio JUG
 
Cassandra Summit 2014: Reading Cassandra SSTables Directly for Offline Data A...
Cassandra Summit 2014: Reading Cassandra SSTables Directly for Offline Data A...Cassandra Summit 2014: Reading Cassandra SSTables Directly for Offline Data A...
Cassandra Summit 2014: Reading Cassandra SSTables Directly for Offline Data A...
 
Hadoop + Cassandra: Fast queries on data lakes, and wikipedia search tutorial.
Hadoop + Cassandra: Fast queries on data lakes, and  wikipedia search tutorial.Hadoop + Cassandra: Fast queries on data lakes, and  wikipedia search tutorial.
Hadoop + Cassandra: Fast queries on data lakes, and wikipedia search tutorial.
 

Similar a Bay area Cassandra Meetup 2011

SQL Server 2014 In-Memory OLTP
SQL Server 2014 In-Memory OLTPSQL Server 2014 In-Memory OLTP
SQL Server 2014 In-Memory OLTPTony Rogerson
 
AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)
AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)
AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)Amazon Web Services
 
Chicago Kafka Meetup
Chicago Kafka MeetupChicago Kafka Meetup
Chicago Kafka MeetupCliff Gilmore
 
hbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at Alibaba
hbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at Alibabahbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at Alibaba
hbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at AlibabaMichael Stack
 
Java user group 2015 02-09-java8
Java user group 2015 02-09-java8Java user group 2015 02-09-java8
Java user group 2015 02-09-java8marctritschler
 
Java user group 2015 02-09-java8
Java user group 2015 02-09-java8Java user group 2015 02-09-java8
Java user group 2015 02-09-java8Marc Tritschler
 
Rails on HBase
Rails on HBaseRails on HBase
Rails on HBaseEffective
 
Performance Tuning RocksDB for Kafka Streams' State Stores (Dhruba Borthakur,...
Performance Tuning RocksDB for Kafka Streams' State Stores (Dhruba Borthakur,...Performance Tuning RocksDB for Kafka Streams' State Stores (Dhruba Borthakur,...
Performance Tuning RocksDB for Kafka Streams' State Stores (Dhruba Borthakur,...confluent
 
How does Apache Pegasus (incubating) community develop at SensorsData
How does Apache Pegasus (incubating) community develop at SensorsDataHow does Apache Pegasus (incubating) community develop at SensorsData
How does Apache Pegasus (incubating) community develop at SensorsDataacelyc1112009
 
Performance Optimizations in Apache Impala
Performance Optimizations in Apache ImpalaPerformance Optimizations in Apache Impala
Performance Optimizations in Apache ImpalaCloudera, Inc.
 
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]Speedment, Inc.
 
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]Malin Weiss
 
London + Dublin Cassandra 2.0
London + Dublin Cassandra 2.0London + Dublin Cassandra 2.0
London + Dublin Cassandra 2.0jbellis
 
MariaDB ColumnStore
MariaDB ColumnStoreMariaDB ColumnStore
MariaDB ColumnStoreMariaDB plc
 
Базы данных. HBase
Базы данных. HBaseБазы данных. HBase
Базы данных. HBaseVadim Tsesko
 
The Evolution of a Relational Database Layer over HBase
The Evolution of a Relational Database Layer over HBaseThe Evolution of a Relational Database Layer over HBase
The Evolution of a Relational Database Layer over HBaseDataWorks Summit
 
Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...SignalFx
 

Similar a Bay area Cassandra Meetup 2011 (20)

SQL Server 2014 In-Memory OLTP
SQL Server 2014 In-Memory OLTPSQL Server 2014 In-Memory OLTP
SQL Server 2014 In-Memory OLTP
 
AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)
AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)
AWS re:Invent 2016: Streaming ETL for RDS and DynamoDB (DAT315)
 
Chicago Kafka Meetup
Chicago Kafka MeetupChicago Kafka Meetup
Chicago Kafka Meetup
 
hbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at Alibaba
hbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at Alibabahbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at Alibaba
hbaseconasia2019 Phoenix Improvements and Practices on Cloud HBase at Alibaba
 
Java user group 2015 02-09-java8
Java user group 2015 02-09-java8Java user group 2015 02-09-java8
Java user group 2015 02-09-java8
 
Java user group 2015 02-09-java8
Java user group 2015 02-09-java8Java user group 2015 02-09-java8
Java user group 2015 02-09-java8
 
Rails on HBase
Rails on HBaseRails on HBase
Rails on HBase
 
Rails on HBase
Rails on HBaseRails on HBase
Rails on HBase
 
Rails on HBase
Rails on HBaseRails on HBase
Rails on HBase
 
Performance Tuning RocksDB for Kafka Streams' State Stores (Dhruba Borthakur,...
Performance Tuning RocksDB for Kafka Streams' State Stores (Dhruba Borthakur,...Performance Tuning RocksDB for Kafka Streams' State Stores (Dhruba Borthakur,...
Performance Tuning RocksDB for Kafka Streams' State Stores (Dhruba Borthakur,...
 
How does Apache Pegasus (incubating) community develop at SensorsData
How does Apache Pegasus (incubating) community develop at SensorsDataHow does Apache Pegasus (incubating) community develop at SensorsData
How does Apache Pegasus (incubating) community develop at SensorsData
 
Performance Optimizations in Apache Impala
Performance Optimizations in Apache ImpalaPerformance Optimizations in Apache Impala
Performance Optimizations in Apache Impala
 
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
 
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
JavaOne2016 - Microservices: Terabytes in Microseconds [CON4516]
 
London + Dublin Cassandra 2.0
London + Dublin Cassandra 2.0London + Dublin Cassandra 2.0
London + Dublin Cassandra 2.0
 
L6.sp17.pptx
L6.sp17.pptxL6.sp17.pptx
L6.sp17.pptx
 
MariaDB ColumnStore
MariaDB ColumnStoreMariaDB ColumnStore
MariaDB ColumnStore
 
Базы данных. HBase
Базы данных. HBaseБазы данных. HBase
Базы данных. HBase
 
The Evolution of a Relational Database Layer over HBase
The Evolution of a Relational Database Layer over HBaseThe Evolution of a Relational Database Layer over HBase
The Evolution of a Relational Database Layer over HBase
 
Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...Scaling ingest pipelines with high performance computing principles - Rajiv K...
Scaling ingest pipelines with high performance computing principles - Rajiv K...
 

Último

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘RTylerCroy
 
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
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 

Último (20)

Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
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
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 

Bay area Cassandra Meetup 2011

Notas del editor

  1. \n
  2. \n
  3. \n
  4. \n
  5. \n
  6. \n
  7. \n
  8. \n
  9. \n
  10. \n
  11. \n
  12. \n
  13. \n
  14. \n
  15. \n
  16. \n
  17. \n
  18. \n
  19. \n
  20. \n
  21. \n
  22. \n
  23. \n
  24. \n
  25. \n
  26. \n
  27. \n
  28. \n
  29. \n
  30. \n
  31. \n
  32. \n
  33. \n
  34. \n
  35. \n
  36. \n
  37. \n
  38. \n