Apache cassandra architecture internals
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A basic overview of Apache Cassandra and its features. When & why to chose Cassandra as a data store - its read write patterns.
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Automated Melanoma Detection via Image Processing.pptx
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Microsoft Excel: A Comprehensive Overview
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Process Mining at Deutsche Bank - Journey
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Understanding Complex Development Processes
Understanding Complex Development ProcessesProcess mining Evangelist The fifth talk at Process Mining Camp was given by Olga Gazina and Daniel Cathala from Euroclear. As a data analyst at the internal audit department Olga helped Daniel, IT Manager, to make his life at the end of the year a bit easier by using process mining to identify key risks.
She applied process mining to the process from development to release at the Component and Data Management IT division. It looks like a simple process at first, but Daniel explains that it becomes increasingly complex when considering that multiple configurations and versions are developed, tested and released. It becomes even more complex as the projects affecting these releases are running in parallel. And on top of that, each project often impacts multiple versions and releases.
After Olga obtained the data for this process, she quickly realized that she had many candidates for the caseID, timestamp and activity. She had to find a perspective of the process that was on the right level, so that it could be recognized by the process owners. In her talk she takes us through her journey step by step and shows the challenges she encountered in each iteration. In the end, she was able to find the visualization that was hidden in the minds of the business experts.
AI ------------------------------ W1L2.pptx
AI ------------------------------ W1L2.pptxAyeshaJalil6 This lecture provides a foundational understanding of Artificial Intelligence (AI), exploring its history, core concepts, and real-world applications. Students will learn about intelligent agents, machine learning, neural networks, natural language processing, and robotics. The lecture also covers ethical concerns and the future impact of AI on various industries. Designed for beginners, it uses simple language, engaging examples, and interactive discussions to make AI concepts accessible and exciting.
By the end of this lecture, students will have a clear understanding of what AI is, how it works, and where it's headed.
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录取通知书加拿大TMU毕业证多伦多都会大学电子版毕业证成绩单
录取通知书加拿大TMU毕业证多伦多都会大学电子版毕业证成绩单Taqyea 保密服务多伦多都会大学英文毕业证书影本加拿大成绩单多伦多都会大学文凭【q微1954292140】办理多伦多都会大学学位证(TMU毕业证书)成绩单VOID底纹防伪【q微1954292140】帮您解决在加拿大多伦多都会大学未毕业难题（Toronto Metropolitan University）文凭购买、毕业证购买、大学文凭购买、大学毕业证购买、买文凭、日韩文凭、英国大学文凭、美国大学文凭、澳洲大学文凭、加拿大大学文凭（q微1954292140）新加坡大学文凭、新西兰大学文凭、爱尔兰文凭、西班牙文凭、德国文凭、教育部认证，买毕业证，毕业证购买，买大学文凭，购买日韩毕业证、英国大学毕业证、美国大学毕业证、澳洲大学毕业证、加拿大大学毕业证（q微1954292140）新加坡大学毕业证、新西兰大学毕业证、爱尔兰毕业证、西班牙毕业证、德国毕业证，回国证明，留信网认证，留信认证办理，学历认证。从而完成就业。多伦多都会大学毕业证办理，多伦多都会大学文凭办理，多伦多都会大学成绩单办理和真实留信认证、留服认证、多伦多都会大学学历认证。学院文凭定制，多伦多都会大学原版文凭补办，扫描件文凭定做，100%文凭复刻。
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How to regulate and control your it-outsourcing provider with process mining
How to regulate and control your it-outsourcing provider with process miningProcess mining Evangelist Oliver Wildenstein is an IT process manager at MLP. As in many other IT departments, he works together with external companies who perform supporting IT processes for his organization. With process mining he found a way to monitor these outsourcing providers.
Rather than having to believe the self-reports from the provider, process mining gives him a controlling mechanism for the outsourced process. Because such analyses are usually not foreseen in the initial outsourcing contract, companies often have to pay extra to get access to the data for their own process.
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Patient data
indonesia-gen-z-report-2024 Gen Z (born between 1997 and 2012) is currently t...
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How to regulate and control your it-outsourcing provider with process mining
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Apache cassandra architecture internals
- 1. APACHE CASSANDRA Architecture & Internals B H U V A N R A W A L SNAPDEAL.COM
- 2. BHUVAN RAWAL CASSANDRA - AN OVERVIEW NOSQL-DATABASE.ORG > MASSIVELY SCALABLE > PARTITIONED ROW STORE > MASTERLESS ARCHITECTURE > LINEAR SCALABILITY > NO SINGLE POINT OF FAILURE > MULTIPLE DC SUPPORT OUT OF BOX
- 3. BHUVAN RAWAL CASSANDRA - AN OVERVIEW 2008 Open sourced by Facebook on Google Code, in 2009 became an Apache Incubator Project. In 2010 gained top level status at Apache.
- 4. Can be adapted for different class of use cases GENERALPURPOSE Can be available at the loss of Node/Rack/DC AVAILABLE BHUVAN RAWAL KEY FEATURES CASSANDRA - AN OVERVIEW Seamless distribution across datacentres across continents DISTRIBUTED
- 5. JVM Heap & GC Algorithms Compaction Strategy Key Cache Size Row Cache Compression Chunk Size Speculative Retries Throughput vs Latency tuning KEY TUNABLES BHUVAN RAWAL CASSANDRA - AN OVERVIEW
- 6. Cassandra is the most popular wide column store - Wikipedia Deployed by 400+ Fortune-500 Firms 667 Companies Verified on siftery Apple 100,000+ Node Deployment Netflix - 95% Data on Cassandra Uber - 20 Cassandra Clusters, soon will be 100 Spotify - 100+ Production Clusters SOME USERS BHUVAN RAWAL CASSANDRA - AN OVERVIEW
- 7. Determines how data is to be stored in nodes Should be same across the cluster Ordered Partitioner Random Partitioner Murmur3 Partitioner PARTITIONER BHUVAN RAWAL CASSANDRA - AN OVERVIEW
- 8. Determines node placement Allows to spread enough replicas to handle failures Failure Modes : Node -> Rack -> DC -> Region Tries its best to not have same replica in same rack SNITCH BHUVAN RAWAL CASSANDRA - AN OVERVIEW
- 9. status health tokens schema version data size phi_threshold GOSSIPPROTOCOL BHUVAN RAWAL CASSANDRA - AN OVERVIEW
- 10. As with most databases, data model is the key to successful deployments & scalability Test thoroughly on stage env Avoid Client Side joins as far as possible Materialized view - Boon for automated denormalization Tune Partition size to not affect cluster abnormally DATA MODEL WWW.AUGUSTA&CO.COM CASSANDRA - AN OVERVIEW
- 11. BHUVAN RAWAL TEAM Operations Manager CASSANDRA - AN OVERVIEW
- 12. BHUVAN RAWAL TEAM CEO / Director NANCYD.BROOKS Head Architect RICHARDB.BEVERIDGE Operations Manager JOHNV.POWELL CASSANDRA - AN OVERVIEW
- 13. WWW.AUGUSTA&CO.COM CASSANDRA - AN OVERVIEW Datastax Driver for Spark: -> Reads localized data off Cassandra Nodes -> Support for Hadoop -> Pig, Hive, Squoop, Mahout -> Solr integration ANALYTICS SUPPORT
- 14. B H U V A N R A W A L CASSANDRA - AN OVERVIEW -> Memtable -> SSTable - Sorted String -> Index -> Partition Summary -> Bloom Filter -> Compression STORAGE
- 15. BHUVAN RAWAL FELLOW DATASTORES HBASE RIAK MONGODB AEROSPIKE BIGTABLE SCYLLA CASSANDRA - AN OVERVIEW