Big Data Big Data Emerging Data Sources Traditional
Что такое Big Data? “Big Data "представляет собой информационные активы, чей большой объем, высокая скорость и высокий изменяемость требуют использования новых технических архитектур и аналитических методов для получения информации и получения ценности бизнеса Emerging Data Sources Traditional Data Sources Social Networks Public Records Твои мысли? Internet of Things Structured Data Location Data Unstructured Data 80% to 90% of data is unstructured © Copyright 2016 EMC Corporation. All rights reserved. Module 11: Protecting Big Data and Mobile Device Data 3
Check Your Knowledge Что отвечает за управление пространством имен FS и контролем доступа к файлам клиентами в среде HDFS? A. Data Node B. Slave Node C. Name Node D. Database Node © Copyright 2016 EMC Corporation. All rights reserved. Module 11: Protecting Big Data and Mobile Device Data 13
Основные решения защиты данных Data Lake © Copyright 2016 EMC Corporation. All rights reserved. Backup and Deduplication Replication Mirroring and Erasure Coding Cloud-based Protection Module 11: Protecting Big Data and Mobile Device Data 16
Big Data as a Service • Поставщик услуг предлагает ресурсы, позволяющие потребителям выполнять большую нагрузку на аналитику данных в облаке Big Data as a Service Models Big Data Infrastructure as a Service © Copyright 2016 EMC Corporation. All rights reserved. Big Data Analytics Platform as a Service Software as a Service Module 11: Protecting Big Data and Mobile Device Data 21
Check Your Knowledge Какая утилита является родной, встроенной в HDFS для резервного копирования и восстановления данных из озер данных на резервное устройство? A. HDFS Mirroring B. Hadoop Distributed Copy C. Erasure Coding D. Hadoop Data Copy © Copyright 2016 EMC Corporation. All rights reserved. Module 11: Protecting Big Data and Mobile Device Data 23
Преимущества Cloud-based Backup for Mobile Devices Comprehensive Business Continuity and Accessibility Increased Backup Consistency Key Benefits Lower Capital Cost Reduced Management Complexity © Copyright 2016 EMC Corporation. All rights reserved. Module 11: Protecting Big Data and Mobile Device Data 31
Concepts in Practice • Pivotal Gem. Fire • Pivotal Greenplum © Copyright 2016 EMC Corporation. All rights reserved. Module 11: Protecting Big Data and Mobile Device Data 33
Pivotal Gem. Fire and Pivotal Greenplum Gem. Fire • In-memory distributed database for high-scale No. SQL applications - Provides low latency data access to applications at massive scale - Supports real-time analytics • Automatic data distribution across the cluster • Support for multiple programming languages © Copyright 2016 EMC Corporation. All rights reserved. Greenplum • Complete SMAQ solution for business intelligence and analytics • Massive linear scalability and parallel processing - Automatic workload parallelization and data distribution across the cluster • Support for SQL, Hadoop, Map. Reduce, and programmable analytics Module 11: Protecting Big Data and Mobile Device Data 34
Module 11: Summary Key points covered in this module: • Characteristics of big data • Big data analytics • Key data protection solutions for data lake • Big Data as a Service • Mobile device backup • Cloud-based mobile device data protection © Copyright 2016 EMC Corporation. All rights reserved. Module 11: Protecting Big Data and Mobile Device Data 35
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