The Quadcept V10 release note summarizes new features in the software update. Key additions include:
1) Projects now use a file-based structure for less data size and smoother experience. Project data is separated from the database and managed as individual files.
2) A new "master-db" allows sharing libraries read-only across a team. Components can now be placed directly from online search results as well.
3) File locking prevents accidental editing of projects and libraries simultaneously. Project searching and maintenance tools were also enhanced.
Die 10 besten PostgreSQL-Replikationsstrategien für Ihr UnternehmenEDB
Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsansätzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich über die Möglichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich für Ihr System benötigen.
- Wie physische und logische Replikation in PostgreSQL funktionieren
- Unterschiede zwischen synchroner und asynchroner Replikation
- Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation
- Welche Replikationsstrategie für unterschiedliche Use-Cases besser geeignet ist
Referent:
Borys Neselovskyi, Regional Sales Engineer DACH, EDB
------------------------------------------------------------
For more #webinars, visit http://bit.ly/EDB-Webinars
Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers
Read our #Postgres Blog http://bit.ly/EDB-Blogs
Follow us on Facebook at http://bit.ly/EDB-FB
Follow us on Twitter at http://bit.ly/EDB-Twitter
Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn
Reach us via email at marketing@enterprisedb.com
Apache Spark is a fast, general-purpose, and easy-to-use cluster computing system for large-scale data processing. It provides APIs in Scala, Java, Python, and R. Spark is versatile and can run on YARN/HDFS, standalone, or Mesos. It leverages in-memory computing to be faster than Hadoop MapReduce. Resilient Distributed Datasets (RDDs) are Spark's abstraction for distributed data. RDDs support transformations like map and filter, which are lazily evaluated, and actions like count and collect, which trigger computation. Caching RDDs in memory improves performance of subsequent jobs on the same data.
Compaction and Splitting in Apache AccumuloHortonworks
The document discusses compaction and splitting in Apache Accumulo distributed key-value stores. It explains that Accumulo tables are divided into non-overlapping ranges called tablets, and that compaction merges sorted files within a tablet into a single file to improve read performance. Splitting divides large tablets into two in order to balance workload. The document provides details on Accumulo's and HBase's compaction algorithms and how they determine when to compact and split tablets.
The term "Data Lake" has become almost as overused and undescriptive as "Big Data". Many believe that centralizing datasets in HDFS makes a data lake, but then they struggle to realize any tangible value. This talk will redefine the "Data Lake" by describing four specific, key characteristics that we at Koverse have learned are crucial to successful enterprise data lake deployments. These characteristics are 1) indexing and search across all data sets, 2) interactive access for all users in the enterprise, 3) multi-level access control, and 4) integration with data science tools. These characteristics define a system that lets people realize value from their data versus getting lost in the hype. The talk will go on to provide a technical description of how we have integrated several projects, namely Apache Accumulo, Hadoop, and Spark, to implement an enterprise data lake with these key features.
Exploring Oracle Database 12c Multitenant best practices for your Clouddyahalom
The document discusses best practices for Oracle Database 12c Multitenant architecture. It begins by introducing the speaker and their company Brillix-DBAces. It then provides an overview of the Multitenant Container Database architecture in 12c, including the root and pluggable database containers, common vs local users/roles/privileges, and tools for working with Container Databases like SQL*Plus, DBCA, and Enterprise Manager.
This document discusses MongoDB sharding which involves horizontally scaling MongoDB across multiple machines or shards. It describes the components of a sharded MongoDB cluster including shards, config servers, and mongos query routers. It provides examples of when and why sharding would be used such as for large datasets, high throughput, hardware limitations, storage engine limitations, isolating failures, and separating hot and cold data. The document then outlines steps to set up a basic two node sharded cluster with one shard, three config servers, and mongos query routers on the same two machines.
This document summarizes lessons learned from migrating a Department of Defense application to Oracle Exadata. Key points include:
1) Exadata provided significantly better performance than the legacy configuration for data exports, maintenance processes, and reporting.
2) Thorough testing is required due to Exadata's unique architecture and configuration best practices.
3) Communication with the hosting center is important to ensure they can support Exadata's size and power requirements.
4) Smart scan and other Exadata optimizations like enhanced hybrid columnar compression provide substantial performance benefits if properly configured.
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
Die 10 besten PostgreSQL-Replikationsstrategien für Ihr UnternehmenEDB
Dieses Webinar hilft Ihnen, die Unterschiede zwischen den verschiedenen Replikationsansätzen zu verstehen, die Anforderungen der jeweiligen Strategie zu erkennen und sich über die Möglichkeiten klar zu werden, was mit jeder einzelnen zu erreichen ist. Damit werden Sie hoffentlich eher in der Lage sein, herauszufinden, welche PostgreSQL-Replikationsarten Sie wirklich für Ihr System benötigen.
- Wie physische und logische Replikation in PostgreSQL funktionieren
- Unterschiede zwischen synchroner und asynchroner Replikation
- Vorteile, Nachteile und Herausforderungen bei der Multi-Master-Replikation
- Welche Replikationsstrategie für unterschiedliche Use-Cases besser geeignet ist
Referent:
Borys Neselovskyi, Regional Sales Engineer DACH, EDB
------------------------------------------------------------
For more #webinars, visit http://bit.ly/EDB-Webinars
Download free #PostgreSQL whitepapers: http://bit.ly/EDB-Whitepapers
Read our #Postgres Blog http://bit.ly/EDB-Blogs
Follow us on Facebook at http://bit.ly/EDB-FB
Follow us on Twitter at http://bit.ly/EDB-Twitter
Follow us on LinkedIn at http://bit.ly/EDB-LinkedIn
Reach us via email at marketing@enterprisedb.com
Apache Spark is a fast, general-purpose, and easy-to-use cluster computing system for large-scale data processing. It provides APIs in Scala, Java, Python, and R. Spark is versatile and can run on YARN/HDFS, standalone, or Mesos. It leverages in-memory computing to be faster than Hadoop MapReduce. Resilient Distributed Datasets (RDDs) are Spark's abstraction for distributed data. RDDs support transformations like map and filter, which are lazily evaluated, and actions like count and collect, which trigger computation. Caching RDDs in memory improves performance of subsequent jobs on the same data.
Compaction and Splitting in Apache AccumuloHortonworks
The document discusses compaction and splitting in Apache Accumulo distributed key-value stores. It explains that Accumulo tables are divided into non-overlapping ranges called tablets, and that compaction merges sorted files within a tablet into a single file to improve read performance. Splitting divides large tablets into two in order to balance workload. The document provides details on Accumulo's and HBase's compaction algorithms and how they determine when to compact and split tablets.
The term "Data Lake" has become almost as overused and undescriptive as "Big Data". Many believe that centralizing datasets in HDFS makes a data lake, but then they struggle to realize any tangible value. This talk will redefine the "Data Lake" by describing four specific, key characteristics that we at Koverse have learned are crucial to successful enterprise data lake deployments. These characteristics are 1) indexing and search across all data sets, 2) interactive access for all users in the enterprise, 3) multi-level access control, and 4) integration with data science tools. These characteristics define a system that lets people realize value from their data versus getting lost in the hype. The talk will go on to provide a technical description of how we have integrated several projects, namely Apache Accumulo, Hadoop, and Spark, to implement an enterprise data lake with these key features.
Exploring Oracle Database 12c Multitenant best practices for your Clouddyahalom
The document discusses best practices for Oracle Database 12c Multitenant architecture. It begins by introducing the speaker and their company Brillix-DBAces. It then provides an overview of the Multitenant Container Database architecture in 12c, including the root and pluggable database containers, common vs local users/roles/privileges, and tools for working with Container Databases like SQL*Plus, DBCA, and Enterprise Manager.
This document discusses MongoDB sharding which involves horizontally scaling MongoDB across multiple machines or shards. It describes the components of a sharded MongoDB cluster including shards, config servers, and mongos query routers. It provides examples of when and why sharding would be used such as for large datasets, high throughput, hardware limitations, storage engine limitations, isolating failures, and separating hot and cold data. The document then outlines steps to set up a basic two node sharded cluster with one shard, three config servers, and mongos query routers on the same two machines.
This document summarizes lessons learned from migrating a Department of Defense application to Oracle Exadata. Key points include:
1) Exadata provided significantly better performance than the legacy configuration for data exports, maintenance processes, and reporting.
2) Thorough testing is required due to Exadata's unique architecture and configuration best practices.
3) Communication with the hosting center is important to ensure they can support Exadata's size and power requirements.
4) Smart scan and other Exadata optimizations like enhanced hybrid columnar compression provide substantial performance benefits if properly configured.
Cloud Migration Paths: Kubernetes, IaaS, or DBaaSEDB
Moving to the cloud is hard, and moving Postgres databases to the cloud is even harder. Public cloud or private cloud? Infrastructure as a Service (IaaS), or Platform as a Service (PaaS)? Kubernetes for the application, or for the database and the application? This talk will juxtapose self-managed Kubernetes and container-based database solutions, Postgres deployments on IaaS, and Postgres DBaaS solutions of which EDB’s DBaaS BigAnimal is the latest example.
The document discusses Oracle 12c's multitenant architecture which introduces the concepts of a container database (CDB) and pluggable databases (PDBs). A CDB can host multiple PDBs that appear as independent databases but share resources. PDBs can be unplugged from one CDB and plugged into another, allowing for quick provisioning and cloning of databases. The multitenant architecture provides benefits like consolidation of databases, rapid provisioning and cloning using SQL, and easier patching and upgrades.
Beginner's Guide to High Availability for Postgres EDB
Highly available databases are essential to organizations depending on mission-critical, 24/7 access to data. PostgreSQL is widely recognized as an excellent open-source database, with critical maturity and features that allow organizations to scale and achieve high availability.
This presentation will discuss best practices for designing and building a solid, robust and flexible Hadoop platform on an enterprise virtual infrastructure. Attendees will learn the flexibility and operational advantages of Virtual Machines such as fast provisioning, cloning, high levels of standardization, hybrid storage, vMotioning, increased stabilization of the entire software stack, High Availability and Fault Tolerance. This is a can`t miss presentation for anyone wanting to understand design, configuration and deployment of Hadoop in virtual infrastructures.
Part of the core Hadoop project, YARN is the architectural center of Hadoop that allows multiple data processing engines such as interactive SQL, real-time streaming, data science and batch processing to handle data stored in a single platform, unlocking an entirely new approach to analytics. It is the foundation of the new generation of Hadoop and is enabling organizations everywhere to realize a Modern Data Architecture.
Start Counting: How We Unlocked Platform Efficiency and Reliability While Sav...VMware Tanzu
The document describes how Manulife improved the efficiency and reliability of their Pivotal Cloud Foundry (PCF) platforms while saving over $730,000. Key changes included implementing a scheduler to stop non-critical apps on weekends, switching from internal to external blob storage, changing Diego cell VM types to more optimized models, and tuning various foundation configurations. These changes resulted in estimated annual savings of $40,000 from scheduling, $21,500 from external blob storage, and over $1 million from Diego cell and foundation changes, for a total of over $1 million in savings.
The document discusses various Oracle Cloud Infrastructure storage services including local NVMe storage, block volumes, file storage, object storage, and archive storage. It provides details on the type, durability, capacity, unit size, and use cases of each storage service. Local NVMe storage provides temporary SSD-based storage attached directly to compute instances, while block volumes provide durable block-level storage that can be attached to instances independently. File storage provides shared NFS-compatible file systems, object storage offers highly durable object storage, and archive storage is for long-term archival and backups.
This white paper describes how BlueData enables virtualization of Hadoop and Spark workloads running on Intel architecture.
Even as virtualization has spread throughout the data center, Apache Hadoop continues to be deployed almost exclusively on bare-metal physical servers. Processing overhead and I/O latency typically associated with virtualization have prevented big data architects from virtualizing Hadoop implementations.
As a result, most Hadoop initiatives have been limited in terms of agility, with infrastructure changes such as provisioning a new server for Hadoop often taking weeks or even months. This infrastructure complexity continues to slow down adoption in enterprise deployments. Apache Spark is a relatively new big data technology, but interest is growing rapidly; many of these same deployment challenges apply to on-premises Spark implementations.
The BlueData EPIC software platform addresses these limitations, enabling data center operators to accelerate Hadoop and Spark implementations on Intel architecture-based servers.
For more information, visit intel.com/bigdata and bluedata.com
Hadoop and WANdisco: The Future of Big DataWANdisco Plc
View the webinar recording here... http://youtu.be/O1pgMMyoJg0
Who: WANdisco CEO, David Richards, and core creaters of Apache Hadoop, Dr. Konstantin Shvachko and Jagane Sundare.
What: WANdisco recently acquired AltoStor, a pioneering firm with deep expertise in the multi-billion dollar Big Data market.
New to the WANdisco team are the Hadoop core creaters, Dr. Konstantin Shvachko and Jagane Sundare. They will cover the the acquisition and reveal how WANdisco's active-active replication technology will change the game of Big Data for the enterprise in 2013.
Hadoop, a proven open source Big Data technolgoy, is the backbone of Yahoo, Facebook, Netflix, Amazon, Ebay and many of the world's largest databases.
When: Tuesday, December 11th at 10am PST (1pm EST).
Why: In this 30-minute webinar you’ll learn:
The staggering, cross-industry growth of Hadoop in the enterprise
How Hadoop's limitations, including HDFS's single-point of failure, are impacting the productivity of the enterprise
How WANdisco's active-active replication technology will alleviate these issues by adding high-availability to Hadoop, taking a fundamentally different approach to Big Data
View the webinar Q&A on the WANdisco blog here...http://blogs.wandisco.com/2012/12/14/answers-to-questions-from-the-webinar-of-dec-11-2012/
SQL Server 2008 R2 Parallel Data Warehouserobinson_adams
The document discusses Microsoft's SQL Server 2008 R2 Parallel Data Warehouse (PDW). Key points include: PDW enables data warehouses handling tens to hundreds of terabytes using industry standard hardware; it provides a simplified and low-cost appliance model; and its hub-and-spoke architecture allows integration with existing SQL Server 2008 databases. The document also outlines PDW's architecture and features, and provides an example case study of its use at First Premier Bankcard.
Overcoming write availability challenges of PostgreSQLEDB
There's no shortage of physical replication solutions for PostgreSQL, they scale horizontally and provide high read availability. But where they fall short is write availability, which leads many users to consider PostgreSQL logical replication. Existing solutions have a single point of failure or are dependent on a forked, vendor-provided PostgreSQL extension making reliable, enterprise-class logical replication hard to come by. Furthermore, these solutions put limits on scaling PostgreSQL.
By combining Kafka, an open source event streaming system with PostgreSQL, customers can get a fault tolerant, scalable logical replication service. Learn how EDB Replicate leverages Kafka for high write availability needed for today's demanding consumers who expect their applications to be always available and won't tolerate latency.
The document provides an overview of new features in HDFS in Hadoop 2, including:
- A new appendable write pipeline that allows files to be reopened for append and provides primitives like hflush and hsync.
- Support for multiple namenode federation to improve scalability and isolate namespaces.
- Namenode high availability using techniques like ZooKeeper and a quorum journal manager to avoid single points of failure.
- A new file system snapshots feature that allows point-in-time recovery through copy-on-write snapshots without data copying.
This document discusses Oracle Cloud Infrastructure compute services. It describes the differences between bare metal instances, virtual machines, and dedicated hosts. It provides an overview of Oracle-provided images, bringing your own images, and creating custom images. Instance configurations, pools, and autoscaling policies are also covered. The document discusses instance metadata and lifecycle states like starting, stopping, rebooting, and terminating instances. It provides examples of using the instance metadata service and describes how billing works for different instance shapes depending on their state.
Big Data and virtualization are two of the most exciting trends in the industry today. In this session you will learn about the components of Big Data systems, and how real-time, interactive and distributed processing systems like Hadoop integrate with existing applications and databases. The combination of Big Data systems with virtualization gives Hadoop and other Big Data technologies the key benefits of cloud computing: elasticity, multi-tenancy and high availability. A new open source project that VMware will announce at the Hadoop Summit will make it easy to deploy, configure and manage Hadoop on a virtualized infrastructure. We will discuss reference architectures for key Hadoop distributions anddiscuss future directions of this new open source project.
A webinarban megtudhatják milyen kihívásokkal kell szembenézni Oracle adatbázis PostgreSQL-re migrálása során. Bemutatjuk az utóbbi két év nagy komplexitású Oracle kompatibilitási vizsgálatainak tapasztalatait, beleértve az idei évben az EDB migrációs portálján keresztül vizsgált több mint 2 200 000 Oracle DDL konstrukciót.
Az előadás alatt kitérünk az alábbiakra:
- Tárhely (storage) definiciók
- Csomagok
- Tárolt eljárások
- PL/SQL kód
- Gyártói adatbázis API-k
- Komplex adatbázis migrációk
Előadásunkat olyan migrációs eszközök bemutatásával zárjuk, amelyek jelentősen leegyszerűsítik az Oracle-PostgeSQL migrációt és csökkentik annak kockázatait.
Large Table Partitioning with PostgreSQL and DjangoEDB
With great DB Table comes great responsibility". Our email messages table was growing too much and we needed to do something about it. We will talk about how we integrated PostgreSQL Declarative partitioning with our Django based Customer Portal to solve the problem.
Building High Scalability Apps With TerracottaDavid Reines
Senior Architect David Reines will present the simple yet powerful clustering capabilities of Terracotta. David will include a brief overview of the product, an in-depth discussion of Terracotta Distributed Shared Objects, and a live load test demonstrating the importance of a well designed clustered application.
David Reines is a Senior Consultant at Object Partners Inc. He has lead the development efforts of several mission-critical enterprise applications in the Twin Cities area. During this time, he has worked very closely with numerous commercial and open source JEE technologies. David has always favored a pragmatic approach to selecting enterprise application technologies and is currently focusing on building highly-concurrent distributed applications using Terracotta.
This document provides guidance and best practices for migrating database workloads to infrastructure as a service (IaaS) in Microsoft Azure. It discusses choosing the appropriate virtual machine series and storage options to meet performance needs. The document emphasizes migrating the workload, not the hardware, and using cloud services to simplify management like automated patching and backup snapshots. It also recommends bringing existing monitoring and management tools to the cloud when possible rather than replacing them. The key takeaways are to understand the workload demands, choose optimal IaaS configurations, leverage cloud-enabled tools, and involve database experts when issues arise to address the root cause rather than just adding resources.
This document discusses connecting Oracle Analytics Cloud (OAC) Essbase data to Microsoft Power BI. It provides an overview of Power BI and OAC, describes various methods for connecting the two including using a REST API and exporting data to Excel or CSV files, and demonstrates some visualization capabilities in Power BI including trends over time. Key lessons learned are that data can be accessed across tools through various connections, analytics concepts are often similar between tools, and while partnerships exist between Microsoft and Oracle, integration between specific products like Power BI and OAC is still limited.
EDB 13 - New Enhancements for Security and Usability - APJEDB
Database security is always of paramount importance to all organizations. In this webinar, we will explore the security, usability, and portability updates of the latest version of the EDB database server and tools.
Join us in this webinar to learn:
- The new security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents
- Usability updates that automate partitioning, verify backup integrity, and streamline the management of failover and backups
- Portability improvements that simplify running PostgreSQL across on-premise and cloud environments
Oracle ADF Architecture TV - Development - Version ControlChris Muir
Slides from Oracle's ADF Architecture TV series covering the Development phase of ADF projects, discussing SVN version control for your ADF projects.
Like to know more? Check out:
- Subscribe to the YouTube channel - http://bit.ly/adftvsub
- Development Playlist - http://www.youtube.com/playlist?list=PLJz3HAsCPVaQfFop-QTJUE6LtjkyP_SOp
- Read the episode index on the ADF Architecture Square - http://bit.ly/adfarchsquare
Whats new in Enterprise 5.0 Product SuiteMicro Focus
This document summarizes new features across Micro Focus's Enterprise Product Suite version 5.0, including .NET Core support, Amazon Web Services Quick Start, COBOL formatting, code analysis views, Enterprise Server scale out architecture, common web administration, Application Workflow Manager improvements, AppMaster Builder data view changes, CICS and IMS support enhancements, COBOL and PL/I language additions, debugging upgrades, and more. Key areas of focus include multi-system administration of Enterprise Server, integration of mainframe workloads on modern platforms, and development productivity aids.
The document discusses Oracle 12c's multitenant architecture which introduces the concepts of a container database (CDB) and pluggable databases (PDBs). A CDB can host multiple PDBs that appear as independent databases but share resources. PDBs can be unplugged from one CDB and plugged into another, allowing for quick provisioning and cloning of databases. The multitenant architecture provides benefits like consolidation of databases, rapid provisioning and cloning using SQL, and easier patching and upgrades.
Beginner's Guide to High Availability for Postgres EDB
Highly available databases are essential to organizations depending on mission-critical, 24/7 access to data. PostgreSQL is widely recognized as an excellent open-source database, with critical maturity and features that allow organizations to scale and achieve high availability.
This presentation will discuss best practices for designing and building a solid, robust and flexible Hadoop platform on an enterprise virtual infrastructure. Attendees will learn the flexibility and operational advantages of Virtual Machines such as fast provisioning, cloning, high levels of standardization, hybrid storage, vMotioning, increased stabilization of the entire software stack, High Availability and Fault Tolerance. This is a can`t miss presentation for anyone wanting to understand design, configuration and deployment of Hadoop in virtual infrastructures.
Part of the core Hadoop project, YARN is the architectural center of Hadoop that allows multiple data processing engines such as interactive SQL, real-time streaming, data science and batch processing to handle data stored in a single platform, unlocking an entirely new approach to analytics. It is the foundation of the new generation of Hadoop and is enabling organizations everywhere to realize a Modern Data Architecture.
Start Counting: How We Unlocked Platform Efficiency and Reliability While Sav...VMware Tanzu
The document describes how Manulife improved the efficiency and reliability of their Pivotal Cloud Foundry (PCF) platforms while saving over $730,000. Key changes included implementing a scheduler to stop non-critical apps on weekends, switching from internal to external blob storage, changing Diego cell VM types to more optimized models, and tuning various foundation configurations. These changes resulted in estimated annual savings of $40,000 from scheduling, $21,500 from external blob storage, and over $1 million from Diego cell and foundation changes, for a total of over $1 million in savings.
The document discusses various Oracle Cloud Infrastructure storage services including local NVMe storage, block volumes, file storage, object storage, and archive storage. It provides details on the type, durability, capacity, unit size, and use cases of each storage service. Local NVMe storage provides temporary SSD-based storage attached directly to compute instances, while block volumes provide durable block-level storage that can be attached to instances independently. File storage provides shared NFS-compatible file systems, object storage offers highly durable object storage, and archive storage is for long-term archival and backups.
This white paper describes how BlueData enables virtualization of Hadoop and Spark workloads running on Intel architecture.
Even as virtualization has spread throughout the data center, Apache Hadoop continues to be deployed almost exclusively on bare-metal physical servers. Processing overhead and I/O latency typically associated with virtualization have prevented big data architects from virtualizing Hadoop implementations.
As a result, most Hadoop initiatives have been limited in terms of agility, with infrastructure changes such as provisioning a new server for Hadoop often taking weeks or even months. This infrastructure complexity continues to slow down adoption in enterprise deployments. Apache Spark is a relatively new big data technology, but interest is growing rapidly; many of these same deployment challenges apply to on-premises Spark implementations.
The BlueData EPIC software platform addresses these limitations, enabling data center operators to accelerate Hadoop and Spark implementations on Intel architecture-based servers.
For more information, visit intel.com/bigdata and bluedata.com
Hadoop and WANdisco: The Future of Big DataWANdisco Plc
View the webinar recording here... http://youtu.be/O1pgMMyoJg0
Who: WANdisco CEO, David Richards, and core creaters of Apache Hadoop, Dr. Konstantin Shvachko and Jagane Sundare.
What: WANdisco recently acquired AltoStor, a pioneering firm with deep expertise in the multi-billion dollar Big Data market.
New to the WANdisco team are the Hadoop core creaters, Dr. Konstantin Shvachko and Jagane Sundare. They will cover the the acquisition and reveal how WANdisco's active-active replication technology will change the game of Big Data for the enterprise in 2013.
Hadoop, a proven open source Big Data technolgoy, is the backbone of Yahoo, Facebook, Netflix, Amazon, Ebay and many of the world's largest databases.
When: Tuesday, December 11th at 10am PST (1pm EST).
Why: In this 30-minute webinar you’ll learn:
The staggering, cross-industry growth of Hadoop in the enterprise
How Hadoop's limitations, including HDFS's single-point of failure, are impacting the productivity of the enterprise
How WANdisco's active-active replication technology will alleviate these issues by adding high-availability to Hadoop, taking a fundamentally different approach to Big Data
View the webinar Q&A on the WANdisco blog here...http://blogs.wandisco.com/2012/12/14/answers-to-questions-from-the-webinar-of-dec-11-2012/
SQL Server 2008 R2 Parallel Data Warehouserobinson_adams
The document discusses Microsoft's SQL Server 2008 R2 Parallel Data Warehouse (PDW). Key points include: PDW enables data warehouses handling tens to hundreds of terabytes using industry standard hardware; it provides a simplified and low-cost appliance model; and its hub-and-spoke architecture allows integration with existing SQL Server 2008 databases. The document also outlines PDW's architecture and features, and provides an example case study of its use at First Premier Bankcard.
Overcoming write availability challenges of PostgreSQLEDB
There's no shortage of physical replication solutions for PostgreSQL, they scale horizontally and provide high read availability. But where they fall short is write availability, which leads many users to consider PostgreSQL logical replication. Existing solutions have a single point of failure or are dependent on a forked, vendor-provided PostgreSQL extension making reliable, enterprise-class logical replication hard to come by. Furthermore, these solutions put limits on scaling PostgreSQL.
By combining Kafka, an open source event streaming system with PostgreSQL, customers can get a fault tolerant, scalable logical replication service. Learn how EDB Replicate leverages Kafka for high write availability needed for today's demanding consumers who expect their applications to be always available and won't tolerate latency.
The document provides an overview of new features in HDFS in Hadoop 2, including:
- A new appendable write pipeline that allows files to be reopened for append and provides primitives like hflush and hsync.
- Support for multiple namenode federation to improve scalability and isolate namespaces.
- Namenode high availability using techniques like ZooKeeper and a quorum journal manager to avoid single points of failure.
- A new file system snapshots feature that allows point-in-time recovery through copy-on-write snapshots without data copying.
This document discusses Oracle Cloud Infrastructure compute services. It describes the differences between bare metal instances, virtual machines, and dedicated hosts. It provides an overview of Oracle-provided images, bringing your own images, and creating custom images. Instance configurations, pools, and autoscaling policies are also covered. The document discusses instance metadata and lifecycle states like starting, stopping, rebooting, and terminating instances. It provides examples of using the instance metadata service and describes how billing works for different instance shapes depending on their state.
Big Data and virtualization are two of the most exciting trends in the industry today. In this session you will learn about the components of Big Data systems, and how real-time, interactive and distributed processing systems like Hadoop integrate with existing applications and databases. The combination of Big Data systems with virtualization gives Hadoop and other Big Data technologies the key benefits of cloud computing: elasticity, multi-tenancy and high availability. A new open source project that VMware will announce at the Hadoop Summit will make it easy to deploy, configure and manage Hadoop on a virtualized infrastructure. We will discuss reference architectures for key Hadoop distributions anddiscuss future directions of this new open source project.
A webinarban megtudhatják milyen kihívásokkal kell szembenézni Oracle adatbázis PostgreSQL-re migrálása során. Bemutatjuk az utóbbi két év nagy komplexitású Oracle kompatibilitási vizsgálatainak tapasztalatait, beleértve az idei évben az EDB migrációs portálján keresztül vizsgált több mint 2 200 000 Oracle DDL konstrukciót.
Az előadás alatt kitérünk az alábbiakra:
- Tárhely (storage) definiciók
- Csomagok
- Tárolt eljárások
- PL/SQL kód
- Gyártói adatbázis API-k
- Komplex adatbázis migrációk
Előadásunkat olyan migrációs eszközök bemutatásával zárjuk, amelyek jelentősen leegyszerűsítik az Oracle-PostgeSQL migrációt és csökkentik annak kockázatait.
Large Table Partitioning with PostgreSQL and DjangoEDB
With great DB Table comes great responsibility". Our email messages table was growing too much and we needed to do something about it. We will talk about how we integrated PostgreSQL Declarative partitioning with our Django based Customer Portal to solve the problem.
Building High Scalability Apps With TerracottaDavid Reines
Senior Architect David Reines will present the simple yet powerful clustering capabilities of Terracotta. David will include a brief overview of the product, an in-depth discussion of Terracotta Distributed Shared Objects, and a live load test demonstrating the importance of a well designed clustered application.
David Reines is a Senior Consultant at Object Partners Inc. He has lead the development efforts of several mission-critical enterprise applications in the Twin Cities area. During this time, he has worked very closely with numerous commercial and open source JEE technologies. David has always favored a pragmatic approach to selecting enterprise application technologies and is currently focusing on building highly-concurrent distributed applications using Terracotta.
This document provides guidance and best practices for migrating database workloads to infrastructure as a service (IaaS) in Microsoft Azure. It discusses choosing the appropriate virtual machine series and storage options to meet performance needs. The document emphasizes migrating the workload, not the hardware, and using cloud services to simplify management like automated patching and backup snapshots. It also recommends bringing existing monitoring and management tools to the cloud when possible rather than replacing them. The key takeaways are to understand the workload demands, choose optimal IaaS configurations, leverage cloud-enabled tools, and involve database experts when issues arise to address the root cause rather than just adding resources.
This document discusses connecting Oracle Analytics Cloud (OAC) Essbase data to Microsoft Power BI. It provides an overview of Power BI and OAC, describes various methods for connecting the two including using a REST API and exporting data to Excel or CSV files, and demonstrates some visualization capabilities in Power BI including trends over time. Key lessons learned are that data can be accessed across tools through various connections, analytics concepts are often similar between tools, and while partnerships exist between Microsoft and Oracle, integration between specific products like Power BI and OAC is still limited.
EDB 13 - New Enhancements for Security and Usability - APJEDB
Database security is always of paramount importance to all organizations. In this webinar, we will explore the security, usability, and portability updates of the latest version of the EDB database server and tools.
Join us in this webinar to learn:
- The new security features such as SCRAM and the encryption of database passwords and traffic between Failover Manager agents
- Usability updates that automate partitioning, verify backup integrity, and streamline the management of failover and backups
- Portability improvements that simplify running PostgreSQL across on-premise and cloud environments
Oracle ADF Architecture TV - Development - Version ControlChris Muir
Slides from Oracle's ADF Architecture TV series covering the Development phase of ADF projects, discussing SVN version control for your ADF projects.
Like to know more? Check out:
- Subscribe to the YouTube channel - http://bit.ly/adftvsub
- Development Playlist - http://www.youtube.com/playlist?list=PLJz3HAsCPVaQfFop-QTJUE6LtjkyP_SOp
- Read the episode index on the ADF Architecture Square - http://bit.ly/adfarchsquare
Whats new in Enterprise 5.0 Product SuiteMicro Focus
This document summarizes new features across Micro Focus's Enterprise Product Suite version 5.0, including .NET Core support, Amazon Web Services Quick Start, COBOL formatting, code analysis views, Enterprise Server scale out architecture, common web administration, Application Workflow Manager improvements, AppMaster Builder data view changes, CICS and IMS support enhancements, COBOL and PL/I language additions, debugging upgrades, and more. Key areas of focus include multi-system administration of Enterprise Server, integration of mainframe workloads on modern platforms, and development productivity aids.
This document provides an agenda for the BLUG 2012 conference on XPages Beyond the Basics taking place March 22-23, 2012 in Antwerp. The agenda covers topics like JavaScript/CSS aggregation, pre-loading for XPages, Java design elements, themes, the XPages Extension Library, relational database support, and recommended resources. It also includes background information on the presenter Ulrich Krause and his experience with Lotus Notes, Domino, and XPages development.
Docker allows creating isolated environments called containers from images. Containers provide a standard way to develop, ship, and run applications. The document discusses how Docker can be used for scientific computing including running different versions of software, automating computations, sharing research environments and results, and providing isolated development environments for users through Docker IaaS tools. K-scope is a code analysis tool that previously required complex installation of its Omni XMP dependency, but could now be run as a containerized application to simplify deployment.
Worksets in Revit allow users to organize model elements to facilitate collaborative work. Key aspects of worksets include:
- Worksets divide elements for easier management between team members.
- Elements are assigned to specific worksets that users can make visible or invisible.
- Central and local files are used for collaboration, with local files synchronizing changes to the central file.
- Elements can be "borrowed" between worksets to allow editing by other users.
- The workshare monitor tracks editing requests and notifies users of changes.
CD in kubernetes using helm and ksonnet. Stas KolenkinDataArt
This document discusses various tools for deploying applications to Kubernetes, including Helm, Ksonnet, Draft, Gitkube, Metaparticle, Skaffold, KSync, and Telepresence. It provides an overview of each tool, including their motivations, workflows, and how they compare to each other. Many of the tools aim to simplify deployments by automating builds, pushes to registries, and deployments to clusters. Ksonnet stands out as a tool that uses Jsonnet to define reusable application components and deploy them across multiple environments and clusters.
Containers allow multiple isolated user space instances to run on a single host operating system. Containers are seen as less flexible than virtual machines since they generally can only run the same operating system as the host. Docker adds an application deployment engine on top of a container execution environment. Docker aims to provide a lightweight way to model applications and a fast development lifecycle by reducing the time between code writing and deployment. Docker has components like the client/server, images used to create containers, and public/private registries for storing images.
This document discusses using Docker containers to deploy high performance computing (HPC) applications across private and public clouds. It begins with an abstract describing cloud bursting using Docker containers when demand spikes. The introduction provides background on Docker, a container-based virtualization technology that is more lightweight than hypervisor-based virtual machines. The authors implement a model for deploying distributed applications using Docker containers, which have less overhead than VMs since they share the host operating system and libraries. The system overview shows the process of creating Docker images of web applications, deploying them to containers on private cloud, and bursting to public cloud when thresholds are exceeded. The implementation details installing Docker and deploying applications within containers on the private cloud, then pushing the images
The document discusses new features in Quickr Domino 8.5 including a simplified user interface, enhanced document library and discussion forums, improved performance, and an upgraded rich text editor. It covers upgrading to Quickr 8.5, customizing the branding and menus, registering custom widgets, and previewing images and files.
Open Writing! Collaborative Authoring for CloudStack Documentation by Jessica...buildacloud
The document provides information about Apache CloudStack's documentation process and community. It discusses where the documentation website and source code repository are located. It describes how documentation is authored in modular Docbook XML files and built using Publican. It outlines the processes for documentation reviews, tracking bugs in Jira, and continuous integration builds with Jenkins. The document invites readers to get involved and contribute as documentation contributors.
The document provides information about Apache CloudStack's documentation process and community. It discusses where the documentation website and source code repository are located. It describes how documentation is authored in modular Docbook XML files and built using Publican. It outlines the processes for documentation reviews, tracking bugs in Jira, and continuous integration builds with Jenkins. The document invites readers to get involved and contribute as documentation contributors.
The NetBeans IDE provides helpful features for developing web applications:
1. It represents web applications with a project view for development and a file view for the built application, hiding complexities.
2. It generates and maintains Ant build scripts to automate compiling, cleaning, testing, WAR file creation, and deployment.
3. It offers syntax highlighting, code completion and other aids for developing JSP, HTML, servlets and more while detecting errors.
Users can manage project information and files using various version control and content management systems. These systems allow tracking changes over time through revisions and versions. Some examples include Subversion (SVN) for version control, and WordPress, Drupal, and MediaWiki for content management. Users make local working copies and changes, then commit changes back to the shared repository. Merging allows integrating changes from different users. An open source spool design for a 3D printer was improved over time by multiple designers on Thingiverse through an iterative design process.
This document provides an agenda for a conference on XPages Beyond the Basics held from February 2-3, 2012 in Denmark. The agenda includes topics like JavaScript/CSS aggregation, pre-loading for XPages, Java design elements, themes, the XPages Extension Library, relational database support using JDBC, exporting data to Excel/PDF, and more. The document also introduces the speaker, Ulrich Krause, an IBM Champion and experienced Notes/Domino developer.
These slides show how to set up and administer the networking, Apache Configurations, work management and IBM i security in order to support a PHP environment on IBM i.
Presenters – Jim Oberholtzer, CTA at Agile Technology Architects, LLC & Mike Pavlak, Zend Technologies - October 05, 2011
The document announces the Entwicklercamp 2012 event from March 26-28 at the Maritim Hotel in Gelsenkirchen, Germany. It will feature sessions on XPages, the Extension Library, pre-loading for XPages, Java design elements, themes, and more. The event is organized by Ulrich Krause of is@web, an IBM Champion for collaboration solutions.
Suffering from Chronic Patching Pain? Get Relief with Fleet Maintenance [CON6...Timothy Schubert
This document summarizes Oracle's Fleet Maintenance capabilities for managing database software configurations at scale. It discusses defining software images and versions, subscribing databases to images, deploying updates across subscribed environments, and managing exceptions. Fleet Maintenance allows automated patching and upgrades of thousands of databases with minimal downtime through standardized software configurations.
Everything you need to know about creating, managing and debugging Java applications on IBM Bluemix. This presentation covers the features the IBM WebSphere Application Server Liberty Buildpack provides to make Java development on the cloud easier. It also covers the Eclipse tooling support including remote debugging, incremental update, etc.
Oracle Data Integrator (ODI) is an ETL tool acquired by Oracle in 2006. It provides a graphical interface to build, manage, and maintain data integration processes. ODI can extract, transform, and load data between heterogeneous data sources to support business intelligence, data warehousing, data migrations, and master data management projects. It uses a 4-tier architecture with repositories to store metadata and designs, an ODI Studio for development, runtime agents to execute tasks, and a console for monitoring.
Quadcept ver10.7 release note summarizes the key updates and improvements in the latest version, including:
1) Added over 2,300 Toshiba component libraries for improved design capabilities.
2) Enhanced keep out area functionality to better visualize prohibited design rules through layer-specific fill colors and styles.
3) Improved routing efficiency by adding options to fix or change line widths between routing steps.
4) Resolved issues with importing DXF files and improved overall PCB design workflow.
Thank you very much for using Quadcept. We are offering the new version 10.5.0 that provides new features, improvements and enhancements for a better development environment and service.
Thank you very much for using Quadcept. We are offering the new version 10.3.0 that provides new features, improvements and enhancements for a better development environment and service.
Thank you very much for using Quadcept. We are offering the new version 10.2.0 that provides new features, improvements and enhancements for a better development environment and service.
Thank you very much for using Quadcept. We are offering the new version 10.1.0 that provides new features, improvements and enhancements for a better development environment and service.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
React.js, a JavaScript library developed by Facebook, has gained immense popularity for building user interfaces, especially for single-page applications. Over the years, React has evolved and expanded its capabilities, becoming a preferred choice for mobile app development. This article will explore why React.js is an excellent choice for the Best Mobile App development company in Noida.
Visit Us For Information: https://www.linkedin.com/pulse/what-makes-reactjs-stand-out-mobile-app-development-rajesh-rai-pihvf/
Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...Paul Brebner
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻campbellclarkson
Connect with fellow Trailblazers, learn from industry experts Glenda Thomson (Salesforce, Principal Technical Architect) and Will Dinn (Judo Bank, Salesforce Development Lead), and discover how to harness DevOps tools with Salesforce.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
The Power of Visual Regression Testing_ Why It Is Critical for Enterprise App...kalichargn70th171
Visual testing plays a vital role in ensuring that software products meet the aesthetic requirements specified by clients in functional and non-functional specifications. In today's highly competitive digital landscape, users expect a seamless and visually appealing online experience. Visual testing, also known as automated UI testing or visual regression testing, verifies the accuracy of the visual elements that users interact with.
Orca: Nocode Graphical Editor for Container OrchestrationPedro J. Molina
Tool demo on CEDI/SISTEDES/JISBD2024 at A Coruña, Spain. 2024.06.18
"Orca: Nocode Graphical Editor for Container Orchestration"
by Pedro J. Molina PhD. from Metadev
WWDC 2024 Keynote Review: For CocoaCoders AustinPatrick Weigel
Overview of WWDC 2024 Keynote Address.
Covers: Apple Intelligence, iOS18, macOS Sequoia, iPadOS, watchOS, visionOS, and Apple TV+.
Understandable dialogue on Apple TV+
On-device app controlling AI.
Access to ChatGPT with a guest appearance by Chief Data Thief Sam Altman!
App Locking! iPhone Mirroring! And a Calculator!!
What to do when you have a perfect model for your software but you are constrained by an imperfect business model?
This talk explores the challenges of bringing modelling rigour to the business and strategy levels, and talking to your non-technical counterparts in the process.
Photoshop Tutorial for Beginners (2024 Edition)alowpalsadig
Photoshop Tutorial for Beginners (2024 Edition)
Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."
Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
Photoshop Tutorial for Beginners (2024 Edition)Explore the evolution of programming and software development and design in 2024. Discover emerging trends shaping the future of coding in our insightful analysis."Here's an overview:Introduction: The Evolution of Programming and Software DevelopmentThe Rise of Artificial Intelligence and Machine Learning in CodingAdopting Low-Code and No-Code PlatformsQuantum Computing: Entering the Software Development MainstreamIntegration of DevOps with Machine Learning: MLOpsAdvancements in Cybersecurity PracticesThe Growth of Edge ComputingEmerging Programming Languages and FrameworksSoftware Development Ethics and AI RegulationSustainability in Software EngineeringThe Future Workforce: Remote and Distributed TeamsConclusion: Adapting to the Changing Software Development LandscapeIntroduction: The Evolution of Programming and Software Development
The importance of developing and designing programming in 2024
Programming design and development represents a vital step in keeping pace with technological advancements and meeting ever-changing market needs. This course is intended for anyone who wants to understand the fundamental importance of software development and design, whether you are a beginner or a professional seeking to update your knowledge.
Course objectives:
1. **Learn about the basics of software development:
- Understanding software development processes and tools.
- Identify the role of programmers and designers in software projects.
2. Understanding the software design process:
- Learn about the principles of good software design.
- Discussing common design patterns such as Object-Oriented Design.
3. The importance of user experience (UX) in modern software:
- Explore how user experience can improve software acceptance and usability.
- Tools and techniques to analyze and improve user experience.
4. Increase efficiency and productivity through modern development tools:
- Access to the latest programming tools and languages used in the industry.
- Study live examples of applications
The Comprehensive Guide to Validating Audio-Visual Performances.pdfkalichargn70th171
Ensuring the optimal performance of your audio-visual (AV) equipment is crucial for delivering exceptional experiences. AV performance validation is a critical process that verifies the quality and functionality of your AV setup. Whether you're a content creator, a business conducting webinars, or a homeowner creating a home theater, validating your AV performance is essential.
Liberarsi dai framework con i Web Component.pptxMassimo Artizzu
In Italian
Presentazione sulle feature e l'utilizzo dei Web Component nell sviluppo di pagine e applicazioni web. Racconto delle ragioni storiche dell'avvento dei Web Component. Evidenziazione dei vantaggi e delle sfide poste, indicazione delle best practices, con particolare accento sulla possibilità di usare web component per facilitare la migrazione delle proprie applicazioni verso nuovi stack tecnologici.