ระบบ Enterprise Email Server รองรับการทำงานร่วมกับ Google Apps Cloud, Office365 Cloud เพื่อใช้งานร่วมกันหรือเป็น Internal Mail รองรับผู้ใช้งานไม่จำกัดจำนวน
The document summarizes a presentation about using Kafka, Streamliner, MemSQL and ZoomData for real-time analytics visualization. It shows an initial setup with one producer and queue feeding into Kafka, then adding a sink to an in-memory SQL database and real-time visualization consumer. It asks questions about ensuring the system is resilient, handles bad data and schema evolution, maintains consistency across visualization layers, and ability to scale throughput, concurrency and size.
This document discusses how Qlik and Cloudera can work together to enable big data analytics for businesses. It describes how QlikView integrates with Cloudera's Enterprise Data Hub to allow users to analyze both big data from the data hub as well as smaller datasets. Users can connect to big data sources via ODBC and Cloudera's driver. This gives business users the ability to apply QlikView's analytics and visualization tools to vast amounts of data stored in Cloudera. The combination provides businesses with speed, agility, and the ability to access and analyze all of their data to drive better decisions.
Building the Ideal Stack for Real-Time AnalyticsSingleStore
This document discusses building an ideal real-time analytics stack. It promotes the MemSQL database platform as being ranked #1 for operational data warehousing and being able to handle real-time analytics at massive scales. The ideal stack presented includes components for message queues, a transformation tier, data persistence with MemSQL, and real-time visualization. Use cases discussed include processing web logs, mobile apps, IoT data, and an energy company's drilling sensor data.
This document discusses interactive data visualization powered by Spark streaming. It describes how Zoomdata allows users to visualize streaming data in real-time as new data is delivered. The key challenges of streaming data like time, frequency, retention and synchronization are addressed. Zoomdata receives streaming data via Kafka or JMS, processes it using Spark Streaming in a single JVM, and stores the data in buffers like MongoDB. This allows for interactive data visualizations that update in real-time as new streaming data is processed. The document also outlines technologies used, how the system scales out, benefits, and includes a demo of streaming data from Twitter to MemSQL and Solr sinks using Spark Streaming.
The document discusses using a security data lake built on a big data platform to improve cyber defense visibility and analytics capabilities. It notes that traditional SIEM tools have limitations in scalability and openness that can be addressed using Hadoop and related big data technologies. Examples are given of how security data lakes can optimize SIEM systems by enabling greater data volumes, processing power, and analytics flexibility in a more cost effective and deployment flexible manner. The presentation concludes by describing Softnix's security data lake product and its capabilities for data collection, enrichment, analysis, search, and visualization.
Zoom Data is a data visualization tool that provides the following key capabilities:
1) It allows users to create near real-time interactive dashboards using live data at scale and stream data to real-time reports.
2) It supports exporting data to PDF and Excel formats and has options for multi-tenancy, one-click deployment on AWS, and is designed for large touchscreens.
3) While it is architecturally strong and can scale out well, it also has some limitations like limited front-end functionality, lack of offline analysis and mobile apps, and limited audit functionality.
Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...Spark Summit
Both Spark and HBase are widely used, but how to use them together with high performance and simplicity is a very challenging topic. Spark HBase Connector(SHC) provides feature rich and efficient access to HBase through Spark SQL. It bridges the gap between the simple HBase key value store and complex relational SQL queries and enables users to perform complex data analytics on top of HBase using Spark. SHC implements the standard Spark data source APIs, and leverages the Spark catalyst engine for query optimization. To achieve high performance, SHC constructs the RDD from scratch instead of using the standard HadoopRDD. With the customized RDD, all critical techniques can be applied and fully implemented, such as partition pruning, column pruning, predicate pushdown and data locality. The design makes the maintenance easy, while achieving a good tradeoff between performance and simplicity. In addition to fully supporting all the Avro schemas natively, SHC has also integrated natively with Phoenix data types. With SHC, Spark can execute batch jobs to read/write data from/into Phoenix tables. Phoenix can also read/write data from/into HBase tables created by SHC. For example, users can run a complex SQL query on top of an HBase table created by Phoenix inside Spark, perform a table join against an Dataframe which reads the data from a Hive table, or integrate with Spark Streaming to implement a more complicated system. In this talk, apart from explaining why SHC is of great use, we will also demo how SHC works, how to use SHC in secure/non-secure clusters, how SHC works with multiple secure HBase clusters, etc. This talk will also benefit people who use Spark and other data sources (besides HBase) as it inspires them with ideas of how to support high performance data source access at the Spark DataFrame level.
Unprotected data stores are prone to data breaches. In this talk, I'll explain how to implement security on Hadoop. This talks covers basic elements, such as firewall, HA, backup, Kerberos, data encryption (both at rest and in transit).
I also shed light on how Cloudera handles security vulnerability reports, and a little bit on partner product certification process.
The document summarizes a presentation about using Kafka, Streamliner, MemSQL and ZoomData for real-time analytics visualization. It shows an initial setup with one producer and queue feeding into Kafka, then adding a sink to an in-memory SQL database and real-time visualization consumer. It asks questions about ensuring the system is resilient, handles bad data and schema evolution, maintains consistency across visualization layers, and ability to scale throughput, concurrency and size.
This document discusses how Qlik and Cloudera can work together to enable big data analytics for businesses. It describes how QlikView integrates with Cloudera's Enterprise Data Hub to allow users to analyze both big data from the data hub as well as smaller datasets. Users can connect to big data sources via ODBC and Cloudera's driver. This gives business users the ability to apply QlikView's analytics and visualization tools to vast amounts of data stored in Cloudera. The combination provides businesses with speed, agility, and the ability to access and analyze all of their data to drive better decisions.
Building the Ideal Stack for Real-Time AnalyticsSingleStore
This document discusses building an ideal real-time analytics stack. It promotes the MemSQL database platform as being ranked #1 for operational data warehousing and being able to handle real-time analytics at massive scales. The ideal stack presented includes components for message queues, a transformation tier, data persistence with MemSQL, and real-time visualization. Use cases discussed include processing web logs, mobile apps, IoT data, and an energy company's drilling sensor data.
This document discusses interactive data visualization powered by Spark streaming. It describes how Zoomdata allows users to visualize streaming data in real-time as new data is delivered. The key challenges of streaming data like time, frequency, retention and synchronization are addressed. Zoomdata receives streaming data via Kafka or JMS, processes it using Spark Streaming in a single JVM, and stores the data in buffers like MongoDB. This allows for interactive data visualizations that update in real-time as new streaming data is processed. The document also outlines technologies used, how the system scales out, benefits, and includes a demo of streaming data from Twitter to MemSQL and Solr sinks using Spark Streaming.
The document discusses using a security data lake built on a big data platform to improve cyber defense visibility and analytics capabilities. It notes that traditional SIEM tools have limitations in scalability and openness that can be addressed using Hadoop and related big data technologies. Examples are given of how security data lakes can optimize SIEM systems by enabling greater data volumes, processing power, and analytics flexibility in a more cost effective and deployment flexible manner. The presentation concludes by describing Softnix's security data lake product and its capabilities for data collection, enrichment, analysis, search, and visualization.
Zoom Data is a data visualization tool that provides the following key capabilities:
1) It allows users to create near real-time interactive dashboards using live data at scale and stream data to real-time reports.
2) It supports exporting data to PDF and Excel formats and has options for multi-tenancy, one-click deployment on AWS, and is designed for large touchscreens.
3) While it is architecturally strong and can scale out well, it also has some limitations like limited front-end functionality, lack of offline analysis and mobile apps, and limited audit functionality.
Apache Spark—Apache HBase Connector: Feature Rich and Efficient Access to HBa...Spark Summit
Both Spark and HBase are widely used, but how to use them together with high performance and simplicity is a very challenging topic. Spark HBase Connector(SHC) provides feature rich and efficient access to HBase through Spark SQL. It bridges the gap between the simple HBase key value store and complex relational SQL queries and enables users to perform complex data analytics on top of HBase using Spark. SHC implements the standard Spark data source APIs, and leverages the Spark catalyst engine for query optimization. To achieve high performance, SHC constructs the RDD from scratch instead of using the standard HadoopRDD. With the customized RDD, all critical techniques can be applied and fully implemented, such as partition pruning, column pruning, predicate pushdown and data locality. The design makes the maintenance easy, while achieving a good tradeoff between performance and simplicity. In addition to fully supporting all the Avro schemas natively, SHC has also integrated natively with Phoenix data types. With SHC, Spark can execute batch jobs to read/write data from/into Phoenix tables. Phoenix can also read/write data from/into HBase tables created by SHC. For example, users can run a complex SQL query on top of an HBase table created by Phoenix inside Spark, perform a table join against an Dataframe which reads the data from a Hive table, or integrate with Spark Streaming to implement a more complicated system. In this talk, apart from explaining why SHC is of great use, we will also demo how SHC works, how to use SHC in secure/non-secure clusters, how SHC works with multiple secure HBase clusters, etc. This talk will also benefit people who use Spark and other data sources (besides HBase) as it inspires them with ideas of how to support high performance data source access at the Spark DataFrame level.
Unprotected data stores are prone to data breaches. In this talk, I'll explain how to implement security on Hadoop. This talks covers basic elements, such as firewall, HA, backup, Kerberos, data encryption (both at rest and in transit).
I also shed light on how Cloudera handles security vulnerability reports, and a little bit on partner product certification process.
Put Alternative Data to Use in Capital Markets Cloudera, Inc.
This document discusses alternative data in capital markets. It provides an overview of alternative data sources like social media, satellite imagery, and location data. It also describes how firms are using alternative data to enhance traditional analysis and develop new investment strategies. The document notes that most alternative data users have seen returns from using this data. However, accessing and analyzing large alternative data sets remains a challenge. It promotes the use of data platforms and visual analytics to more effectively ingest, store, and operationalize alternative data.
Using Big Data to Transform Your Customer’s Experience - Part 1 Cloudera, Inc.
3 Things to Learn About:
-How the Customer Insights Solution helped
- How customer insights can improve customer loyalty, reduce customer churn, and increase upsell opportunities
- Which real-world use cases are ideal for using big data analytics on customer data
My perspective on the evolution of big data from the perspective of a distributed systems researcher & engineer -- the background of how it get started, the scale-out paradigm, industry use cases, open source development paradigm, and interesting future challenges.
Partner Ecosystem Showcase for Apache Ranger and Apache AtlasDataWorks Summit
This document provides information about Apache Ranger and Apache Atlas partner ecosystems and integration partnerships. It discusses Hortonworks' partner certification programs for SEC Ready and GOV Ready, and showcases partner technologies that have been integrated and certified with Apache Ranger and Apache Atlas, including from Talend, Arcadia Data, and Protegrity. The document also provides timelines and release information for Apache Ranger and Apache Atlas community development and integration with Hortonworks Data Platform (HDP) releases.
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice MachineData Con LA
In this talk, we will discuss how we use Spark as part of a hybrid RDBMS architecture that includes Hadoop and HBase. The optimizer evaluates each query and sends OLTP traffic (including CRUD queries) to HBase and OLAP traffic to Spark. We will focus on the challenges of handling the tradeoffs inherent in an integrated architecture that simultaneously handles real-time and batch traffic. Lessons learned include: - Embedding Spark into a RDBMS - Running Spark on Yarn and isolating OLTP traffic from OLAP traffic - Accelerating the generation of Spark RDDs from HBase - Customizing the Spark UI The lessons learned can also be applied to other hybrid systems, such as Lambda architectures.
Bio:-
John Leach is the CTO and Co-Founder of Splice Machine. With over 15 years of software experience under his belt, John’s expertise in analytics and BI drives his role as Chief Technology Officer. Prior to Splice Machine, John founded Incite Retail in June 2008 and led the company’s strategy and development efforts. At Incite Retail, he built custom Big Data systems (leveraging HBase and Hadoop) for Fortune 500 companies. Prior to Incite Retail, he ran the business intelligence practice at Blue Martini Software and built strategic partnerships with integration partners. John was a key subject matter expert for Blue Martini Software in many strategic implementations across the world. His focus at Blue Martini was helping clients incorporate decision support knowledge into their current business processes utilizing advanced algorithms and machine learning. John received dual bachelor’s degrees in biomedical and mechanical engineering from Washington University in Saint Louis. Leach is the organizer emeritus for the Saint Louis Hadoop Users Group and is active in the Washington University Elliot Society.
The Fast Path to Building Operational Applications with SparkSingleStore
Nikita Shamgunov gave a presentation about using MemSQL and Spark together. MemSQL is a scalable operational database that can handle petabytes of data with high concurrency. It offers real-time capabilities and compatibility with tools like Spark, Kafka, and ETL/BI tools. The MemSQL Spark Connector allows bidirectional transfer of data between Spark and MemSQL tables for use cases like operationalizing models in Spark, stream/event processing, and live dashboards. Case studies showed customers gaining 10x faster data refresh times and performing entity resolution at scale for fraud detection.
This document discusses data visualization and visual analytics. It begins by explaining how visualization can help make sense of large amounts of data by transforming data into information. Visualization includes techniques from scientific visualization, information visualization, and visual analytics. The goals of visualization are analysis, presentation, and aiding decision making. Visual analytics combines interactive visual interfaces with algorithms to help people analyze complex big data.
Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...Cloudera, Inc.
Unternehmen sind heutzutage in der Lage ihre Daten mit relativer Leichtigkeit aufzunehmen und zu verwalten. Die Herausforderung besteht nun darin, die verborgenen Muster in den Daten zu erkennen und diese zu verstehen, um einen Mehrwert zu generieren. Aufgrund der großen Datenmengen gelingt dies mit traditionelle Ansätzen zumeist nicht. Das Ergebnis: Organisationen kämpfen, um wirklich zu innovieren und sich zu differenzieren.
IBM Watson has several advantages for data analysis: it allows for easy sharing and collaboration; provides descriptive, diagnostic, predictive, and prescriptive analysis; and uses pattern discovery technology. However, it also has some limitations: it can only take datasets with 12 or fewer columns; does not understand relational databases well; and has limited functions compared to some other tools. Datawatch Monarch is a self-service data preparation tool that allows business users to work directly with data on-premise without needing scripting skills. It can extract and prepare data from various sources for analysis in tools like IBM Watson Analytics. However, its ability to handle large datasets may be limited in the trial version.
The document discusses Cloudera and its platform for machine learning and analytics. It provides an overview of Cloudera's customers, partners, products, and services. Specifically, it discusses how Cloudera helps customers drive insights, connect products and services through IoT, and protect businesses. Examples are given of how Cloudera has helped customers in manufacturing, telematics, and connected vehicles. The platform is described as running anywhere, being scalable and enterprise grade.
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...Spark Summit
The use of large-scale machine learning and data mining methods is becoming ubiquitous in many application domains ranging from business intelligence and bioinformatics to self-driving cars. These methods heavily rely on matrix computations, and it is hence critical to make these computations scalable and efficient. These matrix computations are often complex and involve multiple steps that need to be optimized and sequenced properly for efficient execution. This work presents new efficient and scalable matrix processing and optimization techniques based on Spark. The proposed techniques estimate the sparsity of intermediate matrix-computation results and optimize communication costs. An evaluation plan generator for complex matrix computations is introduced as well as a distributed plan optimizer that exploits dynamic cost-based analysis and rule-based heuristics The result of a matrix operation will often serve as an input to another matrix operation, thus defining the matrix data dependencies within a matrix program. The matrix query plan generator produces query execution plans that minimize memory usage and communication overhead by partitioning the matrix based on the data dependencies in the execution plan. We implemented the proposed matrix techniques inside the Spark SQL, and optimize the matrix execution plan based on Spark SQL Catalyst. We conduct case studies on a series of ML models and matrix computations with special features on different datasets. These are PageRank, GNMF, BFGS, sparse matrix chain multiplications, and a biological data analysis. The open-source library ScaLAPACK and the array-based database SciDB are used for performance evaluation. Our experiments are performed on six real-world datasets are: social network data ( e.g., soc-pokec, cit-Patents, LiveJournal), Twitter2010, Netflix recommendation data, and 1000 Genomes Project sample. Experiments demonstrate that our proposed techniques achieve up to an order-of-magnitude performance.
Benefits of Transferring Real-Time Data to Hadoop at ScaleHortonworks
Today’s Big Data teams demand solutions designed for Big Data that are optimized, secure, and adaptable to changing workload requirements. Working together, Hortonworks, IBM, and Attunity have designed an integrated solution that transfers large volumes of data to a platform that can handle rapid ingest, processing and analysis of data of all types from all sources, at scale.
https://hortonworks.com/webinar/benefits-transferring-real-time-data-hadoop-scale-ibm-hortonworks-attunity/
[Big Data Spain] Apache Spark Streaming + Kafka 0.10: an Integration StoryJoan Viladrosa Riera
This document provides an overview of Apache Kafka and Apache Spark Streaming and their integration. It discusses what Kafka and Spark Streaming are, how they work, their benefits, and semantics when used together. It also provides examples of code for using the new Kafka integration in Spark 2.0+, including getting metadata, storing offsets in Kafka, and achieving at-most-once, at-least-once, and exactly-once processing semantics. Finally, it shares some insights into how Billy Mobile uses Spark Streaming with Kafka to process large volumes of data.
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo
This document discusses connected data and edge computing. It summarizes that connected devices, customers, vehicles, and assets are fueling new business models powered by streaming data, artificial intelligence, cloud computing, and the internet of things. It then describes Hortonworks' data platforms for managing both data at rest and in motion across cloud, on-premises and hybrid environments to enable analytics and power the modern data architecture.
Intracom Limited is a systems integrator and value added reseller that partners with technology vendors like Microsoft to provide information and communication technology solutions. The document discusses Office 365, a cloud-based software suite provided by Microsoft that includes applications like Word, Excel, PowerPoint, and Outlook. Office 365 allows users to access and collaborate on files from any device while providing enterprise-level security, communications features, and administration tools. Intracom acts as a local reseller of Office 365 in Kenya to help businesses transition to the cloud with this flexible and mobile software solution.
Net4 is a leading Indian provider of data center, cloud hosting, and network services. It has a pan-India presence with offices in 11 major cities serving over 850 corporate data center customers, 800 internet leased line customers, and over 1 million business email and website accounts. Net4 operates seven data centers across India providing hosting, infrastructure, and security services to businesses.
This document is a resume for Neilson Dimagiba Cinco. It summarizes his work experience in technical support roles over 15 years, including positions at Sophos, AtoS Information Technology, Sitel Philippines, Telus International Philippines, and Dell. It also lists his educational background of a Bachelor's degree in Business Administration and secondary education. Personal details are provided such as name, address, birthdate, and skills.
This document provides an overview of CenturyLink's Managed Office solution, which bundles managed data, voice, and application services. It highlights how the solution can simplify communications, increase flexibility, improve performance, keep technology current, and provide overall savings compared to managing these services internally. Key components of the solution include managed data connectivity, hosted VoIP phone service, Microsoft Office 365 apps, and full support from CenturyLink.
This document provides a financial proposal and details for corporate email hosting packages from Dotsilicon Limited. It includes pricing for various email account packages ranging from 5 to 100 email accounts, with storage space of 10GB to 200GB. Additional features covered are anti-spam and virus protection, webmail access, email utilities, security features, and payment options including direct payment, bKash, bank transfer and PayPal. Contact information and office location are also specified.
Learn about Samsung KNOX Message, a business messaging app that enterprises and SMBs can use to collaborate conveniently and securely at anytime, from anywhere.
KNOX Message is a business messaging app that allows companies and SMBs to collaborate securely from anywhere at any time. It offers advanced encryption, IT admin controls, multi-device support across Android, iOS and Windows, and integrates with existing company systems. Key features include secure messaging, privacy controls, simple design, and the ability to sync conversations across multiple user devices.
Put Alternative Data to Use in Capital Markets Cloudera, Inc.
This document discusses alternative data in capital markets. It provides an overview of alternative data sources like social media, satellite imagery, and location data. It also describes how firms are using alternative data to enhance traditional analysis and develop new investment strategies. The document notes that most alternative data users have seen returns from using this data. However, accessing and analyzing large alternative data sets remains a challenge. It promotes the use of data platforms and visual analytics to more effectively ingest, store, and operationalize alternative data.
Using Big Data to Transform Your Customer’s Experience - Part 1 Cloudera, Inc.
3 Things to Learn About:
-How the Customer Insights Solution helped
- How customer insights can improve customer loyalty, reduce customer churn, and increase upsell opportunities
- Which real-world use cases are ideal for using big data analytics on customer data
My perspective on the evolution of big data from the perspective of a distributed systems researcher & engineer -- the background of how it get started, the scale-out paradigm, industry use cases, open source development paradigm, and interesting future challenges.
Partner Ecosystem Showcase for Apache Ranger and Apache AtlasDataWorks Summit
This document provides information about Apache Ranger and Apache Atlas partner ecosystems and integration partnerships. It discusses Hortonworks' partner certification programs for SEC Ready and GOV Ready, and showcases partner technologies that have been integrated and certified with Apache Ranger and Apache Atlas, including from Talend, Arcadia Data, and Protegrity. The document also provides timelines and release information for Apache Ranger and Apache Atlas community development and integration with Hortonworks Data Platform (HDP) releases.
Spark as part of a Hybrid RDBMS Architecture-John Leach Cofounder Splice MachineData Con LA
In this talk, we will discuss how we use Spark as part of a hybrid RDBMS architecture that includes Hadoop and HBase. The optimizer evaluates each query and sends OLTP traffic (including CRUD queries) to HBase and OLAP traffic to Spark. We will focus on the challenges of handling the tradeoffs inherent in an integrated architecture that simultaneously handles real-time and batch traffic. Lessons learned include: - Embedding Spark into a RDBMS - Running Spark on Yarn and isolating OLTP traffic from OLAP traffic - Accelerating the generation of Spark RDDs from HBase - Customizing the Spark UI The lessons learned can also be applied to other hybrid systems, such as Lambda architectures.
Bio:-
John Leach is the CTO and Co-Founder of Splice Machine. With over 15 years of software experience under his belt, John’s expertise in analytics and BI drives his role as Chief Technology Officer. Prior to Splice Machine, John founded Incite Retail in June 2008 and led the company’s strategy and development efforts. At Incite Retail, he built custom Big Data systems (leveraging HBase and Hadoop) for Fortune 500 companies. Prior to Incite Retail, he ran the business intelligence practice at Blue Martini Software and built strategic partnerships with integration partners. John was a key subject matter expert for Blue Martini Software in many strategic implementations across the world. His focus at Blue Martini was helping clients incorporate decision support knowledge into their current business processes utilizing advanced algorithms and machine learning. John received dual bachelor’s degrees in biomedical and mechanical engineering from Washington University in Saint Louis. Leach is the organizer emeritus for the Saint Louis Hadoop Users Group and is active in the Washington University Elliot Society.
The Fast Path to Building Operational Applications with SparkSingleStore
Nikita Shamgunov gave a presentation about using MemSQL and Spark together. MemSQL is a scalable operational database that can handle petabytes of data with high concurrency. It offers real-time capabilities and compatibility with tools like Spark, Kafka, and ETL/BI tools. The MemSQL Spark Connector allows bidirectional transfer of data between Spark and MemSQL tables for use cases like operationalizing models in Spark, stream/event processing, and live dashboards. Case studies showed customers gaining 10x faster data refresh times and performing entity resolution at scale for fraud detection.
This document discusses data visualization and visual analytics. It begins by explaining how visualization can help make sense of large amounts of data by transforming data into information. Visualization includes techniques from scientific visualization, information visualization, and visual analytics. The goals of visualization are analysis, presentation, and aiding decision making. Visual analytics combines interactive visual interfaces with algorithms to help people analyze complex big data.
Webinar - Sehr empfehlenswert: wie man aus Daten durch maschinelles Lernen We...Cloudera, Inc.
Unternehmen sind heutzutage in der Lage ihre Daten mit relativer Leichtigkeit aufzunehmen und zu verwalten. Die Herausforderung besteht nun darin, die verborgenen Muster in den Daten zu erkennen und diese zu verstehen, um einen Mehrwert zu generieren. Aufgrund der großen Datenmengen gelingt dies mit traditionelle Ansätzen zumeist nicht. Das Ergebnis: Organisationen kämpfen, um wirklich zu innovieren und sich zu differenzieren.
IBM Watson has several advantages for data analysis: it allows for easy sharing and collaboration; provides descriptive, diagnostic, predictive, and prescriptive analysis; and uses pattern discovery technology. However, it also has some limitations: it can only take datasets with 12 or fewer columns; does not understand relational databases well; and has limited functions compared to some other tools. Datawatch Monarch is a self-service data preparation tool that allows business users to work directly with data on-premise without needing scripting skills. It can extract and prepare data from various sources for analysis in tools like IBM Watson Analytics. However, its ability to handle large datasets may be limited in the trial version.
The document discusses Cloudera and its platform for machine learning and analytics. It provides an overview of Cloudera's customers, partners, products, and services. Specifically, it discusses how Cloudera helps customers drive insights, connect products and services through IoT, and protect businesses. Examples are given of how Cloudera has helped customers in manufacturing, telematics, and connected vehicles. The platform is described as running anywhere, being scalable and enterprise grade.
MatFast: In-Memory Distributed Matrix Computation Processing and Optimization...Spark Summit
The use of large-scale machine learning and data mining methods is becoming ubiquitous in many application domains ranging from business intelligence and bioinformatics to self-driving cars. These methods heavily rely on matrix computations, and it is hence critical to make these computations scalable and efficient. These matrix computations are often complex and involve multiple steps that need to be optimized and sequenced properly for efficient execution. This work presents new efficient and scalable matrix processing and optimization techniques based on Spark. The proposed techniques estimate the sparsity of intermediate matrix-computation results and optimize communication costs. An evaluation plan generator for complex matrix computations is introduced as well as a distributed plan optimizer that exploits dynamic cost-based analysis and rule-based heuristics The result of a matrix operation will often serve as an input to another matrix operation, thus defining the matrix data dependencies within a matrix program. The matrix query plan generator produces query execution plans that minimize memory usage and communication overhead by partitioning the matrix based on the data dependencies in the execution plan. We implemented the proposed matrix techniques inside the Spark SQL, and optimize the matrix execution plan based on Spark SQL Catalyst. We conduct case studies on a series of ML models and matrix computations with special features on different datasets. These are PageRank, GNMF, BFGS, sparse matrix chain multiplications, and a biological data analysis. The open-source library ScaLAPACK and the array-based database SciDB are used for performance evaluation. Our experiments are performed on six real-world datasets are: social network data ( e.g., soc-pokec, cit-Patents, LiveJournal), Twitter2010, Netflix recommendation data, and 1000 Genomes Project sample. Experiments demonstrate that our proposed techniques achieve up to an order-of-magnitude performance.
Benefits of Transferring Real-Time Data to Hadoop at ScaleHortonworks
Today’s Big Data teams demand solutions designed for Big Data that are optimized, secure, and adaptable to changing workload requirements. Working together, Hortonworks, IBM, and Attunity have designed an integrated solution that transfers large volumes of data to a platform that can handle rapid ingest, processing and analysis of data of all types from all sources, at scale.
https://hortonworks.com/webinar/benefits-transferring-real-time-data-hadoop-scale-ibm-hortonworks-attunity/
[Big Data Spain] Apache Spark Streaming + Kafka 0.10: an Integration StoryJoan Viladrosa Riera
This document provides an overview of Apache Kafka and Apache Spark Streaming and their integration. It discusses what Kafka and Spark Streaming are, how they work, their benefits, and semantics when used together. It also provides examples of code for using the new Kafka integration in Spark 2.0+, including getting metadata, storing offsets in Kafka, and achieving at-most-once, at-least-once, and exactly-once processing semantics. Finally, it shares some insights into how Billy Mobile uses Spark Streaming with Kafka to process large volumes of data.
Denodo DataFest 2017: Edge Computing: Collecting vs. Connecting to Streaming ...Denodo
This document discusses connected data and edge computing. It summarizes that connected devices, customers, vehicles, and assets are fueling new business models powered by streaming data, artificial intelligence, cloud computing, and the internet of things. It then describes Hortonworks' data platforms for managing both data at rest and in motion across cloud, on-premises and hybrid environments to enable analytics and power the modern data architecture.
Intracom Limited is a systems integrator and value added reseller that partners with technology vendors like Microsoft to provide information and communication technology solutions. The document discusses Office 365, a cloud-based software suite provided by Microsoft that includes applications like Word, Excel, PowerPoint, and Outlook. Office 365 allows users to access and collaborate on files from any device while providing enterprise-level security, communications features, and administration tools. Intracom acts as a local reseller of Office 365 in Kenya to help businesses transition to the cloud with this flexible and mobile software solution.
Net4 is a leading Indian provider of data center, cloud hosting, and network services. It has a pan-India presence with offices in 11 major cities serving over 850 corporate data center customers, 800 internet leased line customers, and over 1 million business email and website accounts. Net4 operates seven data centers across India providing hosting, infrastructure, and security services to businesses.
This document is a resume for Neilson Dimagiba Cinco. It summarizes his work experience in technical support roles over 15 years, including positions at Sophos, AtoS Information Technology, Sitel Philippines, Telus International Philippines, and Dell. It also lists his educational background of a Bachelor's degree in Business Administration and secondary education. Personal details are provided such as name, address, birthdate, and skills.
This document provides an overview of CenturyLink's Managed Office solution, which bundles managed data, voice, and application services. It highlights how the solution can simplify communications, increase flexibility, improve performance, keep technology current, and provide overall savings compared to managing these services internally. Key components of the solution include managed data connectivity, hosted VoIP phone service, Microsoft Office 365 apps, and full support from CenturyLink.
This document provides a financial proposal and details for corporate email hosting packages from Dotsilicon Limited. It includes pricing for various email account packages ranging from 5 to 100 email accounts, with storage space of 10GB to 200GB. Additional features covered are anti-spam and virus protection, webmail access, email utilities, security features, and payment options including direct payment, bKash, bank transfer and PayPal. Contact information and office location are also specified.
Learn about Samsung KNOX Message, a business messaging app that enterprises and SMBs can use to collaborate conveniently and securely at anytime, from anywhere.
KNOX Message is a business messaging app that allows companies and SMBs to collaborate securely from anywhere at any time. It offers advanced encryption, IT admin controls, multi-device support across Android, iOS and Windows, and integrates with existing company systems. Key features include secure messaging, privacy controls, simple design, and the ability to sync conversations across multiple user devices.
LOGIN Indonesia provides a range of ICT solutions including hardware, software, and services. Their vision is to be a leader in ICT solutions and their mission is to provide complete, robust, effective, and efficient services. They offer products like workstations, servers, storage, networking equipment, and security solutions. They also provide services such as infrastructure maintenance, data center consulting, facilities management, telecom solutions for hotels and buildings, cellular signal enhancement, and ERP solutions.
Signify is a 12-year-old company that provides CRM software and services to help companies increase sales, profits, and customer loyalty. Their ready-to-use CRM package offers fast implementation, affordable pricing that is 80% cheaper than competitors, and scalability. It also boasts a stable platform with 100% uptime over the past two years. Signify's cloud-based CRM system empowers sales and service teams with features like field sales management, order management, service management, and mobile access.
Butler I.T. Office in the Cloud - Hosted PBX FeaturesKen Butler
The Butler I.T. Office in the Cloud includes many cloud features including Hosted PBX. The Hosted PBX system saves businesses about 50% from regular telephone company charges. It can be bundled with Exchange Email, MS Office 365, File Sharing, Security and much more.
T2M Cloud Complete is a fully managed communications solution delivered by Time2Market that provides telephony, conferencing, faxing, and collaboration tools through Microsoft Skype for Business and Office365. It allows customers of all sizes to simplify their IT while gaining benefits like mobility, familiar tools, reduced costs, automatic updates, and simple management through the T2M Cloud Portal. The portal gives administrators control over services like adding users, assigning licenses and policies, accessing billing, and getting support.
TIMControl is a new generation, 2.0 eLearning System (LMS/LCMS). As a Learning System is based on Company Knowledge and therefore offers more features and benefits or a regular Learning Management System. TIMControl assists and helps companies in the process of crafting effective learning communities.
TIMControl has many useful purposes. It is a training and communication tool which is used to evaluate staff and/or handle certifications.
Furthermore it is a powerful file management and sharing tool. TIMControl is supported by SoftControl, your trusted IT Partner since 1993 serving you and your Company in English, German and Thai language.
Multimedia Communication Server Frequently Asked QuestionsVideoguy
The document provides an overview of the Nortel Multimedia Communication Server (MCS) 5100, including descriptions of its key features and benefits for enterprises. The MCS 5100 is an application server that transforms enterprise communications by unifying voice, video, instant messaging, and other collaboration tools. It improves productivity and mobility while reducing costs. Some of its main features include audio and video conferencing, file sharing, whiteboarding, presence, and integration with soft clients for IBM Lotus Notes and Microsoft Outlook.
Tachyon provides high-speed internet access solutions for businesses, including local and international access, fiber optic backbone networks, and advanced monitoring and diagnostic tools. They offer additional features such as VPN and web hosting services. Tachyon relies on in-house and external monitoring to ensure customers remain hassle-free connected to the world.
Cloud Services: Net4 Business Productivity ServicesPallavi Vyas
The document summarizes various cloud-based communication and collaboration services provided by Net4, including hosted Microsoft Exchange, hosted call center solutions, audio/web conferencing, and email archiving. Net4 offers these services through a secure, scalable cloud platform with no large upfront investments needed. The services are designed to improve productivity, mobility, and collaboration for businesses while reducing costs.
Sukumar Reddy is seeking a challenging position utilizing his networking knowledge and experience. He has over 40 months experience in technical support roles including as a Lotus Domino and Exchange administrator. He is proficient in Windows, Exchange, Lotus Notes, Cisco switches and routers, and has certifications in Lotus Domino, Windows 7 deployment, and SCCM. His responsibilities have included server migrations, mail tracking, troubleshooting, and maintaining environments of over 2.9 lakh users.
1) One Net Specialists provides virtual landline, business phone systems, data sharing, and mobile device management services through products like One Net Express, One Net Business, Red Sharer, and Totally Managed Mobility.
2) One Net Business is a cloud-based phone system that combines office phones, mobiles, and voicemail into one system allowing calls to be made and received on any device.
3) The document provides information on the features and benefits of One Net Business including better customer engagement, connected employees, operational agility, and communication through integration of fixed and mobile networks.
Cirrus Hosting, proudly providing Canadian Linux Hosting since 1999. Our Data Center is protected by uninterruptible backup batteries to guarantee an uninterrupted service. Contact us today for more information on our Linux Website Hosting solutions. Plans starts from $3.5/mo.
https://www.cirrushosting.com/unix-linux-web-hosting-canada.html
UI5con 2024 - Boost Your Development Experience with UI5 Tooling ExtensionsPeter Muessig
The UI5 tooling is the development and build tooling of UI5. It is built in a modular and extensible way so that it can be easily extended by your needs. This session will showcase various tooling extensions which can boost your development experience by far so that you can really work offline, transpile your code in your project to use even newer versions of EcmaScript (than 2022 which is supported right now by the UI5 tooling), consume any npm package of your choice in your project, using different kind of proxies, and even stitching UI5 projects during development together to mimic your target environment.
Most important New features of Oracle 23c for DBAs and Developers. You can get more idea from my youtube channel video from https://youtu.be/XvL5WtaC20A
E-Invoicing Implementation: A Step-by-Step Guide for Saudi Arabian CompaniesQuickdice ERP
Explore the seamless transition to e-invoicing with this comprehensive guide tailored for Saudi Arabian businesses. Navigate the process effortlessly with step-by-step instructions designed to streamline implementation and enhance efficiency.
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
E-commerce Development Services- Hornet DynamicsHornet Dynamics
For any business hoping to succeed in the digital age, having a strong online presence is crucial. We offer Ecommerce Development Services that are customized according to your business requirements and client preferences, enabling you to create a dynamic, safe, and user-friendly online store.
SMS API Integration in Saudi Arabia| Best SMS API ServiceYara Milbes
Discover the benefits and implementation of SMS API integration in the UAE and Middle East. This comprehensive guide covers the importance of SMS messaging APIs, the advantages of bulk SMS APIs, and real-world case studies. Learn how CEQUENS, a leader in communication solutions, can help your business enhance customer engagement and streamline operations with innovative CPaaS, reliable SMS APIs, and omnichannel solutions, including WhatsApp Business. Perfect for businesses seeking to optimize their communication strategies in the digital age.
Transform Your Communication with Cloud-Based IVR SolutionsTheSMSPoint
Discover the power of Cloud-Based IVR Solutions to streamline communication processes. Embrace scalability and cost-efficiency while enhancing customer experiences with features like automated call routing and voice recognition. Accessible from anywhere, these solutions integrate seamlessly with existing systems, providing real-time analytics for continuous improvement. Revolutionize your communication strategy today with Cloud-Based IVR Solutions. Learn more at: https://thesmspoint.com/channel/cloud-telephony
UI5con 2024 - Keynote: Latest News about UI5 and it’s EcosystemPeter Muessig
Learn about the latest innovations in and around OpenUI5/SAPUI5: UI5 Tooling, UI5 linter, UI5 Web Components, Web Components Integration, UI5 2.x, UI5 GenAI.
Recording:
https://www.youtube.com/live/MSdGLG2zLy8?si=INxBHTqkwHhxV5Ta&t=0
When it is all about ERP solutions, companies typically meet their needs with common ERP solutions like SAP, Oracle, and Microsoft Dynamics. These big players have demonstrated that ERP systems can be either simple or highly comprehensive. This remains true today, but there are new factors to consider, including a promising new contender in the market that’s Odoo. This blog compares Odoo ERP with traditional ERP systems and explains why many companies now see Odoo ERP as the best choice.
What are ERP Systems?
An ERP, or Enterprise Resource Planning, system provides your company with valuable information to help you make better decisions and boost your ROI. You should choose an ERP system based on your company’s specific needs. For instance, if you run a manufacturing or retail business, you will need an ERP system that efficiently manages inventory. A consulting firm, on the other hand, would benefit from an ERP system that enhances daily operations. Similarly, eCommerce stores would select an ERP system tailored to their needs.
Because different businesses have different requirements, ERP system functionalities can vary. Among the various ERP systems available, Odoo ERP is considered one of the best in the ERp market with more than 12 million global users today.
Odoo is an open-source ERP system initially designed for small to medium-sized businesses but now suitable for a wide range of companies. Odoo offers a scalable and configurable point-of-sale management solution and allows you to create customised modules for specific industries. Odoo is gaining more popularity because it is built in a way that allows easy customisation, has a user-friendly interface, and is affordable. Here, you will cover the main differences and get to know why Odoo is gaining attention despite the many other ERP systems available in the market.
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.
1. Softnix Messaging Server Enterprise
Completed collaboration feature and support mobility
as, mobile Sync. and enterprise module such as
Management, Workflow, Newsletter, Custom Email
Custom Field Form, Ticket Support and more than 10
Softnix Messaging Server (SMS)
COMPLETED CLOUD INTEGRATION
TO INTERNAL MAIL SYSTEM
12 Fl., 731 PM Tower, Road Dindang, Dindang, Bangkok, Thailand, 10400
Tel. (66)02-245 4942-3 Fax. (66)02-245 4944, info@softnix.co.th, www.softnix.co.th
2. Softnix Messaging Server
Focus on your business,
We’ll manage your email
Softnix Technology Co.,Ltd.
12 Fl., 731 PM Tower, Road Dindang,Dindang, Bangkok, Thailand, 10400
Tel. (66)02-245 4942-3 Fax. (66)02-245 4944
info@softnix.co.th
More information http://www.softnix.co.th
Email Feature
• POP3,IMAP,POP3S, IMAPS, SMTP
• LDAP Directory, Active Directory
• Mailbox’s Quota Management
• Mail Relay Control, SMTP
Authentication
• Mail Aliases, Virtual Mailbox
• Email Queue Management
• Backup Mail, Restore
• Email Outbound Policy
• Email Content Filtering
• Email Routing Policy
• Support Multi Domain Unlimited
• Report Email Server
• Antivirus, Antispam (Optional)
Collaboration Feature
• Announcements
• Web Mail
• Calendar
• Address Book
• Task
• Note
• File Share
• Forum
• Project Management
• Custom Email Templates
• Newsletter
• Ticket Support
• Bookmark Manager
• Custom Fields
• Sync, Outlook,PDA,iPhone
• GnuPG Email Encryption
• Cal Dav , Web Dav
• Web CMS
• Wiki
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license.