This document provides an overview of MapR Technologies and their products. It discusses how MapR helps companies harness big data by providing an enterprise-grade distribution of Apache Hadoop that includes data protection, security, and high performance capabilities. It also highlights MapR partnerships with companies like Syncsort to provide data integration, migration, and analytics solutions that help customers derive more value from their data.
Big Data Education Webcast: Introducing DMX and DMX-h Release 8Precisely
Check out this webcast, where our Big Data product experts take you on a tour of the coolest features, complete with product demos. Tune in to learn how you can:
Future-proof your applications. Deploy the same data flows on or off of Hadoop, on premise or in the cloud, with no application changes
Save users from underlying complexities of Hadoop with our new Intelligence Execution Layer
Ingest data directly into Big Data formats such as Avro & Parquet – in one step & without staging
Load Apache Spark engines with mainframe data via a new, Cloudera-certified Spark mainframe connector
Turn raw data into powerful insights in just one click with our new connectors for QlikView and Tableau
Simplifying Big Data Integration with Syncsort DMX and DMX-hPrecisely
Today’s modern data strategies have to manage more than growing data volumes. They must also address the added complexity of integrating diverse data sources and types, adhere to security and governance mandates, and ensure the right tools and skills are in place to deliver business value from the data.
Learn how the latest enhancements to Syncsort DMX and DMX-h can help you achieve your modern data strategy goals with a single interface for accessing and integrating all your enterprise data sources – batch and streaming – across Hadoop, Spark, Linux, Windows or Unix – on premise or in the cloud.
Watch this on-demand customer education webcast to learn the latest product features introduced this year, including:
• Best in class data ingestion capabilities with enhanced support for mainframes, RDBMSs, MPP, Avro/Parquet, Kafka, NoSQL and more.
• Single interface for streaming and batch processes – now with support for Kafka and MapR Streams
• Secure data access, data governance and lineage with seamless integration with Kerberos, Apache Ranger, Apache Ambari, Cloudera Manager, Cloudera Navigator and Sentry.
• Evolution of our design once, deploy anywhere architecture – now with support for Spark!
Big Data Customer Education Webcast: The Latest Advancements in Syncsort DMX ...Precisely
Don’t wait! Get the ultimate in data agility with the software you own today!
While other data integration companies hold out the possibility of simplifying cross-platform data integration down the road… our customers have enjoyed these capabilities for close to two years! And our industry-leading Big Data integration software keeps getting better.
Join our upcoming customer education webcast to learn how the latest advancements in Syncsort DMX and DMX-h software empower your organization to get the maximum business value from your data – fast – on premise, or in the cloud.
In this webcast, we will cover important new features that help you speed development, adapt to the latest data management requirements, and leverage rapid innovation in Big Data technology, including:
• Unparalleled simplicity and flexibility to adapt to changing workloads and frameworks with our new Integrated Workflow capability and support for Spark 2.0.
• Enhanced Cloud capabilities – including support for more sources and integration with Cloudera Director
• Unprecedented data governance flexibility and choice with new open metadata management capabilities, as well as Apache Atlas integration
We will also preview exciting new integration with Syncsort’s industry-leading Trillium Data Quality software.
How to Succeed in Hadoop: comScore’s Deceptively Simple Secrets to Deploying ...MapR Technologies
Get an insider's view into one of the most talked-about Hadoop deployments in the world!
As more enterprises realize the value of big data, Hadoop is moving from lab curiosity to genuine competitive advantage. But how can you confidently deploy it in a production environment?
In this joint webinar with Syncsort, learn firsthand from industry thought leader, Mike Brown, CTO of comScore, how to offload critical data and optimize your enterprise data architecture with Hadoop to increase performance while lowering costs.
Data Engineer's Lunch #55: Get Started in Data EngineeringAnant Corporation
In Data Engineer's Lunch #55, CEO of Anant, Rahul Singh, will cover 10 resources every data engineer needs to get started or master their game.
Accompanying Blog: Coming Soon!
Accompanying YouTube: Coming Soon!
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Data Engineer’s Lunch Weekly at 12 PM EST Every Monday:
https://www.meetup.com/Data-Wranglers-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Email:
solutions@anant.us
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
Join The Anant Team:
https://www.careers.anant.us
Cortana Analytics Workshop: The "Big Data" of the Cortana Analytics Suite, Pa...MSAdvAnalytics
Lance Olson. Cortana Analytics is a fully managed big data and advanced analytics suite that helps you transform your data into intelligent action. Come to this two-part session to learn how you can do "big data" processing and storage in Cortana Analytics. In the first part, we will provide an overview of the processing and storage services. We will then talk about the patterns and use cases which make up most big data solutions. In the second part, we will go hands-on, showing you how to get started today with writing batch/interactive queries, real-time stream processing, or NoSQL transactions all over the same repository of data. Crunch petabytes of data by scaling out your computation power to any sized cluster. Store any amount of unstructured data in its native format with no limits to file or account size. All of this can be done with no hardware to acquire or maintain and minimal time to setup giving you the value of "big data" within minutes. Go to https://channel9.msdn.com/ to find the recording of this session.
Big Data Education Webcast: Introducing DMX and DMX-h Release 8Precisely
Check out this webcast, where our Big Data product experts take you on a tour of the coolest features, complete with product demos. Tune in to learn how you can:
Future-proof your applications. Deploy the same data flows on or off of Hadoop, on premise or in the cloud, with no application changes
Save users from underlying complexities of Hadoop with our new Intelligence Execution Layer
Ingest data directly into Big Data formats such as Avro & Parquet – in one step & without staging
Load Apache Spark engines with mainframe data via a new, Cloudera-certified Spark mainframe connector
Turn raw data into powerful insights in just one click with our new connectors for QlikView and Tableau
Simplifying Big Data Integration with Syncsort DMX and DMX-hPrecisely
Today’s modern data strategies have to manage more than growing data volumes. They must also address the added complexity of integrating diverse data sources and types, adhere to security and governance mandates, and ensure the right tools and skills are in place to deliver business value from the data.
Learn how the latest enhancements to Syncsort DMX and DMX-h can help you achieve your modern data strategy goals with a single interface for accessing and integrating all your enterprise data sources – batch and streaming – across Hadoop, Spark, Linux, Windows or Unix – on premise or in the cloud.
Watch this on-demand customer education webcast to learn the latest product features introduced this year, including:
• Best in class data ingestion capabilities with enhanced support for mainframes, RDBMSs, MPP, Avro/Parquet, Kafka, NoSQL and more.
• Single interface for streaming and batch processes – now with support for Kafka and MapR Streams
• Secure data access, data governance and lineage with seamless integration with Kerberos, Apache Ranger, Apache Ambari, Cloudera Manager, Cloudera Navigator and Sentry.
• Evolution of our design once, deploy anywhere architecture – now with support for Spark!
Big Data Customer Education Webcast: The Latest Advancements in Syncsort DMX ...Precisely
Don’t wait! Get the ultimate in data agility with the software you own today!
While other data integration companies hold out the possibility of simplifying cross-platform data integration down the road… our customers have enjoyed these capabilities for close to two years! And our industry-leading Big Data integration software keeps getting better.
Join our upcoming customer education webcast to learn how the latest advancements in Syncsort DMX and DMX-h software empower your organization to get the maximum business value from your data – fast – on premise, or in the cloud.
In this webcast, we will cover important new features that help you speed development, adapt to the latest data management requirements, and leverage rapid innovation in Big Data technology, including:
• Unparalleled simplicity and flexibility to adapt to changing workloads and frameworks with our new Integrated Workflow capability and support for Spark 2.0.
• Enhanced Cloud capabilities – including support for more sources and integration with Cloudera Director
• Unprecedented data governance flexibility and choice with new open metadata management capabilities, as well as Apache Atlas integration
We will also preview exciting new integration with Syncsort’s industry-leading Trillium Data Quality software.
How to Succeed in Hadoop: comScore’s Deceptively Simple Secrets to Deploying ...MapR Technologies
Get an insider's view into one of the most talked-about Hadoop deployments in the world!
As more enterprises realize the value of big data, Hadoop is moving from lab curiosity to genuine competitive advantage. But how can you confidently deploy it in a production environment?
In this joint webinar with Syncsort, learn firsthand from industry thought leader, Mike Brown, CTO of comScore, how to offload critical data and optimize your enterprise data architecture with Hadoop to increase performance while lowering costs.
Data Engineer's Lunch #55: Get Started in Data EngineeringAnant Corporation
In Data Engineer's Lunch #55, CEO of Anant, Rahul Singh, will cover 10 resources every data engineer needs to get started or master their game.
Accompanying Blog: Coming Soon!
Accompanying YouTube: Coming Soon!
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Data Engineer’s Lunch Weekly at 12 PM EST Every Monday:
https://www.meetup.com/Data-Wranglers-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Email:
solutions@anant.us
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
Join The Anant Team:
https://www.careers.anant.us
Cortana Analytics Workshop: The "Big Data" of the Cortana Analytics Suite, Pa...MSAdvAnalytics
Lance Olson. Cortana Analytics is a fully managed big data and advanced analytics suite that helps you transform your data into intelligent action. Come to this two-part session to learn how you can do "big data" processing and storage in Cortana Analytics. In the first part, we will provide an overview of the processing and storage services. We will then talk about the patterns and use cases which make up most big data solutions. In the second part, we will go hands-on, showing you how to get started today with writing batch/interactive queries, real-time stream processing, or NoSQL transactions all over the same repository of data. Crunch petabytes of data by scaling out your computation power to any sized cluster. Store any amount of unstructured data in its native format with no limits to file or account size. All of this can be done with no hardware to acquire or maintain and minimal time to setup giving you the value of "big data" within minutes. Go to https://channel9.msdn.com/ to find the recording of this session.
Hadoop and NoSQL joining forces by Dale Kim of MapRData Con LA
More and more organizations are turning to Hadoop and NoSQL to manage big data. In fact, many IT professionals consider each of those terms to be synonymous with big data. At the same time, these two technologies are seen as different beasts that handle different challenges. That means they are often deployed in a rather disjointed way, even when intended to solve the same overarching business problem. The emerging trend of “in-Hadoop databases” promises to narrow the deployment gap between them and enable new enterprise applications. In this talk, Dale will describe that integrated architecture and how customers have deployed it to benefit both the technical and the business teams.
Startup Case Study: Leveraging the Broad Hadoop Ecosystem to Develop World-Fi...DataWorks Summit
Back in 2014, our team set out to change the way the world exchanges and collaborates with data. Our vision was to build a single tenant environment for multiple organisations to securely share and consume data. And we did just that, leveraging multiple Hadoop technologies to help our infrastructure scale quickly and securely.
Today Data Republic’s technology delivers a trusted platform for hundreds of enterprise level companies to securely exchange, commercialise and collaborate with large datasets.
Join Head of Engineering, Juan Delard de Rigoulières and Senior Solutions Architect, Amin Abbaspour as they share key lessons from their team’s journey with Hadoop:
* How a startup leveraged a clever combination of Hadoop technologies to build a secure data exchange platform
* How Hadoop technologies helped us deliver key solutions around governance, security and controls of data and metadata
* An evaluation on the maturity and usefulness of some Hadoop technologies in our environment: Hive, HDFS, Spark, Ranger, Atlas, Knox, Kylin: we've use them all extensively.
* Our bold approach to expose APIs directly to end users; as well as the challenges, learning and code we created in the process
* Learnings from the front-line: How our team coped with code changes, performance tuning, issues and solutions while building our data exchange
Whether you’re an enterprise level business or a start-up looking to scale - this case study discussion offers behind-the-scenes lessons and key tips when using Hadoop technologies to manage data governance and collaboration in the cloud.
Speakers:
Juan Delard De Rigoulieres, Head of Engineering, Data Republic Pty Ltd
Amin Abbaspour, Senior Solutions Architect, Data Republic
Seamless, Real-Time Data Integration with ConnectPrecisely
As many of our customers have come to learn - integrating legacy data into modern data architecture is easier said than done! View this on-demand webinar to learn all about Precisely's seamless data integration solutions and how they have helped thousands of customers like you trust their data.
Learn about the two flavors of Precisely's Connect:
• Collect, prepare, transform and load your data to various targets using Connect ETL with the flexibility of using clusters and running on many different environments. With our 'design once, deploy anywhere' feature; what is built on prem today, can run on a cloud platform tomorrow with no development or mainframe expertise required.
• Capture data changes in real-time with no coding, tuning or performance impact using Connect CDC. Replicating exactly WHAT you need and HOW you need it with over 80 built-in data transformation methods.
Cortana Analytics Workshop: The "Big Data" of the Cortana Analytics Suite, Pa...MSAdvAnalytics
Lance Olson. Cortana Analytics is a fully managed big data and advanced analytics suite that helps you transform your data into intelligent action. Come to this two-part session to learn how you can do "big data" processing and storage in Cortana Analytics. In the first part, we will provide an overview of the processing and storage services. We will then talk about the patterns and use cases which make up most big data solutions. In the second part, we will go hands-on, showing you how to get started today with writing batch/interactive queries, real-time stream processing, or NoSQL transactions all over the same repository of data. Crunch petabytes of data by scaling out your computation power to any sized cluster. Store any amount of unstructured data in its native format with no limits to file or account size. All of this can be done with no hardware to acquire or maintain and minimal time to setup giving you the value of "big data" within minutes. Go to https://channel9.msdn.com/ to find the recording of this session.
Today enterprises desire to move more and more of their data lakes to the cloud to help them execute faster, increase productivity, drive innovation while leveraging the scale and flexibility of the cloud. However, such gains come with risks and challenges in the areas of data security, privacy, and governance. In this talk we cover how enterprises can overcome governance and security obstacles to leverage these new advances that the cloud can provide to ease the management of their data lakes in the cloud. We will also show how the enterprise can have consistent governance and security controls in the cloud for their ephemeral analytic workloads in a multi-cluster cloud environment without sacrificing any of the data security and privacy/compliance needs that their business context demands. Additionally, we will outline some use cases and patterns as well as best practices to rationally manage such a multi-cluster data lake infrastructure in the cloud.
Speaker:
Jeff Sposetti, Product Management, Hortonworks
Big Data Q2 Customer Education Webcast: New DMX Change Data Capture for Hadoo...Precisely
Watch our latest quarterly customer education webcast to learn about the latest advancements in Syncsort DMX and DMX-h data integration software, including our new product DMX Change Data Capture (CDC).
Many of our customers use DMX-h to quickly and efficiently populate their data lakes with enterprise-wide data, to power a variety of use cases, including data as a service, data archiving, fraud detection, and Customer 360. But, as important as it is to populate the data lake, it’s equally important to keep that data current for accurate decision making.
DMX Change Data Capture makes it easy and efficient to keep your data lake fresh after the initial load with real-time data replication that continually applies changes made on your traditional systems to your cluster.
Key trends in Big Data and new reference architecture from Hewlett Packard En...Ontico
Динамичное развитие инструментов для обработки Больших Данных порождает новые подходы к повышению производительности. Ключевые новые технологии в Hadoop 2.0, такие как Yarn labeling и Storage Tiering, уже используются компаниями Yahoo и Ebay. Эти новые технологии открывают путь для серьезного повышения эффективности ИТ-инфраструктуры для Hadoop, достигая прироста производительности в несколько десятков процентов при одновременном снижении потребления памяти и электроэнергии.
Эталонная архитектура для Hadoop от HP — HP Big Data Reference Architecture — предлагает использование специализированных "микросерверов" HP Moonshot вкупе с высокоплотными узлами хранения HP Apollo для достижения лучших на сегодня показателей полезной отдачи от железа в Hadoop.
This Big Data case study outlines the Hadoop infrastructure deployment for a Fortune 100 media and telecommunications company.
Hadoop adoption in this company had grown organically across multiple different teams, starting with “science projects” and lab initiatives that quickly grew and expanded. Going forward, some of the options they considered for their Big Data deployment included expanding their on-premises infrastructure and using a Hadoop-as-a-Service cloud offering.
Fortunately, they realized that there is a third option: providing the benefits of Hadoop-as-a-Service with on-premises infrastructure. They selected the BlueData EPIC software platform to virtualize their Hadoop infrastructure and provide on-demand access to virtual Hadoop clusters in a secure, multi-tenant model.
Learn more about this case study in the blog post at: http://www.bluedata.com/blog/2015/05/big-data-case-study-hadoop-infrastructure
Protect your Private Data in your Hadoop Clusters with ORC Column EncryptionDataWorks Summit
Fine-grained data protection at a column level in data lake environments has become a mandatory requirement to demonstrate compliance with multiple local and international regulations across many industries today. ORC is a self-describing type-aware columnar file format designed for Hadoop workloads that provides optimized streaming reads, but with integrated support for finding required rows quickly. In this talk, we will outline the progress made in Apache community for adding fine-grained column level encryption natively into ORC format that will also provide capabilities to mask or redact data on write while protecting sensitive column metadata such as statistics to avoid information leakage. The column encryption capabilities will be fully compatible with Hadoop Key Management Server (KMS) and use the KMS to manage master keys providing the additional flexibility to use and manage keys per column centrally. An end to end scenario that demonstrates how this capability can be leveraged will be also demonstrated.
Addressing Enterprise Customer Pain Points with a Data Driven ArchitectureDataWorks Summit
Customers that are implementing Big Data Analytics projects in enterprise environments driven by line of business applications are faced with the three critical issues of Managing Complexity, Data Movement and Replication, and Cloud Integration. In this session you will learn about the characteristics of these pain points and how designing and implementing a data driven approach enables enterprises to implement quickly and efficiently with a future proof architecture of hybrid cloud.
In Cassandra Lunch #88, CEO of Anant, Rahul Singh, will discuss how Cadence works on top of Cassandra to provide workflow management at scale and Cadence architecture in the context of SAGA Patterns
Accompanying Blog: Coming Soon!
Accompanying YouTube: https://youtu.be/YPPPM0F0xw0
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
https://github.com/Anant/Cassandra.Lunch
Email:
solutions@anant.us
LinkedIn:
https://www.linkedin.com/company/anant/
Twitter:
https://twitter.com/anantcorp
Eventbrite:
https://www.eventbrite.com/o/anant-1072927283
Facebook:
https://www.facebook.com/AnantCorp/
Join The Anant Team:
https://www.careers.anant.us
Integrating Hadoop into your enterprise IT environmentMapR Technologies
http://bit.ly/1M8gzAM – As the old saying goes, "it's not what you do, but how you do it" that makes all the difference. The benefits of Hadoop are well-documented as mainstream adoption continues to grow. However, as with any new technology, integrating Hadoop with your existing data management infrastructure is crucial for getting the maximum value from its capabilities.
Join us for a special roundtable webcast on July 10th to learn how to do it the right way. Gain a deeper understanding of the fundamentals of Hadoop and its growing ecosystem, the key considerations for modifying your current data management practices and the types of Big Data applications you'll be able to build.
Hadoop and NoSQL joining forces by Dale Kim of MapRData Con LA
More and more organizations are turning to Hadoop and NoSQL to manage big data. In fact, many IT professionals consider each of those terms to be synonymous with big data. At the same time, these two technologies are seen as different beasts that handle different challenges. That means they are often deployed in a rather disjointed way, even when intended to solve the same overarching business problem. The emerging trend of “in-Hadoop databases” promises to narrow the deployment gap between them and enable new enterprise applications. In this talk, Dale will describe that integrated architecture and how customers have deployed it to benefit both the technical and the business teams.
Startup Case Study: Leveraging the Broad Hadoop Ecosystem to Develop World-Fi...DataWorks Summit
Back in 2014, our team set out to change the way the world exchanges and collaborates with data. Our vision was to build a single tenant environment for multiple organisations to securely share and consume data. And we did just that, leveraging multiple Hadoop technologies to help our infrastructure scale quickly and securely.
Today Data Republic’s technology delivers a trusted platform for hundreds of enterprise level companies to securely exchange, commercialise and collaborate with large datasets.
Join Head of Engineering, Juan Delard de Rigoulières and Senior Solutions Architect, Amin Abbaspour as they share key lessons from their team’s journey with Hadoop:
* How a startup leveraged a clever combination of Hadoop technologies to build a secure data exchange platform
* How Hadoop technologies helped us deliver key solutions around governance, security and controls of data and metadata
* An evaluation on the maturity and usefulness of some Hadoop technologies in our environment: Hive, HDFS, Spark, Ranger, Atlas, Knox, Kylin: we've use them all extensively.
* Our bold approach to expose APIs directly to end users; as well as the challenges, learning and code we created in the process
* Learnings from the front-line: How our team coped with code changes, performance tuning, issues and solutions while building our data exchange
Whether you’re an enterprise level business or a start-up looking to scale - this case study discussion offers behind-the-scenes lessons and key tips when using Hadoop technologies to manage data governance and collaboration in the cloud.
Speakers:
Juan Delard De Rigoulieres, Head of Engineering, Data Republic Pty Ltd
Amin Abbaspour, Senior Solutions Architect, Data Republic
Seamless, Real-Time Data Integration with ConnectPrecisely
As many of our customers have come to learn - integrating legacy data into modern data architecture is easier said than done! View this on-demand webinar to learn all about Precisely's seamless data integration solutions and how they have helped thousands of customers like you trust their data.
Learn about the two flavors of Precisely's Connect:
• Collect, prepare, transform and load your data to various targets using Connect ETL with the flexibility of using clusters and running on many different environments. With our 'design once, deploy anywhere' feature; what is built on prem today, can run on a cloud platform tomorrow with no development or mainframe expertise required.
• Capture data changes in real-time with no coding, tuning or performance impact using Connect CDC. Replicating exactly WHAT you need and HOW you need it with over 80 built-in data transformation methods.
Cortana Analytics Workshop: The "Big Data" of the Cortana Analytics Suite, Pa...MSAdvAnalytics
Lance Olson. Cortana Analytics is a fully managed big data and advanced analytics suite that helps you transform your data into intelligent action. Come to this two-part session to learn how you can do "big data" processing and storage in Cortana Analytics. In the first part, we will provide an overview of the processing and storage services. We will then talk about the patterns and use cases which make up most big data solutions. In the second part, we will go hands-on, showing you how to get started today with writing batch/interactive queries, real-time stream processing, or NoSQL transactions all over the same repository of data. Crunch petabytes of data by scaling out your computation power to any sized cluster. Store any amount of unstructured data in its native format with no limits to file or account size. All of this can be done with no hardware to acquire or maintain and minimal time to setup giving you the value of "big data" within minutes. Go to https://channel9.msdn.com/ to find the recording of this session.
Today enterprises desire to move more and more of their data lakes to the cloud to help them execute faster, increase productivity, drive innovation while leveraging the scale and flexibility of the cloud. However, such gains come with risks and challenges in the areas of data security, privacy, and governance. In this talk we cover how enterprises can overcome governance and security obstacles to leverage these new advances that the cloud can provide to ease the management of their data lakes in the cloud. We will also show how the enterprise can have consistent governance and security controls in the cloud for their ephemeral analytic workloads in a multi-cluster cloud environment without sacrificing any of the data security and privacy/compliance needs that their business context demands. Additionally, we will outline some use cases and patterns as well as best practices to rationally manage such a multi-cluster data lake infrastructure in the cloud.
Speaker:
Jeff Sposetti, Product Management, Hortonworks
Big Data Q2 Customer Education Webcast: New DMX Change Data Capture for Hadoo...Precisely
Watch our latest quarterly customer education webcast to learn about the latest advancements in Syncsort DMX and DMX-h data integration software, including our new product DMX Change Data Capture (CDC).
Many of our customers use DMX-h to quickly and efficiently populate their data lakes with enterprise-wide data, to power a variety of use cases, including data as a service, data archiving, fraud detection, and Customer 360. But, as important as it is to populate the data lake, it’s equally important to keep that data current for accurate decision making.
DMX Change Data Capture makes it easy and efficient to keep your data lake fresh after the initial load with real-time data replication that continually applies changes made on your traditional systems to your cluster.
Key trends in Big Data and new reference architecture from Hewlett Packard En...Ontico
Динамичное развитие инструментов для обработки Больших Данных порождает новые подходы к повышению производительности. Ключевые новые технологии в Hadoop 2.0, такие как Yarn labeling и Storage Tiering, уже используются компаниями Yahoo и Ebay. Эти новые технологии открывают путь для серьезного повышения эффективности ИТ-инфраструктуры для Hadoop, достигая прироста производительности в несколько десятков процентов при одновременном снижении потребления памяти и электроэнергии.
Эталонная архитектура для Hadoop от HP — HP Big Data Reference Architecture — предлагает использование специализированных "микросерверов" HP Moonshot вкупе с высокоплотными узлами хранения HP Apollo для достижения лучших на сегодня показателей полезной отдачи от железа в Hadoop.
This Big Data case study outlines the Hadoop infrastructure deployment for a Fortune 100 media and telecommunications company.
Hadoop adoption in this company had grown organically across multiple different teams, starting with “science projects” and lab initiatives that quickly grew and expanded. Going forward, some of the options they considered for their Big Data deployment included expanding their on-premises infrastructure and using a Hadoop-as-a-Service cloud offering.
Fortunately, they realized that there is a third option: providing the benefits of Hadoop-as-a-Service with on-premises infrastructure. They selected the BlueData EPIC software platform to virtualize their Hadoop infrastructure and provide on-demand access to virtual Hadoop clusters in a secure, multi-tenant model.
Learn more about this case study in the blog post at: http://www.bluedata.com/blog/2015/05/big-data-case-study-hadoop-infrastructure
Protect your Private Data in your Hadoop Clusters with ORC Column EncryptionDataWorks Summit
Fine-grained data protection at a column level in data lake environments has become a mandatory requirement to demonstrate compliance with multiple local and international regulations across many industries today. ORC is a self-describing type-aware columnar file format designed for Hadoop workloads that provides optimized streaming reads, but with integrated support for finding required rows quickly. In this talk, we will outline the progress made in Apache community for adding fine-grained column level encryption natively into ORC format that will also provide capabilities to mask or redact data on write while protecting sensitive column metadata such as statistics to avoid information leakage. The column encryption capabilities will be fully compatible with Hadoop Key Management Server (KMS) and use the KMS to manage master keys providing the additional flexibility to use and manage keys per column centrally. An end to end scenario that demonstrates how this capability can be leveraged will be also demonstrated.
Addressing Enterprise Customer Pain Points with a Data Driven ArchitectureDataWorks Summit
Customers that are implementing Big Data Analytics projects in enterprise environments driven by line of business applications are faced with the three critical issues of Managing Complexity, Data Movement and Replication, and Cloud Integration. In this session you will learn about the characteristics of these pain points and how designing and implementing a data driven approach enables enterprises to implement quickly and efficiently with a future proof architecture of hybrid cloud.
In Cassandra Lunch #88, CEO of Anant, Rahul Singh, will discuss how Cadence works on top of Cassandra to provide workflow management at scale and Cadence architecture in the context of SAGA Patterns
Accompanying Blog: Coming Soon!
Accompanying YouTube: https://youtu.be/YPPPM0F0xw0
Sign Up For Our Newsletter: http://eepurl.com/grdMkn
Join Cassandra Lunch Weekly at 12 PM EST Every Wednesday: https://www.meetup.com/Cassandra-DataStax-DC/events/
Cassandra.Link:
https://cassandra.link/
Follow Us and Reach Us At:
Anant:
https://www.anant.us/
Awesome Cassandra:
https://github.com/Anant/awesome-cassandra
Cassandra.Lunch:
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solutions@anant.us
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Join The Anant Team:
https://www.careers.anant.us
Integrating Hadoop into your enterprise IT environmentMapR Technologies
http://bit.ly/1M8gzAM – As the old saying goes, "it's not what you do, but how you do it" that makes all the difference. The benefits of Hadoop are well-documented as mainstream adoption continues to grow. However, as with any new technology, integrating Hadoop with your existing data management infrastructure is crucial for getting the maximum value from its capabilities.
Join us for a special roundtable webcast on July 10th to learn how to do it the right way. Gain a deeper understanding of the fundamentals of Hadoop and its growing ecosystem, the key considerations for modifying your current data management practices and the types of Big Data applications you'll be able to build.
Apache Hadoop and its role in Big Data architecture - Himanshu Barijaxconf
In today’s world of exponentially growing big data, enterprises are becoming increasingly more aware of the business utility and necessity of harnessing, storing and analyzing this information. Apache Hadoop has rapidly evolved to become a leading platform for managing and processing big data, with the vital management, monitoring, metadata and integration services required by organizations to glean maximum business value and intelligence from their burgeoning amounts of information on customers, web trends, products and competitive markets. In this session, Hortonworks' Himanshu Bari will discuss the opportunities for deriving business value from big data by looking at how organizations utilize Hadoop to store, transform and refine large volumes of this multi-structured information. Connolly will also discuss the evolution of Apache Hadoop and where it is headed, the component requirements of a Hadoop-powered platform, as well as solution architectures that allow for Hadoop integration with existing data discovery and data warehouse platforms. In addition, he will look at real-world use cases where Hadoop has helped to produce more business value, augment productivity or identify new and potentially lucrative opportunities.
MongoDB IoT City Tour STUTTGART: Hadoop and future data management. By, ClouderaMongoDB
Bernard Doering, Senior Slaes Director DACH, Cloudera.
Hadoop and the Future of Data Management. As Hadoop takes the data management market by storm, organisations are evolving the role it plays in the modern data centre. Explore how this disruptive technology is quickly transforming an industry and how you can leverage it today, in combination with MongoDB, to drive meaningful change in your business.
Starting Small and Scaling Big with Hadoop (Talend and Hortonworks webinar)) ...Hortonworks
No matter if you are new to Hadoop or have a mature cluster in production, scale will be a critical factor of your success with Hadoop. Are you ready to take the next big step as you scale out your data architecture?
Talend and Hortonworks discuss where we will help you learn how to implement an effective big data and Hadoop strategy across your IT infrastructure. You will learn:
How to grow a pilot into production
How to scale-out architecture & systems affordably
How to leverage the flexibility of Hadoop to optimize your data integration processes
Recording: http://www.talend.com/resources/webinars/starting-small-and-scaling-big-with-hadoop
Learn how when an organizations combine HP and Vertica Analytics Platform and Hortonworks, they can quickly explore and analyze broad variety of data types to transform to actionable information that allows them to better understand how their customers and site visitors interact with their business, offline and online.
Fast and Furious: From POC to an Enterprise Big Data Stack in 2014MapR Technologies
View this webinar presentation as CenturyLink Technology Solutions (Formerly Savvis) and MapR as we deconstruct and demystify “the enterprise big data stack.” We provide you with a more holistic view of the landscape, explore use cases to show how you can derive business value from it, and share best practices for navigating through the fragmented big data environment.
CON6619 - OpenWorld Presentation. Oracle data integration, big data, data governance, and cloud integration. Replication, ETL, Data Quality, Streaming Big Data, and Data Preparation
Hadoop Reporting and Analysis - JaspersoftHortonworks
Hadoop is deployed for a variety of uses, including web analytics, fraud detection, security monitoring, healthcare, environmental analysis, social media monitoring, and other purposes.
Verizon Centralizes Data into a Data Lake in Real Time for AnalyticsDataWorks Summit
Verizon – Global Technology Services (GTS) was challenged by a multi-tier, labor-intensive process when trying to migrate data from disparate sources into a data lake to create financial reports and business insights. Join this session to learn more about how Verizon:
• Easily accessed data from multiple sources including SAP data
• Ingested data into major targets including Hadoop
• Achieved real-time insights from data leveraging change data capture (CDC) technology
• Reduced costs and labor
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
A Comprehensive Approach to Building your Big Data - with Cisco, Hortonworks ...Hortonworks
Companies in every industry look for ways to explore new data types and large data sets that were previously too big to capture, store and process. They need to unlock insights from data such as clickstream, geo-location, sensor, server log, social, text and video data. However, becoming a data-first enterprise comes with many challenges.
Join this webinar organized by three leaders in their respective fields and learn from our experts how you can accelerate the implementation of a scalable, cost-efficient and robust Big Data solution. Cisco, Hortonworks and Red Hat will explore how new data sets can enrich existing analytic applications with new perspectives and insights and how they can help you drive the creation of innovative new apps that provide new value to your business.
Boost Performance with Scala – Learn From Those Who’ve Done It! Cécile Poyet
Scalding is a scala DSL for Cascading. Run on Hadoop, it’s a concise, functional, and very efficient way to build big data applications. One significant benefit of Scalding is that it allows easy porting of Scalding apps from MapReduce to newer, faster execution fabrics.
In this webinar, Cyrille Chépélov, of Transparency Rights Management, will share how his organization boosted the performance of their Scalding apps by over 50% by moving away from MapReduce to Cascading 3.0 on Apache Tez. Dhruv Kumar, Hortonworks Partner Solution Engineer, will then explain how you can interact with data on HDP using Scala and leverage Scala as a programming language to develop Big Data applications.
Similar to How Experian increased insights with Hadoop (20)
AI-Ready Data - The Key to Transforming Projects into Production.pptxPrecisely
Moving AI projects from the laboratory to production requires careful consideration of data preparation. Join us for a fireside chat where industry experts, including Antonio Cotroneo (Director, Product Marketing, Precisely) and Sanjeev Mohan (Principal, SanjMo), will discuss the crucial role of AI-ready data in achieving success in AI projects. Gain essential insights and considerations to ensure your AI solutions are built on a solid foundation of accurate, consistent, and context-rich data. Explore practical insights and learn how data integrity drives innovation and competitive advantage. Transform your approach to AI with a focus on data readiness.
Building a Multi-Layered Defense for Your IBM i SecurityPrecisely
In today's challenging security environment, new vulnerabilities emerge daily, leaving even patched systems exposed. While IBM works tirelessly to release fixes as they discover vulnerabilities, bad actors are constantly innovating. Don't settle for reactive defense – secure your IT with a layered approach!
This holistic strategy builds multiple security walls, making it far harder for attackers to breach your defenses. Even if a certain vulnerability is exploited, one of the controls could stop the attack or at least delay it until you can take action.
Join us for this webcast to hear about:
• How security risks continue to evolve and change
• The importance of keeping all your systems patched an up-to-date
• A multi-layered approach to network, system object and data security
Navigating the Cloud: Best Practices for Successful MigrationPrecisely
In today's digital landscape, migrating workloads and applications to the cloud has become imperative for businesses seeking scalability, flexibility, and efficiency. However, executing a seamless transition requires strategic planning and careful execution. Join us as we delve into the insightful insights around cloud migration, where we will explore three key topics:
i. Considerations to take when planning for cloud migration
ii. Best practices for successfully migrating to the cloud
iii. Real-world customer stories
Unlocking the Power of Your IBM i and Z Security Data with Google ChroniclePrecisely
In today's ever-evolving threat landscape, any siloed systems, or data leave organizations vulnerable. This is especially true when mission-critical systems like IBM i and IBM Z mainframes are not included in your security planning. Valuable security data from these systems often remains isolated, hindering your ability to detect and respond to threats effectively.
Ironstream and bridge this gap for IBM systems by integrating the important security data from these mission-critical systems into Google Chronicle where it can be seen, analyzed and correlated with the data from other enterprise systems Here's what you'll learn:
• The unique challenges of securing IBM i and Z mainframes
• Why traditional security tools fall short for mainframe data
• The power of Google Chronicle for unified security intelligence
• How to gain comprehensive visibility into your entire IT ecosystem
• Real-world use cases for integrating IBM i and Z security data with Google Chronicle
Join us for this webcast to hear about:
• The unique challenges of securing IBM i and IBM Z systems
• Real-world use cases for integrating IBM i and IBM Z security data with Google Chronicle
• Combining Ironstream and Google Chronicle to deliver faster threat detection, investigation, and response times
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
Are you considering leveraging the cloud alongside your existing IBM AIX and IBM I systems infrastructure? There are likely benefits to be realized in scalability, flexibility and even cost.
However, to realize these benefits, you need to be aware of the challenges and opportunities that come with integrating your IBM Power Systems in the cloud. These challenges range from data synchronization to testing to planning for fallback in the event of problems.
Join us for this webcast to hear about:
• Seamless migration strategies
• Best practices for operating in the cloud
• Benefits of cloud-based HA/DR for IBM AIX and IBM i
It can be challenging display and share capacity data that is meaningful to end users. There is an overabundance of data points related to capacity, and the summarization of this data is difficult to construct and display.
You are already spending time and money to handle the critical need to manage systems capacity, performance and estimate future needs. Are you it spending wisely? Are you getting the level of results from your investment that you really need? Can you prove it?
The good news is that the return on investment of implementing capacity management and capacity planning is most definitely positive and provable, both in terms of tangible monetary value and in some less tangible but no-less-valuable benefits.
Join us for this webinar and learn:
• Top Trends in Capacity Management
• Common customer pain points
• Ways to demonstrate these benefits to your company
Automate Studio Training: Materials Maintenance Tips for Efficiency and Ease ...Precisely
Ready to improve efficiency, provide easy to use data automations and take materials master (MM) data maintenance to the next level?
Find out how during our Automate Studio training on March 28 – led by Sigrid Kok, Principal Sales Engineer, and Isra Azam, Sales Engineer, at Precisely.
This session’s for you if you want to discover the best approaches for creating, extending or maintaining different types of materials, as well as automating the tricky parts of these processes that slow you down.
Greater control over your Automate Studio business processes means bigger, better results. We’ll show you how to enable your business users to interact with SAP from Microsoft Office and other familiar platforms – resulting in more efficient SAP data management, along with improved data integrity and accuracy.
This 90-minute session will be filled with a variety of topics, including:
real world approaches for creating multiple types of materials, balancing flexibility and power with simplicity and ease of use
tips on material creation, including
downloading the generated material number
using formulas to format prior to upload, such as capitalization or zero padding to make it easy to get the data right the first time
conditionally require fields based on other field entries
using LOV for fields that are free form entry for standard values
tips on modifying alternate units of measure, building from scratch using GUI scripting
modify multiple language descriptions, build from scratch using a standard BAPI
make end-to-end MM process flows more of a reality with features including APIs and predictive AI
Through these topics, you’ll gain plenty of actionable takeaways that you can start implementing right away – including how to:
improve your data integrity and accuracy
make scripts flexible and usable for automation users
seamlessly handle both simple and complex parts of material master
interact with SAP from both business user and script developers’ perspectives
easily upload and download data between SAP and Excel – and how to format the data before upload using simple formulas
You’ll leave this session feeling ready and empowered to save time, boost efficiency, and change the way you work.
Automate Studio reduces your dependency on technical resources to help you create automation scenarios – and our team of experts is here to make sure you get the most out of our solution throughout the journey.
Questions? Sigrid & Isra will be ready to answer them during a live Q&A at the end of the session.
Who should attend:
Attendees who will get the most out of this session are Automate Studio developers and runners familiar with SAP MM. Knowledge of Automate Studio script creation is nice to have, but not required.
Leveraging Mainframe Data in Near Real Time to Unleash Innovation With Cloud:...Precisely
Join us for an insightful roundtable discussion featuring experts from AWS, Confluent, and Precisely as they delve into the complexities and opportunities of migrating mainframe data to the cloud.
In this engaging webinar, participants will learn about the various considerations, strategies, and customer challenges associated with replicating mainframe data to cloud environments.
Our panelists will share practical insights, real-world experiences, and best practices to help organizations successfully navigate this transformative journey.
Whether you're considering migrating and modernizing your mainframe applications to cloud, or augmenting mainframe-based applications with data replication to cloud, this roundtable will provide valuable perspectives and insights to maximize the benefits of migrating mainframe data to the cloud.
Join us on March 27 to gain a deeper understanding of the opportunities and challenges in this evolving landscape.
Data Innovation Summit: Data Integrity TrendsPrecisely
Data integrity remains an evolving process of discovery, identification, and resolution. With an all-time low in public confidence on data being used for decision-making, attention has gradually shifted to data quality and data integration across multiple systems and frameworks. Data integrity becomes a focal point again for companies to make strategic moves in a world facing an evolving economy.
Key takeaways:
· How to build a data-driven culture within your organization
· Tips to engage with key stakeholders in your business and examples from other businesses around the world
· How to establish and maintain a business-first approach to data governance
· A summary of the findings from a recent survey of global data executives by Drexel University's LeBow College of Business
AI You Can Trust - Ensuring Success with Data Integrity WebinarPrecisely
Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context.
Attend our upcoming webinar, "AI You Can Trust: Ensuring Success with Data Integrity," as we explore organizational challenges in maintaining data integrity for AI applications and real-world use cases showcasing the transformative impact of high-integrity data on AI success.
During this panel discussion, we'll highlight everything from personalized recommendations and AI-powered workflows to machine learning applications and innovative AI assistants.
Key Topics:
AI Use Cases with Data Integrity: Discover how data integrity shapes the success of AI applications through six compelling use cases.
Solving AI Challenges: Uncover practical solutions to common AI challenges such as bias, unreliable results, lack of contextual relevance, and inadequate data security.
Three Considerations of Data Integrity for AI: Learn the essential pillars—complete, trusted, and contextual—that underpin data integrity for AI success.
Precisely and AWS Partnership: Explore how the collaboration between Precisely and Amazon Web Services (AWS) addresses these challenges and empowers organizations to achieve AI-ready data.
Join our panelists to unlock the full potential of AI by starting your data integrity journey today. Trust in AI begins with trusted data – let's future-proof your AI together.
Less Bias. More Accurate. Relevant Outcomes.
Optimisez la fonction financière en automatisant vos processus SAPPrecisely
La fonction finance est au cœur du succès de l’entreprise, et doit aussi évoluer pour faire face aux enjeux d’aujourd’hui : aller plus vite, traiter plus d’informations et assurer une qualité des données sans faille.
Nous vous proposons de découvrir ensemble comment répondre à ces défis, notamment les points suivants :
Gérer les référentiels comptables et financiers, comptes comptables, clients, fournisseurs, centres de couts, centres de profits…Accélérer les clôtures et permettre de passer les écritures comptables nécessaires, de lancer les rapports adéquats et d’extraire les informations en temps réelOrganiser les taches en les affectant de manière ordonnancée à leurs responsables ou en les lançant automatiquement et les suivre de manière granulaire
Notre webinaire sera l’occasion d’évoquer et d’illustrer cette palette de capacités disponibles pour des utilisateurs métier sans code ou avec peu de code et nous vous espérons nombreux.
In dieser Präsentation diskutieren wir, welche Tools aus unserer Sicht dabei helfen, die Transformation zu SAP S/4HANA optimal zu gestalten. Aber wir blicken auch nach vorne!
In unserem Beitrag fokussieren wir uns nicht nur auf kurzfristige Lösungen, sondern es geht auch um das Thema „Nachhaltigkeit“. Um Investitionen für die Zukunft.
Dazu gehören Entwicklungen, die die SAP Welt nachhaltig verändern werden.
Wir betrachten zukünftige Technologien, wie KI oder Machine Learning, die dazu beitragen, datenintensive SAP Prozesse zu optimieren, die Datenqualität zu verbessern, manuelle Prozesse zu reduzieren und Mitarbeiter zu entlasten.
Werfen Sie mit uns einen Blick in die Zukunft und gestalten Sie die digitale Transformation in Ihrem Unternehmen mit.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Why React Native as a Strategic Advantage for Startup Innovation.pdfayushiqss
Do you know that React Native is being increasingly adopted by startups as well as big companies in the mobile app development industry? Big names like Facebook, Instagram, and Pinterest have already integrated this robust open-source framework.
In fact, according to a report by Statista, the number of React Native developers has been steadily increasing over the years, reaching an estimated 1.9 million by the end of 2024. This means that the demand for this framework in the job market has been growing making it a valuable skill.
But what makes React Native so popular for mobile application development? It offers excellent cross-platform capabilities among other benefits. This way, with React Native, developers can write code once and run it on both iOS and Android devices thus saving time and resources leading to shorter development cycles hence faster time-to-market for your app.
Let’s take the example of a startup, which wanted to release their app on both iOS and Android at once. Through the use of React Native they managed to create an app and bring it into the market within a very short period. This helped them gain an advantage over their competitors because they had access to a large user base who were able to generate revenue quickly for them.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Shahin Sheidaei
Games are powerful teaching tools, fostering hands-on engagement and fun. But they require careful consideration to succeed. Join me to explore factors in running and selecting games, ensuring they serve as effective teaching tools. Learn to maintain focus on learning objectives while playing, and how to measure the ROI of gaming in education. Discover strategies for pitching gaming to leadership. This session offers insights, tips, and examples for coaches, team leads, and enterprise leaders seeking to teach from simple to complex concepts.
The first trend is that the industry leaders have shown how to use big data to compete and win in their markets. It’s no longer a nice to have – you need big data to compete
Google pioneered MapReduce processing on commodity hardware and used that to catapult themselves to into the leading search engine even though they were 19th in the market
Yahoo! Leveraged these ideas to create Hadoop to keep up with Google and many mainstream companies have followed with new data-driven applications such as “people you may know” (started by LinkedIn and now used by Facebook, Twitter, and every social application), product recommendation engines, contextual and personalized music services (beats), measuring digital media effectiveness (comScore), serving more relevant/targeted ads(Comcast, rubicon project), fraud and risk detection, healthcare efficacy, and more
What makes the difference? A lot of attention is given to data science and developing sophisticated new algorithms, but in many cases just having more data beats better algorithms. (make point on collecting more consumer interaction as well as transaction data, as an example).
In addition, competitive advantage is decided by very small percentages. Just 1% improvement in fraud can mean hundreds $millions in savings. A ½% lift in advertising effectiveness means millions in new product sales and profitability. The same can be applied to customer churn, disease diagnosis, and more.
A second trend in enterprise architecture has been big data overwhelming the existing workload-specific systems which are in production. (list of requirements for each of these on the side in text)
People started with mainframes or operational systems which run ERP, finance, CRM and other mission-critical applications. They require… (pick out attributes you want to stress on the left)
You also have data warehouses, marts, data mining, and other analytical systems which pull data from these operational and other systems for providing insights to the business for decision making
The amount/variety of data has been overloading these systems. You reach a certain point as you try to ingest new types of data when these systems are not cost-effective to scale to terabytes or petabytes of data
The first reality is that as people put Hadoop into production, to relieve the pressure from other systems in their enterprise architecture it needs to reliable . Hadoop needs to be held to the same enterprise standards as your Oracle, SAP, Teradata, NetApp storage, or any other enterprise system.
Many organizations are putting Hadoop into their data center to provide (list of use cases underneath) … it can do all of this and more, but
For Hadoop to act as a system of record , it must provide the same guarantees for SLA’s, performance, data protection, and more
Most importantly, Hadoop has the potential for both analytics AND operations. It can be used to optimize the data warehouse provide batch data refining or storage. But Hadoop can provide many operational analytics or database operations/jobs when done right.
Choosing the right big data architecture is critical for success with your Hadoop projects and business applications
One analogy is building a sky scraper. Before you can start building up, you have to lay a rock-solid foundation.
This building is the new Wilshire Grand project in Los Angeles. In Feb of this year they set a Guinness World Record for pouring a 21,000 cubic yard (16,000 cubic meters) foundation over 26 hours (http://www.theguardian.com/cities/2014/feb/14/world-largest-concrete-pour-la-trucks-los-angeles)
When completed in 2017, the building will be the tallest in the US outside of NY and Chicago.
This analogy applies as well to building a data platform – you have to architect for the future. This allows you to build higher, stronger, and faster, without retrofitting later down the road (anyone who has added a second story to their house can attest to the additional cost and construction delays if you have to reinforce a foundation which wasn’t designed to hold the stress)
For business-critical applications you must have data protection and security (availability, data protection, and recovery), high performance (with random read-write system), multi-tenancy (to support multiple business units, isolate applications or user data,…), provide good resource and workload management to support multiple applications, and open standards to integrate with the rest of the enterprise data architecture
This data foundation allows you to support new data-driven applications (both operational and analytical) , maintain service level agreements with the business, provide information you can trust and count on being there when you need it, and ultimately being the best TCO for the long-run. Supporting enterprise systems without retrofits or multiple clusters to work around platform deficiencies (e.g., to support operational/online applications in Hadoop today, you need a separate HBase cluster – separate from the rest of your Hadoop cluster/investment)
The power of MapR begins with the power of open source innovation and community participation.
In some cases MapR leads the community in projects like Apache Mahout (machine learning) or Apache Drill (SQL on Hadoop)
In other areas, MapR contributes, integrates Apache and other open source software (OSS) projects into the MapR distribution, delivering a more reliable and performant system with lower overall TCO and easier system management.
MapR releases a new version with the latest OSS innovations on a monthly basis. We add 2-4 new Apache projects annually as new projects become production ready and based on customer demand.
The power of MapR begins with the power of open source innovation and community participation.
In some cases MapR leads the community in projects like Apache Mahout (machine learning) or Apache Drill (SQL on Hadoop)
In other areas, MapR contributes, integrates Apache and other open source software (OSS) projects into the MapR distribution, delivering a more reliable and performant system with lower overall TCO and easier system management.
MapR releases a new version with the latest OSS innovations on a monthly basis. We add 2-4 new Apache projects annually as new projects become production ready and based on customer demand.
The MapR distribution for Hadoop is globally recognized as the technology leader
Forrester published a Wave for Big Data Hadoop Solutions where it placed MapR as the highest ranking product based on current offering as well as roadmap.
Cloud: MapR has been selected by two of the companies most experienced with MapReduce technology which is a testament to the technology advantages of MapR’s distribution. Amazon through its Elastic MapReduce service (EMR) hosted over 2 million clusters in the past year. Amazon selected MapR to complement EMR as the only commercial Hadoop distribution being offered, sold and supported as a service by Amazon to its customers.
MapR was also selected by Google – the pioneer of MapReduce and the company whose white paper on MapReduce inspired the creation of Hadoop – has also selected MapR to make our distribution available on Google Compute Engine.