Data Ingestion Platform - DiP
Check out the real time data ingestion using Data Ingestion Platform (DiP) which harness the powers of Apache Apex, Apache Flink, Apache Spark and Apache Storm to give real time data ingestion and visualization.
DiP comes along with a UI which allows to switch between multiple data streaming engines and combines them under one single platform.
As Hadoop and Big Data technologies take root in the enterprise, they bring new challenges for data orchestration and interaction with traditional environments. The journey of transitioning to a modern data platform involves not only ingesting and offloading data from multiple sources, but also transforming the data, making it instantly available to the business, for on demand analytics. Manual efforts and scripting are no longer practical and projects seem to come to a grinding halt due to failures and delays.
Join this session by Cloudwick and BMC and learn through real-world examples of a proven approach that meet the required standards of ease of use, scalability, security, data governance and service level management.
Data Engineer, Patterns & Architecture The future: Deep-dive into Microservic...Igor De Souza
With Industry 4.0, several technologies are used to have data analysis in real-time, maintaining, organizing, and building this on the other hand is a complex and complicated job. Over the past 30 years, we saw several ideas to centralize the database in a single place as the united and true source of data has been implemented in companies, such as Data wareHouse, NoSQL, Data Lake, Lambda & Kappa Architecture.
On the other hand, Software Engineering has been applying ideas to separate applications to facilitate and improve application performance, such as microservices.
The idea is to use the MicroService patterns on the date and divide the model into several smaller ones. And a good way to split it up is to use the model using the DDD principles. And that's how I try to explain and define DataMesh & Data Fabric.
Webinar: iPaaS in the Enterprise - What to Look for in a Cloud Integration Pl...SnapLogic
In this webinar, we talk about important features when it comes to evaluating an integration platform as a service (iPaaS) solution, including ease of use, flexibility, functionality and cloud-based architecture. Joining us in this webinar was Bryant Pham of SnapLogic customer Xactly.
With Bryant, we also discussed Xactly’s evaluation process in finding a solution to connect applications in real time to create a single, comprehensive system of systems to run an expanding business, and initial results the Xactly team is seeing with the use of SnapLogic, including automation and cloud analytics.
To learn more, visit: www.snaplogic.com/ipaas
As Hadoop and Big Data technologies take root in the enterprise, they bring new challenges for data orchestration and interaction with traditional environments. The journey of transitioning to a modern data platform involves not only ingesting and offloading data from multiple sources, but also transforming the data, making it instantly available to the business, for on demand analytics. Manual efforts and scripting are no longer practical and projects seem to come to a grinding halt due to failures and delays.
Join this session by Cloudwick and BMC and learn through real-world examples of a proven approach that meet the required standards of ease of use, scalability, security, data governance and service level management.
Data Engineer, Patterns & Architecture The future: Deep-dive into Microservic...Igor De Souza
With Industry 4.0, several technologies are used to have data analysis in real-time, maintaining, organizing, and building this on the other hand is a complex and complicated job. Over the past 30 years, we saw several ideas to centralize the database in a single place as the united and true source of data has been implemented in companies, such as Data wareHouse, NoSQL, Data Lake, Lambda & Kappa Architecture.
On the other hand, Software Engineering has been applying ideas to separate applications to facilitate and improve application performance, such as microservices.
The idea is to use the MicroService patterns on the date and divide the model into several smaller ones. And a good way to split it up is to use the model using the DDD principles. And that's how I try to explain and define DataMesh & Data Fabric.
Webinar: iPaaS in the Enterprise - What to Look for in a Cloud Integration Pl...SnapLogic
In this webinar, we talk about important features when it comes to evaluating an integration platform as a service (iPaaS) solution, including ease of use, flexibility, functionality and cloud-based architecture. Joining us in this webinar was Bryant Pham of SnapLogic customer Xactly.
With Bryant, we also discussed Xactly’s evaluation process in finding a solution to connect applications in real time to create a single, comprehensive system of systems to run an expanding business, and initial results the Xactly team is seeing with the use of SnapLogic, including automation and cloud analytics.
To learn more, visit: www.snaplogic.com/ipaas
Big Data and BI Tools - BI Reporting for Bay Area Startups User GroupScott Mitchell
This presentation was presented at the July 8th 2014 user group meeting for BI Reporting for Bay Area Start Ups
Content - Creation Infocepts/DWApplications
Presented by: Scott Mitchell - DWApplications
What’s New in Syncsort’s Trillium Software System (TSS) 15.7Precisely
Learn how the newest data quality functionality in Syncsort’s Trillium Software System will ensure your enterprise data - from CRM to data lakes and everything in between - provide complete, integrated, fit-for-purpose information you can trust.
View this webcast on demand to discover how to:
• Process data quality jobs at massive scale with Trillium Quality for Big Data, running natively within Big Data frameworks like Hadoop MapReduce and Apache Spark, with no end-user coding and no system tuning or re-coding required
• Tightly integrate data quality assessment with third-party tools using our newly published Trillium Discovery REST API
• Ensure data processing complies with data governance policy through out-of-the-box data discovery integration with Collibra Data Governance Center
• Eliminate duplicate, incomplete CRM data using Trillium Quality for Dynamics CRM and achieve a true single view of the customer
The conference was hosted exclusively for accomplished CIO's to facilitate an excellent platform to help gauge organization's readiness for transition to the cloud, identify and address any gaps or areas of concern and develop an actionable cloud strategy and roadmap for the future.
Introduction To IPaaS: Drivers, Requirements And Use CasesSynerzip
Useful to:
- Enterprise architects leading cloud and big data adoption strategies
- Data engineers struggling with legacy ETL tools
- Cloud application owners moving away from legacy ESB technologies
- CTOs and CDOs driving change in enterprise IT
In this interactive presentation, we’ll introduce you to iPaaS, how it’s different than legacy application and data integration and outline the 4 primary use cases in the modern enterprise. You’ll also get an introduction to SnapLogic, the industry’s first unified application and data integration platform built for self-service.
Original copy at https://www.synerzip.com/webinar/introduction-to-ipaas-drivers-requirements-and-use-cases-july-20-2016/
How to Achieve Data in Motion Expertise | Mario Sanchez, ConfluentHostedbyConfluent
Join us for a talk with Confluent's Head of Education, Mario Sanchez, as he discusses how we've successfully transformed business through a prescriptive approach to enablement. We invite you to join the live Q&A that follows, to discuss how enablement can benefit your organization.
Hortonworks Oracle Big Data Integration Hortonworks
Slides from joint Hortonworks and Oracle webinar on November 11, 2014. Covers the Modern Data Architecture with Apache Hadoop and Oracle Data Integration products.
MSRCOSMOS has focused initiatives on Big Data and has capabilities to help customers adopt Big Data solutions. The capabilities range from discovering Big Data for adoption to implementation of domain specific solutions. The capabilities are addressed using three major dimensions.
Modern data management using Kappa and streaming architectures, including discussion by EBay's Connie Yang about the Rheos platform and the use of Oracle GoldenGate, Kafka, Flink, etc.
Oracle Data Integration overview, vision and roadmap. Covers GoldenGate, Data Integrator (ODI), Data Quality (EDQ), Metadata Management (MM) and Big Data Preparation (BDP)
Hadoop in 2015: Keys to Achieving Operational Excellence for the Real-Time En...MapR Technologies
In this webinar, Carl W. Olofson, Research Vice President, Application Development and Deployment for IDC, and Dale Kim, Director of Industry Solutions for MapR, will provide an insightful outlook for Hadoop in 2015, and will outline why enterprises should consider using Hadoop as a "Decision Data Platform" and how it can function as a single platform for both online transaction processing (OLTP) and real-time analytics.
MicroStrategy World 2014: Scaling MicroStrategy at eBayTim Case
eBay has one of the largest data warehouses in the world! See how the BI Platform team at eBay had to rethink and rebuild their system architecture and processes in order to support the ever-growing data volume and scalability needs of their developers and users.
Migrating large fleets of legacy applications to AWS cloud infrastructure requires careful planning, since each phase needs to balance risk tolerance against the speed of migration.
Through participation in many large-scale migration engagements with customers, AWS Professional Services has developed a set of successful best practices, tools, and techniques that help migration factories optimize speed of delivery and success rate. In this session, we cover the complete lifecycle of an application portfolio migration with special emphasis on how to organize and conduct the assessment and how to identify elements that can benefit from cloud architecture.
Big Data and BI Tools - BI Reporting for Bay Area Startups User GroupScott Mitchell
This presentation was presented at the July 8th 2014 user group meeting for BI Reporting for Bay Area Start Ups
Content - Creation Infocepts/DWApplications
Presented by: Scott Mitchell - DWApplications
What’s New in Syncsort’s Trillium Software System (TSS) 15.7Precisely
Learn how the newest data quality functionality in Syncsort’s Trillium Software System will ensure your enterprise data - from CRM to data lakes and everything in between - provide complete, integrated, fit-for-purpose information you can trust.
View this webcast on demand to discover how to:
• Process data quality jobs at massive scale with Trillium Quality for Big Data, running natively within Big Data frameworks like Hadoop MapReduce and Apache Spark, with no end-user coding and no system tuning or re-coding required
• Tightly integrate data quality assessment with third-party tools using our newly published Trillium Discovery REST API
• Ensure data processing complies with data governance policy through out-of-the-box data discovery integration with Collibra Data Governance Center
• Eliminate duplicate, incomplete CRM data using Trillium Quality for Dynamics CRM and achieve a true single view of the customer
The conference was hosted exclusively for accomplished CIO's to facilitate an excellent platform to help gauge organization's readiness for transition to the cloud, identify and address any gaps or areas of concern and develop an actionable cloud strategy and roadmap for the future.
Introduction To IPaaS: Drivers, Requirements And Use CasesSynerzip
Useful to:
- Enterprise architects leading cloud and big data adoption strategies
- Data engineers struggling with legacy ETL tools
- Cloud application owners moving away from legacy ESB technologies
- CTOs and CDOs driving change in enterprise IT
In this interactive presentation, we’ll introduce you to iPaaS, how it’s different than legacy application and data integration and outline the 4 primary use cases in the modern enterprise. You’ll also get an introduction to SnapLogic, the industry’s first unified application and data integration platform built for self-service.
Original copy at https://www.synerzip.com/webinar/introduction-to-ipaas-drivers-requirements-and-use-cases-july-20-2016/
How to Achieve Data in Motion Expertise | Mario Sanchez, ConfluentHostedbyConfluent
Join us for a talk with Confluent's Head of Education, Mario Sanchez, as he discusses how we've successfully transformed business through a prescriptive approach to enablement. We invite you to join the live Q&A that follows, to discuss how enablement can benefit your organization.
Hortonworks Oracle Big Data Integration Hortonworks
Slides from joint Hortonworks and Oracle webinar on November 11, 2014. Covers the Modern Data Architecture with Apache Hadoop and Oracle Data Integration products.
MSRCOSMOS has focused initiatives on Big Data and has capabilities to help customers adopt Big Data solutions. The capabilities range from discovering Big Data for adoption to implementation of domain specific solutions. The capabilities are addressed using three major dimensions.
Modern data management using Kappa and streaming architectures, including discussion by EBay's Connie Yang about the Rheos platform and the use of Oracle GoldenGate, Kafka, Flink, etc.
Oracle Data Integration overview, vision and roadmap. Covers GoldenGate, Data Integrator (ODI), Data Quality (EDQ), Metadata Management (MM) and Big Data Preparation (BDP)
Hadoop in 2015: Keys to Achieving Operational Excellence for the Real-Time En...MapR Technologies
In this webinar, Carl W. Olofson, Research Vice President, Application Development and Deployment for IDC, and Dale Kim, Director of Industry Solutions for MapR, will provide an insightful outlook for Hadoop in 2015, and will outline why enterprises should consider using Hadoop as a "Decision Data Platform" and how it can function as a single platform for both online transaction processing (OLTP) and real-time analytics.
MicroStrategy World 2014: Scaling MicroStrategy at eBayTim Case
eBay has one of the largest data warehouses in the world! See how the BI Platform team at eBay had to rethink and rebuild their system architecture and processes in order to support the ever-growing data volume and scalability needs of their developers and users.
Migrating large fleets of legacy applications to AWS cloud infrastructure requires careful planning, since each phase needs to balance risk tolerance against the speed of migration.
Through participation in many large-scale migration engagements with customers, AWS Professional Services has developed a set of successful best practices, tools, and techniques that help migration factories optimize speed of delivery and success rate. In this session, we cover the complete lifecycle of an application portfolio migration with special emphasis on how to organize and conduct the assessment and how to identify elements that can benefit from cloud architecture.
Big Data Taiwan 2014 Track2-2: Informatica Big Data SolutionEtu Solution
講者:Informatica 資深產品顧問 | 尹寒柏
議題簡介:Big Data 時代,比的不是數據數量,而是了解數據的深度。現在,因為 Big Data 技術的成熟,讓非資訊背景的 CXO 們,可以讓過去像是專有名詞的 CI (Customer Intelligence) 變成動詞,從 BI 進入 CI,更連結消費者經濟的脈動,洞悉顧客的意圖。不過,有個 Big Data 時代要 注意的思維,那就是競爭到最後,不單只是看數據量的增長,還要比誰能更了解數據的深度。而 Informatica 正是這個最佳解決的答案。我們透過 Informatica 解決在企業及時提供可信賴數據的巨大壓力;同時隨著日益增高的數據量和複雜程度,Informatica 也有能力提供更快速彙集數據技術,從而讓數據變的有意義並可供企業用來促進效率提升、完善品質、保證確定性和發揮優勢的功能。Inforamtica 提供了更為快速有效地實現此目標的方案,是精誠集團在 Big Data 時代的最佳工具。
Azure Cafe Marketplace with Hortonworks March 31 2016Joan Novino
Azure Big Data: “Got Data? Go Modern and Monetize”.
In this session you will learn how to architected, developed, and build completely in the open, Hortonworks Data Platform (HDP) that provides an enterprise ready data platform to adopt a Modern Data Architecture.
Hadoop and Internet of Things presentation from Sinergija 2014 conference, held in Belgrade in October 2014. How the rising data resources change the business, and how the Big Data technologies combined with Internet of Things devices can help to improve the business and the everyday life. Hadoop is already the most significant technology for working with Big Data. Microsoft is playing a very important role in this field, with the Stinger initiative. The main goal is to bring the enterprise SQL at Hadoop scale.
Overview of Apache Trafodion (incubating), Enterprise Class Transactional SQL-on-Hadoop DBMS, with operational use cases, what it takes to be a world class RDBMS, some performance information, and the new company Esgyn which will leverage Apache Trafodion for operational solutions.
Data Con LA 2018 - Streaming and IoT by Pat AlwellData Con LA
Hortonworks DataFlow (HDF) is built with the vision of creating a platform that enables enterprises to build dataflow management and streaming analytics solutions that collect, curate, analyze and act on data in motion across the datacenter and cloud. Do you want to be able to provide a complete end-to-end streaming solution, from an IoT device all the way to a dashboard for your business users with no code? Come to this session to learn how this is now possible with HDF 3.1.
10 Big Data Technologies you Didn't Know About Jesus Rodriguez
This session covers 9 new and exciting big data technologies that are starting to become relevant in the enterprise. The session focuses on technologies that are still not mainstream but that have the potential to influence the next generation of enterprise big data solutions
Teradata - Presentation at Hortonworks Booth - Strata 2014Hortonworks
Hortonworks and Teradata have partnered to provide a clear path to Big Analytics via stable and reliable Hadoop for the enterprise. The Teradata® Portfolio for Hadoop is a flexible offering of products and services for customers to integrate Hadoop into their data architecture while taking advantage of the world-class service and support Teradata provides.
Elasticsearch + Cascading for Scalable Log ProcessingCascading
Supreet Oberoi's presentation on "Large scale log processing with Cascading & Elastic Search". Elasticsearch is becoming a popular platform for log analysis with its ELK stack: Elasticsearch for search, Logstash for centralized logging, and Kibana for visualization. Complemented with Cascading, the application development platform for building Data applications on Apache Hadoop, developers can correlate at scale multiple log and data streams to perform rich and complex log processing before making it available to the ELK stack.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
1. Data Ingestion Platform (DiP)
Co-Dev opportunity to ingest any data in near
real time
www.xavient.com
2. www.xavient.comXavient Data Ingestion Platform (DiP)
Introduction
When numerous big data sources exist in diverse
formats (the sources may often number in the
hundreds and the formats in the dozens), it can
be challenging for businesses to ingest data at a
reasonable speed and process it efficiently in
order to maintain a competitive advantage. To
that end, vendors offer software programs that
are tailored to specific computing environments
or software applications.
When data ingestion is automated, the software
used to carry out the process may also include
data preparation features to structure and
organize data so it can be analyzed on the fly or
at a later time by business intelligence (BI) and
business analytics (BA) programs.
Data Ingestion Platform (DiP) is a system to
ingest data into Big Data systems. Data can be
streamed in real time or ingested in batches.
When data is ingested in real time, each data item
is imported as it is emitted by the source. When
data is ingested in batches, data items are
imported in discrete chunks at periodic intervals
of time. An effective data ingestion process
begins by prioritizing data sources, validating
individual files and routing data items to the
correct destination.
* This is a co-dev opportunity and provides initial baselines and
access to Big Data experts to enhance it further to meet the business
requirements
“Every business is an
analytics business, every
business process is an
analytics process, and every
business user is an analytics
user”
- Gartner
Challenges Faced
Business want to get data from various sources into
Hadoop or NoSql databases for faster access in near real
time. There is need for a platform that can help to build
a scalable and fault tolerant data pipeline.
This system should allow to run the following:
High Speed
Filtering and
Pattern Matching
Contextual
Enrichment
on the Fly
Real-time KPIs,
Analytics, Baselining
and Notification
Predictive
Analytics
Actions and
Decisions
2 |
3. www.xavient.com Xavient Data Ingestion Platform (DiP)3 |
Data Ingestion Platform (DiP)
Real time data ingestion using Data Ingestion Platform
(DiP) harness the powers of Apache Apex, Apache Flink,
Apache Spark and Apache Storm to stream data into
lambda architecture. Apache Kafka plays a key role as
messaging bus from source to streaming component.
DiP comes along with a UI in case users wants to upload
data from their desktops and also, any data can be
ingested from any source like Cloud Storage or local file
system. UI plays a key role in learning and choosing the
streaming components in the initial phase of
understanding the system.
DiP Technology Stack
• Source System – Web Client
• Messaging System – Apache Kafka
• Target System – HDFS, Apache HBase, Apache Hive
• Reporting System – Apache Phoenix(CLI), Apache
Zeppelin
• Streaming API’s – Apache Apex, Apache Flink,
Apache Spark and Apache Storm
• Programming Language – Java
• IDE – Eclipse
• Build tool – Apache Maven
• Operating System – CentOS 7
DiP Features
Any data source
Any data type
Easy to use UI
Data Visualization
High Level API’s
Java, Scala, Client
bindings
Architecture
• Flume / Client UI ingests data to Kafka Queues
• Platform picks data from subscribed Kafka topics
• Four streaming APIs : Apex Streaming, Flink Streaming, Spark Streaming, Storm Streaming
(Windowed Aggregations to MySQL)
• Process it in real time or micro-batching : HBase, HDFS (External tables on Hive tables), Phoenix
views on Zeppelin
G
U
I
XML
JSON
CSV
TXT
K
A
F
K
A
B
R
O
K
E
R
HBASE
HDFS
Hive
External
tables
Phoenix
Reporting
Zeppelin
Kafka
Operator
Classifier
Operator
File
Operator
HBase
Operator
Apex Streaming
Kafka
Source
Map
Data
HDFS
Sink
HBase
Sink
Flink Streaming
Kafka
Stream
Spark Streaming
Spark
Executers
Kafka
Spout
Storm Topology HDFS
bolt
HBASE
bolt
Filter
bolt
Data Ingestion Platform
4. www.xavient.comXavient Data Ingestion Platform (DiP)4 |
DiP comes with an easy to use UI that offers the following features –
• Switch easily between the supported streaming engines just by clicking on a radio button.
• Supports xml, json and tsv data formats
• Use text area to enter data manually for getting processed
• Process files for batch processing by simply uploading them
DiP User Interface (Co-Dev)
Use Cases
Sentiment
Analysis
Click
Stream
Analysis
Log
Analysis
Social
Media and
Customer
Sentiment
Analyze
Machine
and Sensor
Data
5. www.xavient.com Xavient Data Ingestion Platform (DiP)5 |
Great Ideas… Simple Solutions is what Xavient thrives on. As a global IT consulting
and software services company, we focus on transforming business ideas into
effective solutions.
Founded in 2002, the company is led by a passionate team of experts who come with
a history of entrepreneurial and management success. Xavient is headquartered in
the U.S with an international network of delivery centers primarily established in
India.
About Xavient
• Enabled one of the largest Billing
Transformation initiative in North America
• Powered one of the largest OTT platform for
video-on-demand services
• Designed one of the most engaging high
touch - high performance Retail UI/UX
• Proven expertise & unflinching focus on Digital
Media & Communication space for over 14
years
• Partner of choice for 4 out of Top 5 CSPs in the
US
• Developed the Live Streaming solution for a
Weather channel supporting next generation
internet connected devices