Modern data delivery platform like Lyftron provides universal data model capability to HR departments that enables changes from the source dynamically in the semantic layer and allows enterprises to avoid manual semantic data model changes.
Why Business Intelligence Should Consider Agile Modern Data Delivery Platformsyed_javed
Modern data solution like Lyftron provides high availability and concurrency at all scales for modern analytical and business intelligence applications such as Looker, Tableau, PowerBI, Sisence, PeriscopeData etc. and can deliver timely results for you.
Why IT Should Consider Agile Modern Data Delivery Platformsyed_javed
Modern data delivery platform like Lyftron modernizes IT departments by offering them the flexibility to consolidated data of their choice without being bound by the structure or schema of the data warehouse.
Cloud Modernization with Data VirtualizationDenodo
Watch full webinar here: [https://buff.ly/2sLhFAc]
TransAlta is an electric power generator company headquartered in Calgary, Alberta. TransAlta's IT department initiated "Zero Data Center" project to move their entire data layer to the cloud for flexibility, agility and lower TCO. Data virtualization technology played a central role in TransAlta's real-time data integration, while helping them move to the cloud with zero down-time
Attend this Denodo DataFest 2018 session to learn:
Who is TransAlta and why TransAlta wanted to move their entire enterprise data layer to the cloud
Why data virtualization played a critical role in TransAlta's cloud modernization effort
How TransAlta uses DV in their energy trading, wind icing forecast and HR fuctions
Attributes of a Modern Data Warehouse - Gartner CatalystJack Mardack
Most data-driven enterprises continue to struggle to generate the insights they need from their data. More data volumes from more data sources, combined with escalating user concurrency, have led to declining query throughput performance and skyrocketing data warehouse costs. Moreover, modern use cases such as customer-360 and hyper-personalization have blurred the boundaries between operational and analytics systems, making even greater demands on data warehouse solutions.
In general, data can be broken into two categories – data in motion vs data at rest. Learn the difference between these two types of data and the best infrastructure options to get optimal performance.
How a Media Data Platform Drives Real-time Insights & Analytics using Apache ...Databricks
Roularta is a leading publishing company in Belgium. As digital news and channels move at a rapid pace and contain massive volumes of data, Roularta decided in 2019 to invest in a Spark-based data platform to drive true real-time website analytics and unlock insights on previously untouched (big) data sources. In this talk we’ll first explain why and how Roularta embarked from a classical data warehouse to a Spark-based Lakehouse using Delta. We’ll outline the series of publishing & marketing use-cases done in the last 12 months and highlight for each use-case the advantages of Spark and how the team further tuned performance to truly deliver insights with high velocity.
Why Business Intelligence Should Consider Agile Modern Data Delivery Platformsyed_javed
Modern data solution like Lyftron provides high availability and concurrency at all scales for modern analytical and business intelligence applications such as Looker, Tableau, PowerBI, Sisence, PeriscopeData etc. and can deliver timely results for you.
Why IT Should Consider Agile Modern Data Delivery Platformsyed_javed
Modern data delivery platform like Lyftron modernizes IT departments by offering them the flexibility to consolidated data of their choice without being bound by the structure or schema of the data warehouse.
Cloud Modernization with Data VirtualizationDenodo
Watch full webinar here: [https://buff.ly/2sLhFAc]
TransAlta is an electric power generator company headquartered in Calgary, Alberta. TransAlta's IT department initiated "Zero Data Center" project to move their entire data layer to the cloud for flexibility, agility and lower TCO. Data virtualization technology played a central role in TransAlta's real-time data integration, while helping them move to the cloud with zero down-time
Attend this Denodo DataFest 2018 session to learn:
Who is TransAlta and why TransAlta wanted to move their entire enterprise data layer to the cloud
Why data virtualization played a critical role in TransAlta's cloud modernization effort
How TransAlta uses DV in their energy trading, wind icing forecast and HR fuctions
Attributes of a Modern Data Warehouse - Gartner CatalystJack Mardack
Most data-driven enterprises continue to struggle to generate the insights they need from their data. More data volumes from more data sources, combined with escalating user concurrency, have led to declining query throughput performance and skyrocketing data warehouse costs. Moreover, modern use cases such as customer-360 and hyper-personalization have blurred the boundaries between operational and analytics systems, making even greater demands on data warehouse solutions.
In general, data can be broken into two categories – data in motion vs data at rest. Learn the difference between these two types of data and the best infrastructure options to get optimal performance.
How a Media Data Platform Drives Real-time Insights & Analytics using Apache ...Databricks
Roularta is a leading publishing company in Belgium. As digital news and channels move at a rapid pace and contain massive volumes of data, Roularta decided in 2019 to invest in a Spark-based data platform to drive true real-time website analytics and unlock insights on previously untouched (big) data sources. In this talk we’ll first explain why and how Roularta embarked from a classical data warehouse to a Spark-based Lakehouse using Delta. We’ll outline the series of publishing & marketing use-cases done in the last 12 months and highlight for each use-case the advantages of Spark and how the team further tuned performance to truly deliver insights with high velocity.
Ubiquitous data does not always translate to actionable data, though most financial institutions have a treasure trove of data they are moving to the cloud and could be using today. The potential is huge, but most struggle just to make actionable data available, let alone turn it into business value at scale. This session will highlight come of the key use cases and technologies that provide the greatest returns and organizational impact.
How to Take Advantage of an Enterprise Data Warehouse in the CloudDenodo
Watch full webinar here: [https://buff.ly/2CIOtys]
As organizations collect increasing amounts of diverse data, integrating that data for analytics becomes more difficult. Technology that scales poorly and fails to support semi-structured data fails to meet the ever-increasing demands of today’s enterprise. In short, companies everywhere can’t consolidate their data into a single location for analytics.
In this Denodo DataFest 2018 session we’ll cover:
Bypassing the mandate of a single enterprise data warehouse
Modern data sharing to easily connect different data types located in multiple repositories for deeper analytics
How cloud data warehouses can scale both storage and compute, independently and elastically, to meet variable workloads
Presentation by Harsha Kapre, Snowflake
So why hasn’t everyone already moved to the Cloud? Why hasn’t everyone already transformed into a data-driven organization? What obstacles are standing the way? How should organizations get started on their journey? Financial institutions are quickly embracing the speed and agility that a cloud-based digital transformation can provide. This session will provide an overview for how retail banking, investment banking, and insurance can remove obstacles and launch a successful analytics journey to the cloud.
Delivering Quality Open Data by Chelsea UrsanerData Con LA
Abstract:- The value of data is exponentially related to the number of people and applications that have access to it. The City of Los Angeles embraces this philosophy and is committed to opening as much of its data as it can in order to stimulate innovation, collaboration, and informed discourse. This presentation will be a review of what you can find and do on our open data portals as well as our strategy for delivering the best open data program in the nation.
apidays LIVE Singapore - Democratising data access with APIs by Tarush Aggarw...apidays
apidays LIVE Singapore 2021 - Digitisation, Connected Services and Embedded Finance
April 21 & 22, 2021
Democratising data access with APIs
Tarush Aggarwal, Founder & CEO at 5xData
Unlock Data-driven Insights in Databricks Using Location IntelligencePrecisely
Today’s data-driven organisations are turning to Databricks for a cloud-based, open, unified platform for data and AI. Yet many companies struggle to unlock the value of the data they have in Databricks. To capitalise on the promise of a competitive edge through increased efficiency and insight, data scientists are turning to location to make sense of massive volumes of business data.
Watch this on-demand to hear from The Spatial Distillery Co. and Databricks on how to leverage advanced location intelligence and enrichment solutions in Databricks to:
- Simplify the complexity of location data and transform it into valuable insights
- Enrich data with thousands of attributes for better, more accurate analytics, AI, and ML models
- Leverage the power of Databricks to integrate geospatial data into business processes for real-time answers
- Create more meaningful and timely customer interactions by streamlining customer-facing and operational tasks
Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes ...Databricks
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
Altis Webinar: Use Cases For The Modern Data PlatformAltis Consulting
Several organisations have mentioned issues that they have found from choosing the wrong use cases to start their journey with a modern data platform.
In this session, NZ Regional Manager Alex Gray will cover some of those issues faced by organisations & how to pick the right use cases to get you started successfully on your journey.
In their webinar "Big Data Fabric 2.0 Drives Data Democratization" Ben Szekley, Cambridge Semantics’ SVP of Field Operations, and guest speaker, Forrester’s Noel Yuhanna, author of the Forrester report: “Big Data Fabric 2.0 Drives Data Democratization”, explored why data-driven businesses are making a big data fabric part of their data strategy to minimize data complexity, integrate siloed data, deliver real-time trusted insights, and to create new business opportunities. These are the slides from that webinar.
In this session you will learn how Qlik’s Data Integration platform (formerly Attunity) reduces time to market and time to insights for modern data architectures through real-time automated pipelines for data warehouse and data lake initiatives. Hear how pipeline automation has impacted large financial services organizations ability to rapidly deliver value and see how to build an automated near real-time pipeline to efficiently load and transform data into a Snowflake data warehouse on AWS in under 10 minutes.
Multi-Cloud Data Integration with Data Virtualization (APAC)Denodo
Watch full webinar here: https://bit.ly/3cnw5MW
More and more organization are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!).
In this on-demand session, you will learn about:
- The challenges facing organizations as they adopt multi-cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer
Supporting Data Services Marketplace using Data VirtualizationDenodo
Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation, you will see how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without effecting business users.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/PZ2uFj.
Master the Multi-Clustered Data Warehouse - SnowflakeMatillion
Snowflake is one of the most powerful, efficient data warehouses on the market today—and we joined forces with the Snowflake team to show you how it works!
In this webinar:
- Learn how to optimize Snowflake
- Hear insider tips and tricks on how to improve performance
- Get expert insights from Craig Collier, Technical Architect from Snowflake, and Kalyan Arangam, Solution Architect from Matillion
- Find out how leading brands like Converse, Duo Security, and Pets at Home use Snowflake and Matillion ETL to make data-driven decisions
- Discover how Matillion ETL and Snowflake work together to modernize your data world
- Learn how to utilize the impressive scalability of Snowflake and Matillion
Using Cloud Automation Technologies to Deliver an Enterprise Data FabricCambridge Semantics
The world of database management is changing. Cloud adoption is accelerating, offering a path for companies to increase their database capabilities while keeping costs in line. To help IT decision-makers survive and thrive in the cloud era, DBTA hosted this special roundtable webinar.
Embedding Insight through Prediction Driven LogisticsDatabricks
Aggreko are a leading provider of temporary power and temperature control solutions, serving customers across the globe as they work on projects ranging from the Olympics to aiding humanitarian disaster relief. In this talk, Helena and Andy will discuss how the Insights team have developed scalable machine learning solutions to support the business. In particular they will discuss fuel consumption forecasts that have helped Aggreko’s fuel logistics teams improve customer service levels and reduce costs by becoming more proactive and insight driven.
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo
Watch full webinar here: https://buff.ly/46pRfV7
This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.
Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.
Value for the Customer: Explore the tangible benefits that Denodo offers to its customers. From cost savings to improved decision-making, discover how the Denodo Platform helps organizations derive maximum value from their data assets.
Five Different Use Cases: Uncover five real-world use cases where Denodo's data virtualization platform has made a significant impact. From data governance to analytics, Denodo proves its versatility across a variety of domains.
- Logical Data Fabric
- Self Service Analytics
- Data Governance
- 360 degree of Entities
- Hybrid/Multi-Cloud Integration
Watch this illuminating session to gain insights into the transformative capabilities of the Denodo Platform.
IBM Cloud Pak for Data is a single unified platform which helps to unify and simplify the collection, organization and analysis of data. Enterprises can turn data into insights through an integrated cloud-native architecture. IBM Cloud Pak for Data is extensible, easily customized to unique client data and AI landscapes through an integrated catalog of IBM, open source and third-party microservices add-ons
Ubiquitous data does not always translate to actionable data, though most financial institutions have a treasure trove of data they are moving to the cloud and could be using today. The potential is huge, but most struggle just to make actionable data available, let alone turn it into business value at scale. This session will highlight come of the key use cases and technologies that provide the greatest returns and organizational impact.
How to Take Advantage of an Enterprise Data Warehouse in the CloudDenodo
Watch full webinar here: [https://buff.ly/2CIOtys]
As organizations collect increasing amounts of diverse data, integrating that data for analytics becomes more difficult. Technology that scales poorly and fails to support semi-structured data fails to meet the ever-increasing demands of today’s enterprise. In short, companies everywhere can’t consolidate their data into a single location for analytics.
In this Denodo DataFest 2018 session we’ll cover:
Bypassing the mandate of a single enterprise data warehouse
Modern data sharing to easily connect different data types located in multiple repositories for deeper analytics
How cloud data warehouses can scale both storage and compute, independently and elastically, to meet variable workloads
Presentation by Harsha Kapre, Snowflake
So why hasn’t everyone already moved to the Cloud? Why hasn’t everyone already transformed into a data-driven organization? What obstacles are standing the way? How should organizations get started on their journey? Financial institutions are quickly embracing the speed and agility that a cloud-based digital transformation can provide. This session will provide an overview for how retail banking, investment banking, and insurance can remove obstacles and launch a successful analytics journey to the cloud.
Delivering Quality Open Data by Chelsea UrsanerData Con LA
Abstract:- The value of data is exponentially related to the number of people and applications that have access to it. The City of Los Angeles embraces this philosophy and is committed to opening as much of its data as it can in order to stimulate innovation, collaboration, and informed discourse. This presentation will be a review of what you can find and do on our open data portals as well as our strategy for delivering the best open data program in the nation.
apidays LIVE Singapore - Democratising data access with APIs by Tarush Aggarw...apidays
apidays LIVE Singapore 2021 - Digitisation, Connected Services and Embedded Finance
April 21 & 22, 2021
Democratising data access with APIs
Tarush Aggarwal, Founder & CEO at 5xData
Unlock Data-driven Insights in Databricks Using Location IntelligencePrecisely
Today’s data-driven organisations are turning to Databricks for a cloud-based, open, unified platform for data and AI. Yet many companies struggle to unlock the value of the data they have in Databricks. To capitalise on the promise of a competitive edge through increased efficiency and insight, data scientists are turning to location to make sense of massive volumes of business data.
Watch this on-demand to hear from The Spatial Distillery Co. and Databricks on how to leverage advanced location intelligence and enrichment solutions in Databricks to:
- Simplify the complexity of location data and transform it into valuable insights
- Enrich data with thousands of attributes for better, more accurate analytics, AI, and ML models
- Leverage the power of Databricks to integrate geospatial data into business processes for real-time answers
- Create more meaningful and timely customer interactions by streamlining customer-facing and operational tasks
Data Mesh in Practice: How Europe’s Leading Online Platform for Fashion Goes ...Databricks
The Data Lake paradigm is often considered the scalable successor of the more curated Data Warehouse approach when it comes to democratization of data. However, many who went out to build a centralized Data Lake came out with a data swamp of unclear responsibilities, a lack of data ownership, and sub-par data availability.
Altis Webinar: Use Cases For The Modern Data PlatformAltis Consulting
Several organisations have mentioned issues that they have found from choosing the wrong use cases to start their journey with a modern data platform.
In this session, NZ Regional Manager Alex Gray will cover some of those issues faced by organisations & how to pick the right use cases to get you started successfully on your journey.
In their webinar "Big Data Fabric 2.0 Drives Data Democratization" Ben Szekley, Cambridge Semantics’ SVP of Field Operations, and guest speaker, Forrester’s Noel Yuhanna, author of the Forrester report: “Big Data Fabric 2.0 Drives Data Democratization”, explored why data-driven businesses are making a big data fabric part of their data strategy to minimize data complexity, integrate siloed data, deliver real-time trusted insights, and to create new business opportunities. These are the slides from that webinar.
In this session you will learn how Qlik’s Data Integration platform (formerly Attunity) reduces time to market and time to insights for modern data architectures through real-time automated pipelines for data warehouse and data lake initiatives. Hear how pipeline automation has impacted large financial services organizations ability to rapidly deliver value and see how to build an automated near real-time pipeline to efficiently load and transform data into a Snowflake data warehouse on AWS in under 10 minutes.
Multi-Cloud Data Integration with Data Virtualization (APAC)Denodo
Watch full webinar here: https://bit.ly/3cnw5MW
More and more organization are adopting multi-cloud strategies to provide greater flexibility, cost savings, and performance optimization. Even when organizations commit to a single cloud provider, they often have data and applications spread across different cloud regions to support different business units or geographies. The result of this is a high distributed infrastructure that makes finding and accessing the data needed for reporting and analytics even more challenging.
The Denodo Platform Multi-Location Architecture provides quick and easy managed access to data while still providing local control to the 'data owners' and complying with local privacy and data protection regulations (think GDPR and CCPA!).
In this on-demand session, you will learn about:
- The challenges facing organizations as they adopt multi-cloud data strategies
- How the Denodo Platform provides a managed data access layer across the organization
- The different multi-location architectures that can maximize local control over data while still making it readily available
- How organizations have benefited from using the Denodo Platform as a multi-cloud data access layer
Supporting Data Services Marketplace using Data VirtualizationDenodo
Data is treated truly as an asset at Guardian Life. We have created a Data Services Marketplace which contains valuable data from the underlying sources and is used by business users for day-to-day operations. In this presentation, you will see how Data Virtualization can be used to support the marketplace with real-time data services, provision non real-time data into Hadoop, and swap underlying sources without effecting business users.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/PZ2uFj.
Master the Multi-Clustered Data Warehouse - SnowflakeMatillion
Snowflake is one of the most powerful, efficient data warehouses on the market today—and we joined forces with the Snowflake team to show you how it works!
In this webinar:
- Learn how to optimize Snowflake
- Hear insider tips and tricks on how to improve performance
- Get expert insights from Craig Collier, Technical Architect from Snowflake, and Kalyan Arangam, Solution Architect from Matillion
- Find out how leading brands like Converse, Duo Security, and Pets at Home use Snowflake and Matillion ETL to make data-driven decisions
- Discover how Matillion ETL and Snowflake work together to modernize your data world
- Learn how to utilize the impressive scalability of Snowflake and Matillion
Using Cloud Automation Technologies to Deliver an Enterprise Data FabricCambridge Semantics
The world of database management is changing. Cloud adoption is accelerating, offering a path for companies to increase their database capabilities while keeping costs in line. To help IT decision-makers survive and thrive in the cloud era, DBTA hosted this special roundtable webinar.
Embedding Insight through Prediction Driven LogisticsDatabricks
Aggreko are a leading provider of temporary power and temperature control solutions, serving customers across the globe as they work on projects ranging from the Olympics to aiding humanitarian disaster relief. In this talk, Helena and Andy will discuss how the Insights team have developed scalable machine learning solutions to support the business. In particular they will discuss fuel consumption forecasts that have helped Aggreko’s fuel logistics teams improve customer service levels and reduce costs by becoming more proactive and insight driven.
Denodo Partner Connect: A Review of the Top 5 Differentiated Use Cases for th...Denodo
Watch full webinar here: https://buff.ly/46pRfV7
This Denodo session explores the power of data virtualization, shedding light on its architecture, customer value, and a diverse range of use cases. Attendees will discover how the Denodo Platform enables seamless connectivity to various data sources while effortlessly combining, cleansing, and delivering data through 5 differentiated use cases.
Architecture: Delve into the core architecture of the Denodo Platform and learn how it empowers organizations to create a unified virtual data layer. Understand how data is accessed, integrated, and delivered in a real-time, agile manner.
Value for the Customer: Explore the tangible benefits that Denodo offers to its customers. From cost savings to improved decision-making, discover how the Denodo Platform helps organizations derive maximum value from their data assets.
Five Different Use Cases: Uncover five real-world use cases where Denodo's data virtualization platform has made a significant impact. From data governance to analytics, Denodo proves its versatility across a variety of domains.
- Logical Data Fabric
- Self Service Analytics
- Data Governance
- 360 degree of Entities
- Hybrid/Multi-Cloud Integration
Watch this illuminating session to gain insights into the transformative capabilities of the Denodo Platform.
IBM Cloud Pak for Data is a single unified platform which helps to unify and simplify the collection, organization and analysis of data. Enterprises can turn data into insights through an integrated cloud-native architecture. IBM Cloud Pak for Data is extensible, easily customized to unique client data and AI landscapes through an integrated catalog of IBM, open source and third-party microservices add-ons
Data Virtualization: Introduction and Business Value (UK)Denodo
Watch full webinar here: https://bit.ly/30mHuYH
What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics. Denodo’s vision is to provide a unified data delivery layer as a logical data fabric, to bridge the gap between the IT and the business, hiding the underlying complexity and creating a semantic layer to expose data in a business friendly manner.
Attend this webinar to learn:
- What data virtualization really is
- How it differs from other enterprise data integration technologies
- Why data virtualization is finding enterprise-wide deployment inside some of the largest organizations
- Business Value of data virtualization and customer use cases
- Highlights of the newly launched Denodo Platform 8.0
Apache Hadoop and Spark are best-of-breed technologies for distributed processing and storage of very large data sets: Big Data. Join us as we explain how to integrate Salesforce with off-the-shelf big data tools to build flexible applications. You'll also learn how Force.com is evolving in this area and how Big Objects and Data Pipelines will provide Big Data capability within the platform.
Next Gen Analytics Going Beyond Data WarehouseDenodo
Watch this Fast Data Strategy session with speakers: Maria Thonn, Enterprise BI Development Manager, T-Mobile & Jonathan Wisgerhof, Smart Data Architect, Kadenza: https://goo.gl/J1qiLj
Your company, like most of your peers, is undoubtedly data-aware and data-driven. However, unless you embrace a modern architecture like data virtualization to deliver actionable insights from your enterprise data, the worth of your enterprise data will diminish to a fraction of its potential.
Attend this session to learn how data virtualization:
• Provides a common semantic layer for business intelligence (BI) and analytical applications
• Enables a more agile, flexible logical data warehouse
• Acts as a single virtual catalog for all enterprise data sources including data lakes
Lyftrondata enables enterprises to load data from 300+ connectors to Google Bigquery in minutes without any engineering requirements. Simply connect, organize, centralize and share your data on Bigquery with zero code data pipeline, ETL & ELT tool.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/39AhUB7
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Augmentation, Collaboration, Governance: Defining the Future of Self-Service BIDenodo
Watch full webinar here: https://bit.ly/3zVJRRf
According to Dresner Advisory’s 2020 Self-Service Business Intelligence Market Study, 62% of the responding organizations say self-service BI is critical for their business. If we look deeper into the need for today’s self-service BI, it’s beyond some Executives and Business Users being enabled by IT for self-service dashboarding or report generation. Predictive analytics, self-service data preparation, collaborative data exploration are all different facets of new generation self-service BI. While democratization of data for self-service BI holds many benefits, strict data governance becomes increasingly important alongside.
In this session we will discuss:
- The latest trends and scopes of self-service BI
- The role of logical data fabric in self-service BI
- How Denodo enables self-service BI for a wide range of users - Customer case study on self-service BI
Data and Application Modernization in the Age of the Cloudredmondpulver
Data modernization is key to unlocking the full potential of your IT investments, both on premises and in the cloud. Enterprises and organizations of all sizes rely on their data to power advanced analytics, machine learning, and artificial intelligence.
Yet the path to modernizing legacy data systems for the cloud is full of pitfalls that cost time, money, and resources. These issues include high hardware and staffing costs, difficulty moving data and analytical processes to cloud environments, and inadequate support for real-time use cases. These issues delay delivery timelines and increase costs, impacting the return on investment for new, cutting-edge applications.
Watch this webinar in which James Kobielus, TDWI senior research director for data management, explores how enterprises are modernizing their mainframe data and application infrastructures in the cloud to sustain innovation and drive efficiencies. Kobielus will engage John de Saint Phalle, senior product manager at Precisely, in a discussion that addresses the following key questions:
When should enterprises consider migrating and replicating all their data assets to modern public clouds vs. retaining some on-premises in hybrid deployments?How should enterprises modernize their legacy data and application infrastructures to unlock innovation and value in the age of cloud computing?What are the key investments that enterprises should make to modernize their data pipelines to deliver better AI/ML applications in the cloud?What is the optimal data engineering workflow for building, testing, and operationalizing high-quality modern AI/ML applications in the cloud?What value does real-time replication play in migrating data and applications to modern cloud data architectures?What challenges do enterprises face in ensuring and maintaining the integrity, fitness, and quality of the data that they migrate to modern clouds?What tools and methodologies should enterprise application developers use to refactor and transform legacy data applications that have migrated to modern clouds
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
Microsoft® SQL Server® 2012 is a cloud-ready information platform that will help organizations unlock breakthrough insights across the organization and quickly build solutions to extend data across on-premises and public cloud, backed by mission critical confidence.
Your Agile, Modern Data Delivery Platformsyed_javed
Lyftron eliminates traditional ETL/ELT bottlenecks with automatic data pipeline and make data instantly accessible to BI user with the modern cloud compute of Spark & Snowflake.
Lyftron connectors automatically convert any source into normalized, ready-to-query relational format and provide search capability on your enterprise data catalog.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Welocme to ViralQR, your best QR code generator.ViralQR
Welcome to ViralQR, your best QR code generator available on the market!
At ViralQR, we design static and dynamic QR codes. Our mission is to make business operations easier and customer engagement more powerful through the use of QR technology. Be it a small-scale business or a huge enterprise, our easy-to-use platform provides multiple choices that can be tailored according to your company's branding and marketing strategies.
Our Vision
We are here to make the process of creating QR codes easy and smooth, thus enhancing customer interaction and making business more fluid. We very strongly believe in the ability of QR codes to change the world for businesses in their interaction with customers and are set on making that technology accessible and usable far and wide.
Our Achievements
Ever since its inception, we have successfully served many clients by offering QR codes in their marketing, service delivery, and collection of feedback across various industries. Our platform has been recognized for its ease of use and amazing features, which helped a business to make QR codes.
Our Services
At ViralQR, here is a comprehensive suite of services that caters to your very needs:
Static QR Codes: Create free static QR codes. These QR codes are able to store significant information such as URLs, vCards, plain text, emails and SMS, Wi-Fi credentials, and Bitcoin addresses.
Dynamic QR codes: These also have all the advanced features but are subscription-based. They can directly link to PDF files, images, micro-landing pages, social accounts, review forms, business pages, and applications. In addition, they can be branded with CTAs, frames, patterns, colors, and logos to enhance your branding.
Pricing and Packages
Additionally, there is a 14-day free offer to ViralQR, which is an exceptional opportunity for new users to take a feel of this platform. One can easily subscribe from there and experience the full dynamic of using QR codes. The subscription plans are not only meant for business; they are priced very flexibly so that literally every business could afford to benefit from our service.
Why choose us?
ViralQR will provide services for marketing, advertising, catering, retail, and the like. The QR codes can be posted on fliers, packaging, merchandise, and banners, as well as to substitute for cash and cards in a restaurant or coffee shop. With QR codes integrated into your business, improve customer engagement and streamline operations.
Comprehensive Analytics
Subscribers of ViralQR receive detailed analytics and tracking tools in light of having a view of the core values of QR code performance. Our analytics dashboard shows aggregate views and unique views, as well as detailed information about each impression, including time, device, browser, and estimated location by city and country.
So, thank you for choosing ViralQR; we have an offer of nothing but the best in terms of QR code services to meet business diversity!
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Assure Contact Center Experiences for Your Customers With ThousandEyes
Why HR Should Consider Agile Modern Data Delivery Platform
1. Gather data from all your sources.
Attain uninhibited access to crucial data
sources and achieve a sophisticated
communication experience.
Easily integrate systems and share
data in real time. You can utilize all of
the features and benefits of a unified,
HR solution by integrating payroll and
timesheets. Utilize the power of data
to offer unique benefits such as
retirement plans, insurance coverage
and more.
Less dependency on HR for
information. With easy access to
information employees can now
plan their work more efficiently
and effectively. Managers can now
take more strategic decisions
while maintaining integrity and
accountability.
LYFTRON FOR HR
The need for integration with various systems such as payroll processing, administration, finance and IT motivated the HR depart-
ments to opt for sophisticated solutions that help them to handle the variety in the data.
Visit: www.lyftron.com contact@lyftron.com 855-LYFTRON (593-8766)
Why HR Should
Consider Agile
Modern Data
Delivery Platform
Improved Employee
Productivity
Efficient Integration Data Consolidation
2. GUIDED BY THESE USE CASES
A TRANSFORMATIONAL STEP FOR BI ACCELERATION
Cloud Migration
Cloud
BI Tools
Self-service data
management users
Phase Migration
Lyft & Shift MigrationOn-premise
Cloud data warehouse:
Snowflake, Bigquery,
Redshift, Azure SQL DW
Lyftron
A cloud data warehouse is
connected and data migrated
step by step
Agile Universal Data Model
Cloud
Universal Data Model
Cloud Data Warehouse
Lyftron Modern Datahub
Traditional Data Sources
Lyftron
Lyftron provides universal data model capability that enables
changes from the source dynamically in the semantic layer and allows
enterprises to avoid manual semantic data model changes.
Snowflake, Redshift,
Bigquery, Azure Sql
DW
Cloud Data Warehouse
Lyftron Modern Datahub
Traditional Data Sources
On-premise
Cloud
3. HEADACHES UTILIZING THESE USE CASES
INSTANT BI WITH ZERO ETL/ELT
Governed Data Lake Analytics
Hybrid Cloud Management
Cloud
On-premise Legacy Platform
On-premise
Cloud
Saas BI tools
Self-service data
management users
On-premise
Cloud data warehouse:
CACHE
Lyftron
Lyftron enables sync between
multiple regions of cloud databases,
on premise database on Lyftron
cluster so, SaaS BI tools are connected
to both on-premise and cloud data
sources in one place
BI tools
Data Lake
Universal data model
managed by BI usersLyftron
Data Lake is connected to
Lyftron as a data source.
The data model for
analytics is based on views
RDS on AWS, GCP & Azure
Snowflake, Redshift,
Bigquery, Azure Sql
DW
Snowflake, Redshift,
Bigquery, Azure Sql DW
Cloud Data Warehouse
Lyftron Modern Datahub
Traditional Data Sources
Cloud Data Warehouse
Lyftron Modern Datahub
Traditional Data Sources