As technology continues to advance, the way we store and process data has had to evolve as well. Data modernization has been a buzzword in the IT industry for some time, but what does it really mean? It’s become synonymous with “moving to the cloud” – to cloud-native systems and databases – for better processing agility, scalability, efficiency, and cost advantages.
With data sources and volumes growing at an exponential rate, data modernization has become a necessity for organizations. Legacy platforms and database architectures can no longer keep up with the sheer size of an organization’s growing data, and are not designed to handle unstructured data – which is becoming just as common and valuable as structured data.
That’s why we’ve partnered with Google via the Works with BigQuery Program to develop a native solution that provides users the ability to easily connect applications and data sources to Google BigQuery, without any coding, while also adopting a modern architecture to handle any integration task with BigQuery.
Don’t let your organization get left behind in the data modernization race. Contact us today to learn more about how we can help you simplify your data modernization journey.
Unternehmen sammeln immer mehr Daten aus Systemen, Prozessen und digitalen Aktionen. Die Menge der Daten, die Unternehmen zur Verfügung stehen, steigt immer weiter an. Um bessere Geschäftsentscheidungen zu treffen, ist es erforderlich, diese Daten zu operationalisieren. Das Ziel von Data Mesh ist es, die Datenverwaltung und -analyse zu dezentralisieren sowie gleichzeitig einen unmittelbaren Nutzen zu erzielen und eine umfassende Governance beizubehalten.
In diesem Webinar erfahren Sie:
Was Data Mesh ist
Die vier Prinzipien der Data Mesh-Philosophie
Wie sich Data Mesh mit Data Fabric und anderen Technologien vergleichen lässt
Was für eine Schlüsselrolle die Integration bei einer erfolgreichen Data-Mesh-Implementierung spielt
Wie man den Datenzugriff über Geschäftsbereiche hinweg demokratisiert und regelt
Organizational leaders are significantly increasing their data warehouse investments to make the most of their valuable data. In turbulent times, they know that they need that data to generate actionable insights to not just survive but to keep their business moving forward. However, IT Leaders have been saying that organizational and technical challenges stemming from their cloud data warehousing projects are hindering success.
This infographic explains:
Some of the challenges organizations are facing
What the future state of cloud data warehousing looks like
How SnapLogic can help you integrate, automate, and mobilize your data to any data warehouse
Your journey to data-driven dominance starts here.
What is keeping you from jump-starting your data modernization journey?
Let SnapLogic and AWS be your guide for a smooth journey to the cloud. Aligning best-in-class cloud data warehousing capabilities with a best-in-class data integration platform, we can modernize your organization so you can deliver world-class solutions to your customers.
Our no-code/low-code UI maximizes productivity and makes it easier for business and IT users alike, to move data into Amazon Redshift, and leverage that data across the organization for analytics, Machine Learning, and AI.
Download this guide to learn all the reasons you should jump-start your cloud data warehouse on AWS and how SnapLogic’s iPaaS solution simplifies data integration.
Organizations are collecting more and more data from every system, process and digital action. As the amount of data available to organizations continues to rise, the need to operationalize this data to drive business decisions becomes imperative. The goal of data mesh is to decentralize data management and analytics, while achieving immediate value, at scale, and maintaining broad governance.
So, what can data mesh do for your business?
Watch Michael Nixon, VP of Product Marketing at SnapLogic and Mark Gibbs, VP of Product at SnapLogic as they discuss:
What is data mesh
The four principles of the data mesh philosophy
How data mesh compares to data fabric and other technologies
How integration plays a key role in a successful data mesh deployment
How to democratize and govern data access across business domains
Today’s businesses rely on the power of their data and the ability to quickly process and analyze it, at scale. Unlike on-premise data warehouses which use slower, manual processes, cloud data warehousing simplifies and automates time-consuming and costly data management, administration, and data processing activities.
In this guide, we will cover the overall benefits of migrating to the cloud and give you a template for ensuring a successful migration with these 5 steps :
Define goals & business case
Access current data warehouse architecture
Define the migration strategy
Select the technology
Migrate and operationalize
Download the guide now for your blueprint to a successful cloud data warehouse migration.
Where can you attend?
Anywhere! We’re streaming it to you online.
What is the Supercharge Event?
Moving to the cloud on Amazon Web Services? Why not Supercharge it with an iPaas?!
In this webinar, you’ll hear from Constellation Research’s Principal Analyst, Doug Henschen, as he details the five iPaaS must haves for data and analytics deployments on AWS. You’ll also hear from Solutions Architects and real world operators who know how to get the most out of AWS.
You’ll walk away with (at least) 5 integration must haves for Data and Analytics deployments on AWS that you’ll be able to start using right away!
Supercharge Event Agenda
Here’s an overview of the sessions that will help you supercharge your cloud data warehouse.
Welcome Keynote – Leading Data Warehouse trends challenges and recommendations for cloud native integrations and experience
Speaker – Constellation Research Principal Analyst, Doug Henschen
AWS Interview – The future state of the Cloud Data Warehouse and iPaaS
Speaker – Constellation Research Principal Analyst, Doug Henschen & AWS Sr. Solutions Architect, Jobin George
Customer Case Study Interview – Travis Pendleton, Sr. Manager, IT Data Services, Sailpoint & Michael Nixon, VP Product Marketing, SnapLogic
As companies seek to be more agile, there is a need for both better integrations and automation of manual workflows. These integrations and automations need a platform that is both powerful and easy to use for both IT and Line of Business.
Watch now and see how the SnapLogic automation and integration platform enables you to build application and data integrations and automate your current workflows to improve data access for your organization.
In this short demo, we will cover:
Connecting on-prem and cloud data sources
Performing visual transformations on your data
Building automations to avoid repetitive operations
With SnapLogic, you have access to low-code/no-code integrations so anyone in IT or LOB can automate everyday tasks.
As companies seek to be more agile, there is a need for both better integrations and automation of manual workflows. These integrations and automations need a platform that is both powerful and easy to use for both IT and Line of Business.
Watch now and see how the SnapLogic automation and integration platform enables you to build application and data integrations and automate your current workflows to improve data access for your organization.
In this short demo, we will cover:
Connecting on-prem and cloud data sources
Performing visual transformations on your data
Building automations to avoid repetitive operations
Best of all, ask questions directly to our product experts to best understand how SnapLogic might fit for your top use cases. With SnapLogic, you have access to low-code/no-code integrations so anyone in IT or LOB can automate everyday tasks.
Multiple teams at George Weston Foods (GWF) worked behind the scenes to analyze hundreds of thousands of data points and what they meant to the business. Although these teams used multiple cloud applications to ease their data analysis process, they struggled to get consistent sets of data and reporting. Unfortunately, the results produced varied outcomes, even though everyone used the same sets of data and existing tools to perform analysis.
To help solve their data analyzation woes, GWF selected SnapLogic as their integration platform as a service (iPaaS). With SnapLogic, GWF has dramatically reduced the time needed to build integrations and deliver data to business groups across the company. Benefits they saw include: