5 best practices to innovate at speed in the Cloud: Tip #1 Perform real-time data integration to meet real business needs

5 best practices to innovate at speed in the Cloud: Tip #1 Perform real-time data integration to meet real business needs

  • David Talaga
    David Talaga is Senior Product Marketing Manager for Data Governance at Talend. David has a rich and diverse marketing experience, including strategic, field, and product marketing roles in data-driven organizations. After graduating from EDHEC, David started his career as a Data analyst in the Healthcare Industry. In 2000, he joined Dassault Systèmes where he held several senior positions, notably heading up the technology partnership program in Augmented Reality and the strategic alliance with Microsoft. In 2006, David joined Microsoft as Product Marketer for the Software Engineering Product Line. In 2014, he became Marketing Manager for a new EdTech Offering at John Wiley and Sons before joining Talend as Product Marketing for Data Governance Solutions.

Starting September, The Talend Blog Team will relay to share fruitful tips & to securely kick off your data project in the cloud at speed.  This week, we’ll start with the first capability: empower organizations with the ability to perform real time data integration to meet real business needs.

Perform real-time data integration to meet real business needs

Being able to quickly integrate disparate sources of data from the edge to the core is a de facto criterion for your digital transformation to succeed — whether that’s providing real-time answers for your business teams or delivering personalized customer experiences.

Why it’s important

Speed to meet customers’ expectations and demand has become a key competitive advantage.  For a 360-degree customer experience, for instance, real-time data processing makes it possible to deliver a coupon code at the point of sale right before purchasing. Having data on time will accelerate changes and will help your organization to make faster reliable decisions.


When it’s important

Analytics used to be after the fact, aimed at monitoring or improving things after they occur.

 Now that products, customers and employees are always connected, comes the opportunity to influence any actions with real-time data (e.g. an omnichannel customer shopping experience, a financial trading app, a fraud detection algorithm).

Our recent data trust readiness report reveals that only 34% of Operational data workers believe in their organization capability to succeed in real-time data integration whereas 46% of executives feel more confident.

Download Data Trust Readiness Report now.
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How Talend tools can help

Scaling is always a challenge for data integration.  Limiting your scaling capabilities and you will limit your project scope that can slow down your activities: Talend simplifies and automates big data integration projects with on demand Serverless Spark and machine learning. There's no need to provision big data and cloud instances manually, and no need to pay for idle servers. Talend does it all for you, so you can focus on meeting your SLAs.

Having an agile architecture will help you to build projects aiming for the long run: with Talend, you won’t need to re-design your data pipelines every time new versions or releases of big data and cloud platforms come to market. You can use all the existing investment you’ve made and innovate as quickly as you need to with dynamic distribution support and portable data pipelines.

Last but not least, Talend released Pipeline Designer that can really help to create Simple Real-time Data Pipelines. With Pipeline Designer, you can build and deploy data pipelines dramatically faster, design seamlessly across batch and streaming use cases, and scale natively with the latest hybrid and multi-cloud technologies. Long story made it short: take a look at this short video to see Pipeline Designer in action.

Natively built on Cloud for any kind of data integration at speed, Pipeline Designer allows you to integrate any data — structured or unstructured — and design seamlessly in batch or streaming from a single interface so you can easily start by connecting to leading data sources including Salesforce, Amazon Redshift, Snowflake, and more.

 There is a great blog post on  Pipeline Designer I can only recommend you to read


How to get started

The real time challenge is not trivial. It also relies on the organization's willingness to invest into cloud-based modern systems that can capture data out of the traditional back office, batch-oriented systems and deliver it in real time across the front office. Download our Definitive Guide to Data Integration to learn what kind of systems are needed to integrate new kind of data sources, from edge to core.



Want to explore more capabilities?

This is the first out of five speed capabilities. Cannot wait to discover our second capability?

Go and download our Trust Data Readiness Report to discover other findings and the other 9 trust and speed capabilities.


Download Talend Data Trust Readiness Report


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