Our live demo series is back

By Rich Dill

Due to popular demand, we’re bringing back a regular demo series where you get a first-hand look at SnapLogic’s Enterprise Integration Cloud in action, hear from a technology expert, and have your questions answered … live.

If you want to learn more about what SnapLogic can bring to your application and data integration plans, this demo is for you. Join me Wednesday, August 9 from 10:30AM – 11:00AM PT for the kick off of our Live Demo Series.

In this month’s demo, I will be highlighting the multiple reasons why the Enterprise Integration Cloud is the best option for quickly connecting and efficiently managing legacy and modern data, cloud application, and API integration needs.

I will be providing an overview of iPaaS and SnapLogic along with a detailed look inside the industry’s first AI-powered integration technology, Iris. I will also highlight how to connect an application to a database in minutes.

Each month we will be showcasing our leading industry integration cloud, so if you can’t attend this demo, we’ll have others for you to participate in with different themes each time.

Register now for the SnapLogic Live Demo Series

Rich Dill is Enterprise Solutions Architect at SnapLogic. You can follow him on Twitter @richdill.

 

 

Mossberg out. Enterprise technology still in

By Gaurav Dhillon

A few weeks ago, the legendary tech journalist, Walt Mossberg, penned his last column. Although tech journalism today is vastly different than it was in 1991, when his first column appeared in the Wall Street Journal, or even five or 10 years ago, voices like Walt’s still matter. They matter because history matters – despite what I see as today’s widely held, yet unspoken belief that nothing much important existed prior to the invention of the iPhone.

Unpacking that further, history matters because the people who learn from it, and take their cues from it, are those who will drive the future.

Enterprise tech history is still unfolding

I like to think of myself as one of those people, certainly one who believes that all history is meaningful, including tech history. As tech journalism’s eminence grise, Walt not only chronicled the industry’s history, he also helped to define it. He was at the helm of a loose cadre of tech journalists and industry pundits, from Robert X. Cringely to Esther Dyson, who could make or break a company with just a few paragraphs.

Walt is now retiring. So what can we learn from him? The premise of his farewell column in Recode is that tech is disappearing, in a good way.”[Personal] tech was once always in your way. Soon, it will be almost invisible,” he wrote, and further, “The big software revolutions, like cloud computing, search engines, and social networks are also still growing and improving, but have become largely established.”

I’ll disagree with Walt on the second point. The cloud computing revolution, which is changing the way enterprises think and operate, is just beginning. We are at a juncture populated by unimaginably large quantities of data, coupled with an equally unquenchable thirst by enterprises to learn from it. The world has gone mad for artificial intelligence (AI) and analytics, every permutation of which is fueled by one thing: data.

The way we use data will become invisible

In his column, Walt observed that personal tech is now almost invisible. We use and benefit from it in an almost passive way. The way data scientists and business users consume data is anything but. Data is still moved around and manually integrated, on-premises and in the cloud, with processes that haven’t changed much since the 1970s. Think about it – the 1970s! It’s no secret that extract, transfer, and load (ETL) processes remain the bane of data consumers’ existence, largely because many enterprises are still using 25-year-old solutions to manage ETL and integrate data.

Cloud Computing

The good news is, data integration is becoming much easier to do, and is well on its way to becoming invisible. Enterprise integration cloud technology promises to replace slow and cumbersome scripting and manual data movement with fast, open, seamless data pipelines, optimized with AI techniques.

Remember how, as Internet use exploded in the late 1990s, the tech industry was abuzz with companies offering all manner of optimization technologies, like load balancing, data mirroring, and throughput optimization? These days you never hear about these companies anymore; we take high-performance internet service for granted, like the old-fashioned dial tone.

I am confident that we are embarking on a similar era for enterprise data integration, one in which modern, cloud-first technologies will make complex data integration processes increasingly invisible, seamlessly baked into the way data is stored and accessed.

Making history with data integration

I had the pleasure of meeting Walt some years ago at his office, a miniature museum with many of the personal tech industry’s greatest inventions on display. There, his love of tech was apparent and abundant. Apple IIe? Nokia Communicator 9000? Palm Treo and original iPod? Of course. If Walt were to be at his keyboard, in his office, for another couple of years, I’m pretty sure his collection would be joined by a technology with no physical form factor, but of even greater import: the enterprise cloud.

Hats off to you, Walt. And while you may have given your final sign-off, “Mossberg out,” enterprise tech is most definitely still in.

Follow me on Twitter @gdhillon.

Gaurav Dhillon is CEO of SnapLogic. You can follow him on Twitter @gdhillon.

Iris – Can you build an integration pipeline for me?

The promise of Artificial Intelligence technology is flourishing. From Amazon shopping recommendations, Facebook image recognition, and personal assistants like Siri, Cortana, and Alexa,  AI is becoming part of our everyday lives, whether we know it or not. These apps use information collected from your past requests to make predictions and deliver results that are tailored to your preferences. 

The importance of AI in today’s world is not lost upon us at SnapLogic. We are always trying to keep up with the latest innovations and technologies, so making our software fast, efficient, and automated for our customers has always been our goal. With the Spring release, SnapLogic launched the SnapLogic Integration Assistant. The SnapLogic Integration Assistant is a recommendation engine that uses Artificial Intelligence and machine learning to predict the next step in building a data pipeline architecture. Iris uses advanced algorithms to collect information from millions of metadata elements and billions of data flows to make predictions and deliver results that are tailored to the customer’s needs.

Currently, customers build pipelines by searching and selecting from over 400 Snaps in the SnapLogic catalog and dragging and dropping them into the canvas. Repeating this step for every single Snap, although easy, can make a pipeline building process somewhat tedious and time-consuming. But with the Integration Assistant, operations like these are simplified to give business users the right next steps in the building process, making pipeline building easy and efficient. Besides efficiency and speed, the “self-driving” software shortens the learning curve for line-of-business users to manage their data flows while freeing technology staff for higher-value software development. See how it works in this video.

In the next few steps,  learn how to enable this feature and start building interactive pipelines yourself.

Right now, we have two ways of building pipelines:

  • Choose a Snap from the SnapLogic catalog
  • Use the Integration Assistant for recommending the right Snaps

How to enable the Integration Assistant feature

By default, the Integration Assistant option is turned off,  allowing you to continue building pipelines by selecting Snaps in the SnapLogic Catalog. However, to utilize the Integration Assistant, just head to the Settings icon and check the Integration Assistant option.

Once the Integration Assistant is enabled, you’ll immediately see the benefits of the self-guided user interface. Drag the first snap onto the canvas and the Integration Assistant instantly kicks in and highlights the next suitable Snap. At the same time, it also opens up another panel that lists suggested Snaps on the right-hand side of the canvas. These AI-driven Snap recommendations are based on the historical metadata from your previous workflows.

Next, you can choose to click the highlighted Snap or pick from the recommended list by dragging the suitable Snap into the canvas. This process continues further until you select a snap with a closed output. At this point, the Integration Assistant will stop suggesting Snaps and the pipeline will be ready for execution.

As you can see, the Integration Assistant improves your pipeline building experience by suggesting Snaps that are the best fit for your organization based on the historical metadata flows.

Interested in learning more? Watch a quick demo on our YouTube channel – SnapLogic Spring 2017: Integration Assistant.”

Namita Prabhu is Senior QA Manager at SnapLogic.