Why enterprises must meet millennials’ expectations

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Millennials’ attitudes in the workplace have gotten a bad rap, the roots of which are explored in this extremely popular video by author and speaker Simon Sinek. But this blog isn’t a slam on millennials’ expectations for job fulfillment. It’s about meeting their expectations of how easy it should be to use enterprise technology — and that’s a good thing.

A very vocal majority

Since 2015, millennials have been the largest demographic group in the US workforce, numbering 53.5 million. They are now mainstream enterprise tech consumers, and there’s a thing or two we can learn. For example, millennials came of age using smartphones. In fact, 97% of millennials aged 25-34 own a smartphone. And I doubt that a single one would want to give up their smartphone for a separate flip phone, music player and camera.

The reality is, we live in an age where people expect multiple utility from technology, a driving force in innovation. How about a washer that also dries your clothes, that’s pretty rad. Or the motorcycle helmet that puts an entire dashboard of information right in front of your eyes, that’s radder still.

Expectations for multiple utility are similarly all over the workplace, and millennials are approaching the data consumption challenge with a clean slate. They say it should be easy, like a smartphone, and be self-service. Once again, millennials are clamoring for multiple utility.

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SnapLogic meets millennial expectations of modern business

This is an area where SnapLogic trumps legacy technologies. On its best day, the 25-year-old data integration technology offered by Informatica creates ETLs (extract, transfer, loads) and has some other capabilities added on. But at its core, Informatica was designed to deal with batch, relational, ETL-like kinds of problems. Unfortunately, no one in the working world, not even retiring Boomers, lives in batch mode. Business change happens in real-time, and our data and analytics need to support that.

From day one, SnapLogic’s integration platform has been designed to solve all kinds of data-in-flight problems in the enterprise. These include, as we called them in the last century, application integration problems like connecting Salesforce with SAP, or data integration problems, providing information feeds to solve modern analytic sorts of questions. We can use SnapLogic’s application integration architecture to solve problems with technologies that weren’t widely available in the last century like predictive analytics, machine learning, or wiring up large industrial enterprises with IoT sensors, to give you new profit pools and help do a better job of building products.

That’s the kind of multiple utility that people expect from their technology — it’s not about feeds or speeds, it’s about having a smart phone versus having a separate phone, camera and music player. That’s just so 1992, you know?

This is the “match point” that SnapLogic can defend into eternity. Hundreds of our customers around the globe testify to that. Almost all of these companies had some flavor of Informatica or its competitor, and they have made the choice to move to SnapLogic. Some have moved completely, in a big bang, and others have side-by-side projects and will migrate completely to SnapLogic over time.

Want to learn more about meeting today’s lofty expectations for enterprise tech? Read SnapLogic’s new whitepaper that captures my conversation with James Markarian, SnapLogic’s CTO and also an Informatica alumnus: “We left Informatica. Now you can, too.”

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The need for speed: Why I left Informatica (and you should, too)

guarav_blog_headshotInformatica is one of the biggest, oldest names in enterprise technology. It’s a company I co-founded in 1992 and left over 10 years ago. Although the reasons why I left can be most easily summarized as “disagreements with the board over the direction of the company,” it all boils down to this: aging enterprise technology doesn’t move fast enough to keep up with the speed of today’s business.

About a year after I left, I founded SnapLogic, a company that has re-invented data integration for the modern enterprise — an enterprise that is increasingly living, working and innovating in the cloud. The pace at which enterprises are shifting operations to the cloud is reflected in stats like this: According to Forrester Research, the global public cloud market will top $146 billion in 2017, up from $87 billion in 2015.

Should you ride a horse to the office?

need-for-speedGiven the tidal wave of movement to the cloud, why would a company stick with Informatica? Often, it’s based on decisions made in the last century, when CIOs made strategic commitments to this legacy platform. If you’re the CIO of that shop today, you may or may not have been the person who made that decision, but here you are, running Informatica.

Going forward, does it make sense to keep running the company on Informatica? The truthful answer is it can, just as you can run a modern company on a mainframe. You can also ride a horse to the office. But is it something you should do? That’s where I say “no.” The direct path between a problem and a solution is to use appropriate technologies that are in synch with the problems being solved, in the times and the budget that are available today. That is really the crux of Informatica inheritance versus the SnapLogic future.

It’s true that the core guts of what is still Informatica — the underlying engine, the metadata, the user interface and so on — have to some extent been replenished. But they are fundamentally still fixed in the past. It’s like a mainframe; you can go from water cooling to air cooling, but fundamentally it’s still a mainframe.

The high price of opportunity cost

IT and business people always think about sunk costs, and they don’t want to give up on sunk costs. Informatica shops have invested heavily in the application, and the people, processes, iron and data centers required to run it; these are sunk costs.

But IT and business leaders need to think about sunk opportunity, and the high price their companies pay for missing out because their antiquated infrastructure — of which Informatica is emblematic — doesn’t allow them to move fast enough to seize opportunity when they see it.

Today, most enterprises are making a conscious decision to stop throwing good money after bad on their application portfolios. They recognize they can’t lose out on more opportunities. They are switching to cloud computing and modern enterprise SaaS. As a result, there’s been a huge shift toward solutions like Salesforce, Workday and Service Now; companies that swore they would never give up on-premise software are moving their application computing to the cloud.

Game, set, match point

In light of that, in a world that offers new, ultra-modern technology at commodity prices, you start to realize, “We ought to modernize. We should give up on the sunk costs and instead think of the sunk opportunity of persisting with clunky old technology.”

This is the “match point” that SnapLogic can defend into eternity. Hundreds of our customers around the globe testify to that. Almost all of these companies had some flavor of Informatica or its competitor, and they have made the choice to move to SnapLogic. Some have moved completely, in a big bang, and others have side-by-side projects and will migrate completely to SnapLogic over time.

Need more reasons to move fast? Read SnapLogic’s new whitepaper that captures my conversation with James Markarian, SnapLogic’s CTO and also an Informatica alumnus: “We left Informatica. Now you can, too.”

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Future Data Movement Trends with SnapLogic

Data volumes are exponentially increasing and many organizations are starting to realize the complexity of their growing data movement and data management solutions. Data exists in various systems, and getting meaningful value out of it has become a major challenge for many companies. Also, most of the data is usually stored in relational systems like MySQL, PostgreSQL and Oracle, these being the mainstream databases primarily used for OLTP purposes. NoSQL systems like Cassandra, MongoDB and DynamoDB have also emerged with tunable consistency model in order to store some of these mission critical data. Customers then typically move these data to much bigger systems like Teradata and Hadoop (OLAP) that can store large amounts of data, so they can run analytics, reporting or complex queries against it. There is also a recent trend where some of these data are moved to the cloud, especially to Amazon RedShift or Snowflake and also to HDInsights or Azure Data Warehouse.

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SnapLogic Sits Down with theCUBE at AWS re:Invent to Talk Self-Service Cloud Analytics

SnapLogic was front-and-center at AWS re:Invent last week in Las Vegas, with our team busier than ever meeting with customers and prospects, showcasing our solutions at the booth, and networking into the evening with event-goers interested in all things Cloud, AWS integration and SnapLogic.

Ravi Dharnikota, SnapLogic’s Head of Enterprise Architecture and Big Data Practice, took time out to stop by and visit with John Furrier, co-founder of the live video interview show theCUBE.  Ravi was joined by Matt Glickman, VP of Products with our partner Snowflake Computing, for a wide-ranging discussion on the changing customer requirements for effective data integration, SaaS integration, warehousing and analytics in the cloud.  

The roundtable all agreed — organizations need fast and easy access to all data, no matter the source, format or location — and legacy solutions built for a bygone era simply aren’t cutting it.  Enter SnapLogic and Snowflake, each with a modern solution designed from the ground-up to be cloud-first, self-service, fully scalable and capable of handling all data. Customers using these solutions together — like Kraft Group, owners of the New England Patriots and Gillette Stadium — enjoy dramatic acceleration in time-to-value at a fraction of the cost by eliminating manual configuration, coding and tuning while bringing together diverse data and taking full advantage of the flexibility and scalability of the cloud.

To make it even easier for customers, SnapLogic and Snowflake recently announced tighter technology integration and joint go-to-market programs to help organizations harness all data for new insights, smarter decisions and better business outcomes.

To watch the full video interview on theCUBE, click here.

Connect with SnapLogic at AWS re:Invent

This week, the SnapLogic team will be supporting one of our partners, Amazon Web Services, in Las Vegas for the annual AWS re:Invent conference. This gathering of the global AWS community will feature hands-on labs and bootcamps and cover topics such as infrastructure maintenance, and improving developer productivity, network security and application performance.

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Enterprise IoT: Watching Cat Videos Without Getting Caught (or, How I Learned to Stop Looking Over My Shoulder and Trust the CEO Proximity Alert

We have a slight problem at SnapLogic. While we spend a vanishingly small percent of the day watching adorable cat videos on the Internet, it seems our CEO always shows up behind our desks while doing so. If only we knew when our CEO was nearby and could get an alert when he was.

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The Evolution of IOT Data Management with Joseph A di Paolantonio

Today’s post comes from Joseph A. di Paolantonio, an industry expert working at the convergence of IoT with data management and analytics at DataArchon.com and the Boulder BI Brain Trust. Leveraging a career that started with renewable energy research in graduate school and industry, developing risk assessment models and algorithms for aerospace systems, and managing teams for enterprise data warehousing, BI and data science, Joseph is defining sensor analytics ecosystems to bring value from the IoT.

What’s IOT All About

We have been asking what the IoT is all about for a very long time. Since Kevin Ashton first coined the phrase in 1999, and perhaps even since Nikola Tesla first played with a remote control boat in 1898. For many, the simple act of connecting a device, not a computer, not a router, to the Internet is enough. But even if everything around us, in work, at home, for business, for play, was connected..Does this make the Internet of Things? Does this fulfill much of the hype or any of the stories surrounding the IoT? Not at all.

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