Incorta Direct Data Platform

The unified data analytics platform that provides everyone with the means to acquire, enrich, analyze, and act on business data with unmatched speed, simplicity, and insight.

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The fastest way to transform, connect, and prepare data from multiple data sources for complex analytics.

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Incorta Named for First Time in Magic Quadrant™

CEO Scott Jones shares insights on Incorta being named in the 2022 Gartner® Magic Quadrant™ for Analytics & BI Platforms. "The data warehousing paradigm can no longer keep up with the demands of today’s world."

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Incorta Named for First Time in Magic Quadrant™

Migrating to Cloud? Here’s Why You Should Move the Data First, Systems Second

by: Osama Elkady, co-founder and CTO

As co-founder and CTO of Incorta, I talk to a lot of businesses about digital transformation. Today, that means moving everything to the cloud. 

I often hear business leaders say, "I want to move our ERP system to the cloud first, and then we will start thinking about moving the data to the cloud." This is the wrong strategy.

Yes, you should move your ERP system to the cloud — absolutely. But migrating your data first is a much better strategy. Here’s why:

 

Time to Value Matters

Migrating data to the cloud is relatively quick and easy. It’s a project that should take no more than a matter of days. Moving your ERP system, on the other hand — or any other operating system for that matter — can take months or even years. 
 
Because you depend on these systems to run the business, you have to plan their migration very carefully. You have to be thoughtful about change management as well. It is a very big undertaking and the stakes are high. 
 
The last thing you want is your data getting tied up in this process. Instead, spend a few days migrating your data to the cloud first. That way, you at least have the option to do useful and productive things with the data while you wait for business systems to cross the divide. 
 
 

Data Analytics and AI – the Perfect Cloud Use Cases

Analytics and AI are two of the most useful and productive things you can do with data. Both are also perfect use cases for data in the cloud. 
 
Why? Because data analytics and AI consume HUGE amounts of processing power — typically in short bursts. That’s problematic when you operate on premises: You need to manage costs, but there’s no way to predict when important questions will come, or what they will be. You have to keep machines on standby — ready to spin up at a moment’s notice. 
 
That’s not the case in the cloud, where elasticity is instant and infinite. In fact, the cloud is the perfect environment for running data analytics. Why wait to put it to work?
 
 

A Safer Place to Store Data

These days the cloud is more secure than local storage systems by a long shot. Network connectivity is extremely reliable and big cloud vendors offer enterprise-grade assurances for security, compliance, disaster recovery, and availability. Select a cloud platform that ensures row-level data security and the transition will be even safer and more reliable for your organization. 
 
What’s more, with all of the big cloud providers focusing on block storage these days, it now costs next to nothing to store what essentially amounts to unlimited volumes of data — automatically backed up and encrypted. 
 
If companies realized how much they could save on disk costs, that alone would justify the move to cloud. Managing disks on premises is an expensive process. The only reason companies spend so much money on it though is because losing the data is not an option. Lose the data, lose the company. 
 
With data in the cloud, companies don’t have to worry about how much data they should keep anymore. Instead, it’s simple: keep it all — every last bit. 
 
 

Open Standards, Freedom to Innovate

One of the most exciting advances in cloud data storage in recent years is the proliferation of open standard file formats like ORC and Parquet. With the arrival of these new formatting options, we are in the early days of a new era of interoperability and innovation. 
 
In the past, every data system had its own unique language and formatting. This made it extremely difficult to access and analyze data across systems, which is problematic because that’s where the most interesting and valuable insights are often discovered. 
 
Not anymore. Thanks to open standard file formats, all of the systems you migrate into the cloud will operate on one central data repository in one single format. You can plug new systems into it and start doing interesting things with the data without needing to move it all the time. Essentially, you can create a data hub for all systems, which is hugely valuable. It’s also a powerful springboard for innovation. 
 
And therein lies the most important point: Cloud migration alone is not enough to proclaim true digital transformation as a company. You also have to embrace the powerful new, cloud-native features and capabilities enabled by this technology. 
 
The sooner you migrate your data, the sooner you can start experimenting. 
 
Ready to see how Incorta can help? Our platform connects to any data source with an extensible connector architecture and access to 240+ data drivers. Full, incremental, and parallel loads are supported. Check out our newly-released guide to Incorta's architecture to learn more — or spin up a free trial and try it out for yourself.

 

 

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Join us on May 26th for a full-day, LIVE, and fully virtual event bringing data architects, data engineers, data analysts, and data scientists together to go in-depth on the latest trends, technologies, and best practices for building and managing modern data pipelines in the cloud.

At Zero Gravity, the technical visionaries who built and manage some of the world’s most robust and efficient cloud data pipelines will share their real-world use cases, what they’ve learned along the way and what they see coming next. You’ll see thought-provoking presentations by Google Cloud CEO Thomas Kurian, Microsoft Azure Data Corporate VP Rohan Kumar and top data management, data analytics and data science experts from companies like Meta, Netflix, and Comcast.

Click here to save your spot!