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4 Data Paradigms We’ll Be Leaving Behind in 2021

 

As we kick off 2021, most of us are ready to hit the accelerator and hope to achieve new levels of business growth and insight. Some of the changes we saw in 2020 will be moving forward with us, including a new commitment to remote work and a mission to make data easily accessible to everyone across the business. There are several trends that we see shaping up to affect the way we work in 2021 – don’t miss our latest webinar, Top Data Integration Trends for 2021, where Matillion Senior Product Marketing Directors Paul Lacey and Mark Balkenende will discuss six of the biggest trends we see shaping the way we use data this year and beyond.

Join us on Thursday, January 21, at 1pm ET.

 

Say goodbye to 2020…and these 4 things

 

However, there are some data paradigms that we think should stay in 2020, relics of an older time that are ready to be replaced by new ideas, models, and technologies.

 

1. Pay-to-play data replication pipelines

 

New Year’s resolution: Don’t pay for pipelines in 2021. If you need to get your data into the cloud (and we recommend that you do), it shouldn’t cost you an arm and a leg to move it. The simple replication of data from a source to a target has become commoditized. At no cost, Matillion Data Loader, our SaaS pipeline tool, lets you do the job for free, in just a few clicks, supporting most of today’s common data sources.

 

2. Master data management

 

Still trying to “master” your data? Maybe that looks different than you think. Data teams and analysts alike are finally embracing the chaos of growing data volumes and sources, acknowledging the futility of trying to manage it all with a data mastering paradigm. With the average enterprise data program now working with more than 1,080 unique data sources, the idea of establishing a single source of truth is morphing into something more distributed. A new generation of data cataloging and lineage solutions have risen to help document these disparate datasets in a variety of decentralized applications.

 

3. On-premises data warehousing

 

Even though the future is in the cloud, the transition from on-premises data warehouses has been gradual for most companies. And many still have rationale for maintaining some data and analytics systems in-house. But as the world transitioned to remote working overnight, the final death knell for on-premises data warehousing may have sounded in 2020. With a 100 percent remote, distributed workforce, data teams no longer had patience for VPN-based security protocols, inelastic processing limitations, and a litany of other longstanding annoyances that became literal nonstarters in a socially-distanced environment. All told, the data integration software market grew 12 percent year-over-year in the midst of the downturn as enterprises stampeded to the cloud.

 

4. Fixed-fee enterprise software contracts

 

As COVID-19 forced hard decisions about budgets and headcount, data teams lost all patience for flat-rate legacy software contracts. Early adopters of the cloud reveled in the ability to turn up or down their monthly spend, based on usage tied to macro-dynamics in their industry. This flexibility in spending in turn gave them the flexibility to retain more valuable processes and personnel throughout the downturn. And many of those without that flexibility ramped up their search for modern usage-priced cloud solutions.

 

What’s trending in 2021?

 

If these four things begin to fade as 2020 grows more distant in the rear view mirror, what is in store for 2021? Attend the webinar to hear what six data trends you should watch for this year.

Top Data Integration Trends for 2021

Thursday, January 21, 2021

1pm EST

We don’t want to give too much away – register here.