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Best of 2021: Top 10 Data Integration Blog Posts

Authors Photo Precisely Editor | December 15, 2021

Data integration helps to connect today’s infrastructure with tomorrow’s technology to unlock the potential of all your enterprise data and as 2021 ends we wanted to share our most viewed Data Integration articles form the Precisely blog.

Let’s count down the Top 10 blog posts of the year.

#10 Precisely Announces Participation and Support of the Delta Sharing Protocol

The Databricks and Precisely strategic relationship continues to strengthen. In addition to the existing ingest and ETL capabilities of Precisely Connect for mainframe data, 2021 has brought software capabilities that bring geocoding and enrichment options to the Databricks Lakehouse Platform. Read more >

#9 How to Solve the Top 4 Data Integration Challenges of 2021

As the volume of data available to large organizations continues to increase, data integration challenges are becoming more difficult. Business leaders clearly understand that their data is a promising source of value, but the volume, velocity, and variety of data available today is daunting. It’s hard to keep up with all of the information flowing from mobile devices, IoT & telematics, clickstream analysis, transactional systems like mainframe, and a flood of unstructured data from social media and other user-generated online content. Read more >

#8 What Is a Data Pipeline and How Does It Work?

Data integration technology and practices have come a long way in the past two decades. The world has gradually moved away from batch integration between siloed systems toward a real-time data analytics-ready approach in which information flows seamlessly from one system to another, the moment a transaction is committed to the database. Read more >

#7 The Enterprise Data Hub: A Look at the Real Value of Data Integration

The typical IT landscape in a modern enterprise could include multiple ERP systems, CRMs, specialized operations or billing software, and much more. While each of those components plays an important role, the proliferation of systems across an organization presents a particular data integration challenge. Read more >

#6 Data Consolidation vs. Data Federation: What’s the Difference?

More than ever, enterprises are struggling with a multitude of applications and data sources, each with its own data model and constraints. To address these varying data requirements, organizations are turning to data integration. Read more >

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#5 5 Best Practices for Data Integration Techniques

Compared to two decades ago, when data integration techniques were a more straightforward operation for most organizations, data integration has become the connective tissue that holds the modern IT environment together. In the past it was a bit like a small-town road system, with few connection points, no traffic jams, and few road hazards with which to be concerned. Read more >

#4 6 Real-World Examples of Data Integration in Healthcare, Finance, Retail and More

Integrating data is the first step to unleashing its full potential. When companies have all their information in one place, they’re able to find the most important and accurate insights within it. Those insights are what gives companies an advantage over the competition.

It’s hard to overstate how transformative data integration is. It’s also hard to imagine exactly how it helps unless you’ve seen the benefits for yourself. Clear up any confusion by exploring some real-world data integration examples. Read more >

#3 Data Integration 101: What It Means and Why It’s Important

How can business intelligence analyses be effectively conducted on data that comes from many different sources and locations, each with its own unique formatting standards? Solving that problem is what data integration is all about. Read more >

#2 Streaming Data Pipelines: What Are They and How to Build One

In this article you’ll learn what streaming data pipelines are, how they work, and how to build this data pipeline architecture.

Enterprise technology is entering a watershed moment: no longer do we access information once a week, or even once a day. Now, information is dynamic. In fact, business success is based on how we use continuously changing data.

That’s where streaming data pipelines come into play. Read more >

#1 The Most Popular Data Engineering Tools

As they’ve begun to realize how valuable the data housed in their computer systems can be, many companies are embarking on data science initiatives to develop innovative ways of leveraging that value. That’s why data engineering has become one of the most in-demand IT disciplines today. Read more >

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