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Best of 2019 – Top 10 Data Integration Blog Posts

2019 brought some exciting content in the realm of Data Integration. As the year comes to a close, let’s count down the Top 10 Data Integration blog posts of the year that brought us insight and knowledge into the world of Big Data!

#10 ServiceNow® Integration Best Practices for 2019

ServiceNow® has become the industry’s premier ITOM (Information Technology and Operations Management) platform. The list of companies using it for their IT, security, human resources, customer service, and business management workflows is growing rapidly. And now, with Ironstream for ServiceNow extending the reach of ServiceNow into the z/OS and IBM i environments, shops with those IBM systems are becoming significant participants in that expansion. Read more >

#9 Syncsort’s 2019 Data Trends Results: And the Survey Says…

As a product marketer, I’m always on the lookout for the latest trends, indicators and adoption rates that will help us better target and position our solutions to meet the needs of customers. And I’m particularly excited when we publish the results of our own Syncsort annual market surveys, since I get to help write the questions.

While the questions (and survey titles) have varied a bit over the five years we’ve been conducting our Hadoop (aka Big Data) (aka Data Trends) survey, the intent has remained constant: to understand how organizations are using data and technology to solve for challenges they face today, and prepare for the future. Read more >

#8 3 Real-World Change Data Capture Examples

Change data capture is a necessity. In order to ensure that the changes you’ve made over time in one data set are automatically transferred to a second data set, you must ensure that change data capture has taken place. There is even more than one method to carry out change data capture.

However, some methods work better than others. Read on to learn about three successful change capture examples. Read more >

#7 Change Data Capture 101: What It Is and Why It Matters

What is change data capture? Does it have any importance or bearing on the work that you do? We’ll answer the first question shortly, but the answer to the second question is most certainly “yes.” 

This article explores what change data capture is, why it matters, best practices for data change capture, and how Syncsort can help. Read more >

#6 Streaming Data Integration 101: Opportunities and Challenges

Raise your hand if this situation sounds familiar: you need to make a decision right away based on the most accurate, up-to-date information. However, the information resides in a number of different places across the company. So, how do you ensure that you get the data you need when you need it?

The answer is streaming data integration. Read on to learn what streaming data integration is as well as the challenges and opportunities it brings with it. Read more >

The New Rules for Your Data Landscape

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

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 on to learn what they are, how they work, and how to build one. Read more >

#4 Change Data Capture vs. Change Tracking: Three Real-World Examples

In today’s world, ensuring that the data your business depends on for its daily operations is always reliably up-to-date is an absolute necessity. That’s why two relatively new technologies, Change Tracking (CT) and Change Data Capture (CDC), have become vital tools for tracking changes made to the database systems that are at the heart of modern corporate IT. Read more >

#3 6 Real-World Examples of Data Integration

Integrating data is like turning coins into dollar bills—they’re fundamentally the same thing, but the final form has far more accessibility, practicality, and utility. 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. Read more >

#2 ETL vs. Data Preparation: What Are the Differences?

ETL (extract, transform and load) has for years been a workhorse technology for enabling analysis of business information. But now it’s being joined by a new approach, called data preparation or data wrangling. The two techniques are similar in purpose, but distinct in function and application. Let’s take a look a how the two compare. Read more >

#1 The Most Popular Data Engineering Tools for 2019

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 >

Make sure to download our eBook, “The New Rules for Your Data Landscape“, and take a look at the rules that are transforming the relationship between business and IT.

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