APIs have never been more instrumental in business. Organizations use them to deepen partnerships, accelerate development, integrate capabilities, and generate revenue. These business drivers, combined with the rise of microservices, drive incredible growth in the API space. According to the most recent State of Software Quality API report, 61% of survey respondents chose microservices as the technology that will most likely drive API growth.
The Covid-19 pandemic has resulted in an unprecedented global economic landscape that is dominated by loose monetary policies, low borrowing costs and influx of capital in the equity markets. Against that backdrop, Mergers and Acquisitions (M&A) activity has surged since 2021 as companies are trying to take advantage of the current environment and adapt to the new business realities shaped by the global pandemic.
Over the past few years, we’ve seen incredible growth in the number of data apps being built on Snowflake, including large customer-facing apps from companies such as BlackRock, Instacart, Lacework, and others. We’re proud of the fact that our platform helps developers bring these applications to life faster, scale better, and provide more powerful insights to their users, whether they be employees, partners, or customers.
Market disruptions over the past two years have driven a global surge of mergers and acquisitions. According to Ernst & Young, the first six months of 2021 saw a record $2.6 trillion in M&A activity, obliterating normal levels that hovered around $1.5 trillion per six months prior to the pandemic.
Since I’m now migrating NodeGraph’s processes to Qlik, I thought it may be a good time to talk about migrating data during a merger or acquisition. There are many aspects to consider. Here are some of my thoughts on why companies merge or migrate data landscapes, common M&A migration pitfalls and how to avoid them, the time and cost involved migrating data during a merger or acquisition, and other topics.
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