Marina Ladonko’s Post

Data file exchange is a game-changer for any business that needs to import data files into its systems, but what is it? 📂🚀 Find out what data exchange is and how it can help you safely and efficiently collect, validate, transform and import data files from customers, suppliers, partners, agents or other unmanaged external sources: https://buff.ly/3S68tSx #developers #csv #datamanagement #dev #dataonboarding

Data file exchange is a game-changer for any business that needs to import data files into its systems, but what is it? 📂🚀 Find out what data exchange is and how it can help you safely and efficiently collect, validate, transform and import data files from customers, suppliers, partners, agents or other unmanaged external sources : #developers #csv #datamanagement #dev #dataonboarding

📈 If you want to have data that your business can run on and trust, understanding and overcoming data import challenges is critical. Here are the six most common data file import challenges that businesses face and what you can do to resolve them: https://buff.ly/3vUxngc #developers #dev #datamanagement #developertools #csv

Manually onboarding data from CSV and other files is a tedious task for large companies that often manage thousands or even millions of unmanaged external sources. Flatfile's David Boskovic explains how innovative data exchange solutions can streamline this process, enhance efficiency and reduce costs. Read more here.

Traditional data integration and management tools have been around for years, but they sometimes make life challenging. 👀 By now, you've discovered that ETL and iPaaS solutions aren't quite right for your real-world data needs, and you're probably spending time and resources on complicated workarounds. Here's what data file exchange is and how it can help you efficiently deal with a huge variety of data file types and formats from numerous sources: #datamanagement #dataimports #csv #etl #dev #devtools

What is a data warehouse. Really? Is it just the storage point of the different data sources across an enterprise or a sum of all the moving parts that make it possible? For the end user, who only sees data-at-rest, the lineage of data that were Extracted, Transformed and Loaded (ETL) to form the data is inconsequential; until there is a breakdown of the continuous integration/development (CI/CD) processes. That raises the question of points of failure. Several of the resources we depend on today are often reliant on a few points of failure, some of which are highlighted in red in the diagram below. Such that when they collapse for whatever reason, the scramble to fix begins. A few ways to handle these failures can be 1. the simply "after a few seconds, try again, pretty please automation; preferably with the same parameters" 2. Don't fail at all, by ensuring to optimize resource calls below throttling/unhealthy queuing thresholds 3. Windowing batch calls to the smallest possible size with latency in mind 4. Scaling resources to exceed requests 5. A few others While there are some points of failures even as far as the libraries used in open source software which are completely out of our control. We can ensure a 99.99% uptime for up-to-date data for business and technical users with just a few of these little techniques to ensure reliability. How are you minimizing CI/CD failures?

You've heard that replatforming can elevate your business, but did you know that data migration is often the most challenging part? 👇 We're here to tell you that seamless data migration during replatforming is possible! Our latest blog post explores the intricacies of data migration and outlines key strategies to ensure a seamless transition. From pre-migration planning to post-migration validation, Orases has got you covered! 🔗 Read the full article: https://lnkd.in/e3MYXh3z #DataMigration #Replatforming #TechUpgrade

Why did the data catalog breakup with it's partner? because it couldn't handle so many relationships... on a serious note though, how many entities can your catalog responsively support? how many do you need to support, how does your catalog scale? Alex Solutions supports tens of millions, quite frankly, if the infrastructure is big enough to support the knowledge graph in all its glory, the limits are probably relatively boundless. but it remains an important question. Consider that a table is just one entity, if it has ten attributes it just jumped to 11 entities and those 10 attributes all have a relationship with the table. Your database now contains at least 21 records. Start adding views, stored procedures, ETL and reporting applications, it very quickly exploded to hundreds and then thousands and then millions of entries. Start adding data people, controls, technology describers and business processes, quality measures, KPIs and metrics and it extends further. Can your catalog adequately serve up the answers you need in this context?

Imagine you're in the middle of a major #data migration project—one that’s supposed to modernize your business and bring all your operations onto a sleek, new platform. The stakes are high, and your team is working around the clock to ensure everything is ready for the big move. But as you start transferring data, you quickly realize that what’s being migrated isn’t just clean, reliable information. Instead, you’re dealing with data that’s riddled with errors, inconsistencies, and duplicates. This scenario is all too common for many businesses migrating to new software. That's why we've identified 3 key cleaning standards you should implement during your next data migration to maximize success and protect your investment. Check them out: https://lnkd.in/g-QwuT98 #DataQuality #DataReliability

🚀 Introducing DBSync Data Compare 🚀 We’re excited to announce the release of our newest addition to our Data Replication platform—DBSync Data Compare! 🎉 Say goodbye to data inconsistencies and hello to a more seamless, accurate data management experience. With DBSync Data Compare, you can: 🔍 Compare data between source and target databases effortlessly 🤝 Match and consolidate data for a unified view ✅ Ensure data accuracy and integrity across environments ⚡ Optimize performance by identifying and resolving discrepancies Whether you’re migrating data, syncing databases, or ensuring consistency across complex environments, DBSync Data Compare has you covered. Ready to see how it works? Get all the details in our latest PR 👉 Read the full announcement https://lnkd.in/g6hdWZ43 #DataCompare #DBSync #DataManagement #DataAccuracy #ProductRelease #DataEngineers