Blog Posts on Cloud, Data Lake, Data Quality Validation and Data Reconciliation
Informatica Data Quality (IDQ): Pros, Cons, and Alternatives
Informatica Data Quality (IDQ): Pros, Cons, and Alternatives Many enterprises worldwide rely on IDQ to monitor and manage the quality…
Read More10 Things a Data Quality Tool Can Do for You
Every company relies on data to make key business decisions. If that data is bad, it could lead to bad…
Read MoreHow to Build a Framework for Data Governance
Good data is the lifeblood of your organization. As data volume continues to rise, your ability to manage it could…
Read MoreThe Definitive Guide to the Modern Data Stack
How much value does your organization get from its data? To get the most benefit from your data—and to use…
Read MoreData Lake Vs. Data Warehouse: 3 Core Differences
Picture this: You’re a chef preparing a special meal tomorrow. You have all the ingredients you need today, but now…
Read MoreAll You Need to Know About Anomaly Detection
Maintaining data quality is important to any organization. One effective way to improve the quality of your firm’s data is…
Read MoreWhy “Data Trustability” is Essential for Building Trust in Smaller and Mid-sized Banks and Financial Services Firms
Seth Rao The recent collapse of lenders in the US has tested Americans’ faith in regional and community banks that…
Read MoreHow to Build a Data Stack That Works for You
How does your organization manage the volumes of data ingested each day? The most effective way to ingest and manage…
Read MoreHow to Reduce Data Transfer Costs in AWS
One out of three organizations today use Amazon Web services (AWS) to store and manage their online data and applications.…
Read MoreThe 1-2-3 Guide to Self-Service Data Ingestion
How much data does your organization ingest each day? If yours is like most companies, the amount of data you…
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