Posts by Seth Rao
How 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 large amounts of data is with a modern data stack. To build a data stack that meets your business needs, follow the five essential steps to ensuring the highest quality, most useable data possible outlined…
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. Unfortunately, Amazon charges hefty fees to transfer between locations, whether that’s to your on-premises network or to users on the public Internet. Learning how to reduce AWS data transfer costs is essential in minimizing expenses…
Read MoreData Mesh Vs. Data Lake: Data Architecture Wars and its impact on Data Trustability
Data Lake relies on a centralized data repository, while Data Mesh decentralizes data storage and management. It’s a war between different philosophies of data architecture, but your organization will eventually have to choose sides. So which is better for your business? Which is better for quick decisions and which is better for more reliable and…
Read MoreHow to Choose a Data Observability Platform
Not only do submarines not have screen doors, but they don’t have windows or external lights at all. Submarines primarily use a combination of sonar and radar to navigate, but in high-stealth situations, submarines are forced to travel blind, using nothing but measurements and maps to estimate their position. Piloting a submarine requires an intimate…
Read MoreDataBuck and Alation Join Forces to Turbo Charge the Data Catalog with the Open Data Quality Initiative
Quality data provides insights that organizations can trust when making big picture decisions. However, the weight of these individual records can often overwhelm even the biggest firms with a seemingly endless number of resources. The Open Data Quality Initiative from Alation aims to help companies deploy the latest tools and technologies like DataBuck to streamline…
Read MoreHow to Scale Your Data Quality Operations with AI and ML
How can you cost-effectively scale your data quality operations as your business scales? The key is to employ artificial intelligence and machine learning technology that can take on an increasing amount of the data quality management chores as they learn more about your organization’s data. It’s all in the about making the best use of…
Read More6 Key Data Quality and Data Trustability Metrics You Should Automate on Azure and Snowflake
Measuring the right Data Quality metrics ensures that you have the most trustable data. The more accurate is your data on Azure, Snowflake and other clouds, the more efficiently you can run your business. High-quality data reduces wasted time and effort, it also helps you make more informed decisions about your business operations. Next is being…
Read MoreAutonomous Cloud Data Pipeline Control: Tools and Metrics
Errors that get seeded in the data as it flows through the data pipeline, propagate throughout the organization and are responsible for 80% of all errors impacting the business users. High-quality data is essential to the success of any business or organization. It’s important to monitor your data pipeline to guard against missing, incorrect, old/not-fresh,…
Read MoreThe Importance of Data Quality for the Cloud and AWS
Data stored in the cloud is notoriously error-prone. In this post, you’ll learn why data quality is important for cloud data management – especially data stored with Amazon Web Services (AWS). With every step that error-ridden data moves downstream, those errors get compounded – and it takes 10 times the original cost to fix them.…
Read More3 Top Big Data Uses in Financial Services
Data warehouses, lakes, and cloud services are notoriously error prone. In the financial services (FinServ) sector, this is unacceptable. Unmonitored, unvalidated, and unreliable data places these firms at risk due to the sensitive nature of the big data they manage. If your FinServ firm needs solutions for its dark data issues, you’ll need to learn…
Read More