Posts by Giana Reno
What Is Plaguing IoT Data? (+ Tips to Get Accurate IoT Analytics)
Around the globe, the number of connected devices forming the Internet of Things (IoT) is growing rapidly, with current projections predicting the total fleet of IoT devices will double — from 15.1 billion in 2023 to 29 billion — before the end of the decade. As devices proliferate, organizations increasingly rely on IoT analytics to…
Read MoreHow to Build a Data Mesh Architecture
Is your organization ready to implement a data mesh architecture? Building a data mesh involves transitioning from a centralized to a decentralized data management model. You need to create a framework that pushes data storage and management from a monolithic entity to multiple data domains while improving access and scalability. To do this, you need…
Read MoreHow to Create a Data-Driven Culture in Your Organization
Quality data enables businesses to make informed decisions, maximize profits, and implement data-driven technologies. The catch? Obtaining the data can be difficult, and monitoring it for quality without the right tools can be inefficient or even ineffective. To maximize your data, you need a data-driven culture built on the right data quality tools. In this…
Read MoreThe Definitive Guide to Data Management in the Enterprise
What is enterprise data management—and how does data management impact your organization? Data management is essential to any enterprise, ensuring that all the organization’s data is reliable, accessible, and secure. Proper data management helps enterprises make more informed decisions and better control their daily operations. It’s how successful companies turn raw data into useful analysis. …
Read MoreAzure Data Factory and Synapse: Ensuring Data Quality and Validation
Any enterprise that relies on raw data from multiple sources can benefit from the data ingestion features of Microsoft’s Azure Data Factory. Coupled with Azure Synapse Analytics, users can extract detailed analysis and insights from that data. Azure Data Factory and Synapse both require clean, high-quality data, which isn’t always available when ingesting data from…
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 decisions—and lower profits. Do you know how to ensure high-quality data in your organization? The best way is to employ a data quality tool to identify bad data and either clean or delete it. Using…
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 you have to decide where (and how) to store them. Do you put everything in neat, organized containers in the fridge (like a data warehouse), or do you keep them all in one big pot…
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 have to deal with is rapidly growing – and becoming a significant problem for your organization. According to the PBT Group, the total amount of data created worldwide is expected to grow to 180 zettabytes…
Read MoreThe Real (and Scary) Cost of Bad Data
Bad data can cost you money. It can also damage your reputation, drive good customers away, and negatively affect your entire workforce. Bad data, more often than not, results in bad decisions – and bad decisions can destroy a business. The true costs of bad data are so overwhelming that they’re scary. If you don’t…
Read MoreData Warehouse Architecture: Traditional vs. Cloud
A data warehouse is a system that gathers data from various sources and makes it available to management and others to support and improve their decision-making. Data warehouses can employ either a traditional architecture or a cloud-based one. That brings us to the traditional vs. cloud data warehouse architecture topic. Which is best for your…
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