Systems | Development | Analytics | API | Testing

Analytics

What Are the Top ETL Tools for Azure Data Warehouse?

Azure Synapse Analytics, still commonly known as Azure Data Warehouse, is Microsoft's cloud data warehouse that processes relational and non-relational data for analytics. As one of the most popular data warehousing tools, Azure lets you generate real-time insights into almost every aspect of your business, from sales to customer service. But how do you get data to Azure in the first place? That's where an Extract, Transform, and Load (ETL) tool proves useful.

In an Environment of Information Overload, Ensuring You Focus on the Right Information Is Critical

During the holiday break, our family had to get tested for COVID. We got at-home tests, as they were available, and it was easier than having to wait in line at a testing center. This got me thinking of a recent article in the New York Times, which raises the notion that experts are questioning the importance/value of measuring COVID caseloads with the rise in the use of at home tests.

Snowflake for Data Lakes and Beyond

Organizations are faced with the difficult task of designing architectures to make the most of their data, often resulting in complex systems that are difficult to maintain and scale. Snowflake’s platform supports a variety of data types and workloads at scale, so organizations can easily implement their architectural design pattern of choice, including data lakes, data warehouses, and more. In this session, hear from product managers Saurin Shah and James Malone on Snowflake’s vision for data storage to simplify data architectures, including demos of recent innovations.

How Will First-party Data Be the Game Changer of 2022?

A lot of things got easier in 2021 as technology advanced tremendously to continue making the digital world more accessible and integrated into our everyday lives. But luckily there was something that got harder in 2021: being irresponsible with data. You see, with great power comes great responsibility, and as people’s data gets poured online, more and more restrictions appear to ensure that data is always safe, without exceptions.

The Ultimate Guide to Data Aggregation

Data aggregation is the process of gathering data from different sources and combining them into one place. Data aggregators can be used for many things, including predicting trends, identifying potential customers, tracking your competitors, analyzing customer feedback on social media, and much more. This guide will introduce you to all the ways that data aggregation can help your business.

96 Percent of Businesses Can't Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

According to 451 Research, 96% of enterprises are actively pursuing a hybrid IT strategy. Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. Cloud technologies and respective service providers have evolved solutions to address these challenges.

As Data Explodes, Storage-as-a-Service Takes Hold

Digital transformations are fueling the equivalent of a global data gold rush. We know from leading analyst firms that 90% of all data was created in the last two years and it will grow by a factor of two over the next five years. This has resulted in a changed perception of business, one that requires a shift from conventional business models to those that leverage data to gain actionable insights to improve operations, enhances customer experience and accelerates revenue.