Resources

Cassandra Data Modeling Guide to Best Practices

Are you a developer, database architect, or database administrator that's new to Cassandra but have been tasked with developing a Cassandra schema design? Learn the basic rules to keep in mind when designing your schema for Cassandra.

Why Is Ad Hoc Reporting So Important?

Ad hoc reporting allows teams to act swiftly and accurately on the data they need, when they need it, rather than wait for data specialists to design custom reports and dashboards. IT and business users work together to alleviate workflow bottlenecks.

11 Email Deliverability Strategies to Reach the Inbox

Marketers highly value email as an effective, reliable channel to engage with your audience and drive revenue for your company. Yet, to reap the benefits, you must ensure your campaigns reach their intended recipients. Data Axle’s deliverability experts developed this guide to help you overcome the challenges that stand in the way of optimal inboxing.

10 Rules for Managing Apache Kafka

Kafka is a powerful piece of software that can solve a lot of problems. Like most libraries and frameworks, you get out of it what you put into it. Learn ten rules that will help you perfect your Kafka system to get ahead.

5 Reasons Why Choosing Apache Cassandra® Is Planning for a Multi-Cloud Future

Discover the reasons why choosing Apache Cassandra as a primary data store ensures that any future migrations to a different cloud provider or adoption of true multi-cloud are simple and easy.

Understanding Open Source Business Models for the C-Suite

Choosing software to bake into your architecture is a long-term decision and it is important to understand all the implications of your choice. Learn three key areas that should be considered when evaluating a particular open source project.

Achieve Manufacturing Digital Transformation

Competition has never been higher in manufacturing. Survival of the fittest is linked not to size or strength, but to the ability to change, adapt, and seize opportunities. Because of this, factories are increasingly being relied upon to handle more complex operations to serve a broader range of products. To perform this effectively, smart manufacturing is key.

2021 State of Automatic Speech Recognition Report

Speech is a powerful tool for the enterprise with the ability to unlock insights and automate actions. This space is growing and almost every company is investing in some form of Automatic Speech Recognition (ASR) - but the question remains, are they using speech to its full potential? To answer this question, Deepgram partnered with Opus Research to examine the state of ASR in the enterprise across 400 decision-makers.

5 Tips to Advance Your Career as a Technical Recruiter

Just as the tech industry revolves around innovation, so does technical recruiting. Modern recruiters must commit to actively adapting and advancing their hiring strategies to advance their careers by attracting top candidates in a competitive landscape. This step-by-step guide is designed to provide technical recruiters with tips and tricks to achieve tangible results that accelerate their recruiting efforts—and career.

5 Key Elements for Building a Successful Data-Driven Product

Leading brands and local businesses alike are tapping into varied business and consumer data to power their products and meet consumers’ ever-evolving needs. But companies need to remember that a product can only be as good as the data that powers it. When selecting data providers, companies must ensure they’re tapping into comprehensive, high-quality streams of fresh information which can be easily integrated into their products in a privacy-compliant manner.

The 7 Ways to Source and Attract Diverse Technology Talent

Just talking about diversity and inclusion won’t move the needle. Diversity, equity, and inclusion efforts are at the forefront for organizations looking to recruit and retain top talent, but nowhere does this remain more of a challenge and opportunity than in the tech sector. In this guide, we provide seven strategies organizations can use to source and attract diverse tech talent.

The Next-Generation Cloud Data Lake: An Open, No-Copy Data Architecture

In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs. To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake.

Deliver Effective Online Education and Events Your Members Will Love

This guide identifies the biggest challenges for associations moving their training online and provides practical solutions so that you can hit the ground running. Download now to keep your members engaged and growing even in times of COVID-19.

The Retailer’s Playbook for Customer Acquisition

The economic disruption of 2020 has left retailers facing a host of barriers to growth. Now more than ever – one need remains consistent: a successful customer acquisition program. We developed this guide to help retailers build a data-centric acquisition program that lowers their acquisition costs, eliminates wasteful spending, attracts high-value customers and provides a competitive advantage in a tight market.

10 Keys to AI Success in 2021

Data Robot

Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. But it’s not always easy for organizations to do. In our 10 Keys to AI Success in 2021 eBook, we draw from the engaging conversations we’ve had with guests on our More Intelligent Tomorrow podcast series to show how organizations are overcoming hurdles and realizing the enormous rewards that AI can bring to any organization.

MLOps 101: The Foundation for Your AI Strategy

Data Robot

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). However, for most organizations embarking on this transformational journey, the results remain to be seen. And for those who are already underway, scaling their results across their organizations is completely uncharted waters. Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the mac

How to Choose an AI Vendor

Data Robot

You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor. This report explores why it is so challenging to choose an AI vendor and what you should consider as you seek a partner in AI.

Realizing the Benefits of Automated Machine Learning

Data Robot

While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? Renowned author and professor Tom Davenport conducted an in-depth study (sponsored by DataRobot) on how organizations have become AI-driven using automated machine learning. In this white paper, Davenport explains the rise of automated machine learning, its benefits, and success stories from businesses that are already using it to reali