Resources

Address the Challenges of Siloed Monitoring Tools

Datadog

Companies frequently experience monitoring tool sprawl. Find out why monitoring tool sprawl occurs, why it’s a problem for businesses, and the positive business impacts of monitoring tool consolidation.

Cloud-Scale Monitoring With AWS and Datadog

Datadog

In this eBook, find out the benefits and complexities of migrating workloads to AWS, and services that AWS offers for containers and serverless computing.

What E-Commerce Performance Metrics Are CTOs Monitoring?

Datadog

In this eBook, Danny Miles, CTO of Dollar Shave Club, reveals an efficient framework for thinking about and prioritizing the performance metrics that matter most to him, providing a blueprint for fellow e-commerce CTOs to follow as they evaluate their own business.

9 Developer Enablement Practices to Achieve DevOps at Enterprise Scale

Datadog

In this eBook, Christian Oestreich, a senior software engineering leader with experience at multiple Fortune 500 companies, shares how a metrics-driven mindset can dramatically improve software quality and enable DevOps at enterprise scale.

The Forrester Wave™: B2B Marketing Data Providers, Q2 2021

ZoomInfo

In our 24-criterion evaluation of B2B marketing data providers, we identified the 11 most significant vendors — Data Axle, Dun & Bradstreet, Enlyft, Global Database, InsideView, Leadspace, Oracle, SMARTe, Spiceworks Ziff Davis, TechTarget, and ZoomInfo Technologies — and researched, analyzed, and scored them. This report shows how each provider measures up and helps B2B marketing professionals select the right one for their needs.

4 AI Hacks to Make Sales Teams More Efficient

ZoomInfo

Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data. Read on to learn the four AI hacks sales teams need to improve their performance. Download the eBook today!

How to Overcome the Pain Points of Your CRM

ZoomInfo

CRM software is a powerful tool when used correctly, yet another obstacle to a sales team’s efficiency when it’s not. Leveraging research and commentary from industry analysts, this eBook explores how your sales team can get back valuable time by overcoming some pain points with your CRM, such as low adoption rates, integrations, and data quality.

4 Data-Driven Steps To Drive Successful B2B Demand Generation

ZoomInfo

Fact: Good data lives at the core of every successful B2B demand generation strategy. Without quality data, it’s nearly impossible to identify and segment your target audience and create messaging that speaks to their values and interests. Whether you’re stepping into a new position or you’re new to demand generation, learning the tricks of the trade can be, well, tricky. In this eBook, you’ll discover how to improve your demand generation program—and your bottom line.

The Modern Customer Success Playbook

ZoomInfo

The evolution of every high-functioning, effective customer success strategy centers around three C’s: connected experiences, an engaging customer journey, and a culture built on customer-centricity. Satisfaction won’t cut it. Quarterbacking your customers to long-term success and growth is proven to combat churn and transform customer success teams into revenue-drivers. But where do you start? Download the playbook today!

A Proven Guide to Recruiting Passive Candidates

ZoomInfo

It's a simple, frustrating truth that you can't predict everything when it comes to recruiting for businesses. At some point in your role as a recruiter - perhaps more frequently than not - you'll need to fill a position quickly and you'll look for active recruitment strategies to do it. However, it's not efficient or cost-effective to be in the active recruitment mode all the time. It's important to also invest in building a passive candidate pipeline. Download the guide for tips that can help you build a recruitment strategy that attracts both active and passive candidates for the best possible mix.

The Unexpected Cost of Data Copies

This paper will discuss why organizations frequently end up with multiple data copies and how a secure "no-copy" data strategy enabled by the Dremio data lake service can help reduce complexity, boost efficiency, and dramatically reduce costs.

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.

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.

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.

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.

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

A next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake. This new open data architecture is built to maximize data access with minimal data movement and no data copies.

Top Considerations for Building an Open Cloud Data Lake

In this paper, we explore the top considerations for building a cloud data lake including architectural principles, when to use cloud data lake engines and how to empower non-technical users.

Ultimate Guide to the Cloud Data Lake Engine

This guide describes how to evaluate cloud data lake engine offerings based on their ability to deliver on their promise of improving performance, data accessibility, and operational efficiency as compared with earlier methods of querying the data lake.

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