5 DataOps Best Practices For Cloud-Based Application Development

Fast moving application development teams increasingly leverage the flexible capacity and operational efficiency of the cloud to increase agility. Experiences with cloud-based lower-level environments are an opportunity to re-architect IT processes and establish new security policies, increasing knowledge and confidence when it’s time to migrate production workloads.

This is a time to optimize DevOps workflows and remove overhead that will hinder cloud adoption and scale in the future. The same should be true for the data pipeline that feeds the release train.

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Tealium Newsletter Featuring Gartner Analyst Note: Building a Foundation for a Data-Driven Customer Experience Future

Nearly a decade ago, advances in digital transformation and big data put achieving a 360-degree view of the customer on the roadmap for many organizations. Along the way, many companies focused their efforts on the experience layer, hoping to keep up with industry disruptors like Amazon and Apple, which have consistently raised consumers' expectations for what makes a great experience. As companies try to catch up, many miss the critical component behind this success; excellent customer data management.

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Your Guide to Developing a Multi-Cloud Data Strategy

Organizations today are adopting cloud-based applications, platforms, and services to achieve greater elasticity and faster delivery times in today’s app-driven world.

As the name suggests, adopting a multi-cloud strategy means using multiple cloud services from different providers, with workloads spread out across cloud environments. While most businesses require rapid and flexible access to computing, storage, and networking resources, not all enterprises are pursuing multi-cloud for the same reasons.

Of course, not every team, business function, or application workload will have similar requirements in regards to performance, privacy, security, or geographic reach for its cloud environments. Whatever the impetus, companies must build a culture that puts data front and center in a world where every company is becoming a data company. This leads us to our main points: understanding key data challenges and getting your data ready for multi-cloud environments.

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5 DataOps Best Practices For Cloud-Based Application Development

Fast moving application development teams increasingly leverage the flexible capacity and operational efficiency of the cloud to increase agility. Experiences with cloud-based lower-level environments are an opportunity to re-architect IT processes and establish new security policies, increasing knowledge and confidence when it’s time to migrate production workloads.

This is a time to optimize DevOps workflows and remove overhead that will hinder cloud adoption and scale in the future. The same should be true for the data pipeline that feeds the release train.

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Gartner: Before You Buy: A Guide For Choosing a Customer Data Platform

In this newsletter, Tealium features the Gartner report, Market Guide for Customer Data Platforms for Marketing. We aim to identify obstacles caused by fragmented customer data silos & establish how CDPs can help data & analytical professionals at enterprise companies improve their first party data management. The recommendations come as the result of a yearlong study, in which Gartner analysts surveyed more than 400 martech end users and technology vendors, and collaborated with high-tier industry publications & reports for secondary research. Consequently, they offer comprehensive insight into CDPs available from a variety of vendors, and factors to consider when evaluating implementation.

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Red Hat Ansible Automation Platform

As enterprises share, vet, and manage automation content across domains of their business, they need a foundation of an automation language that multiple people in the organization can understand. Pathways between these different domains must evolve to link multiple automation use cases, and governance and analytics become necessary to look across and manage these automation pathways.

Red Hat® Ansible® Automation Platform is the foundation for building and operating automation services at scale, providing enterprises a composable, collaborative, and trusted execution environment. It meets customers where they are in their automation journey, bringing them a flexible automation platform to facilitate success from multiple points in their IT infrastructure. Ansible’s simple, easy-to-read automation language has made it easy for teams across an organization to share, vet, and manage automation content. Now, Ansible Automation Platform helps create an ecosystem for sharing the best automation content across the entire IT organization.

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Network Automation for Everyone

Network automation is critical for supporting the increasing application and workload needs of modern, digital business. Red Hat® Ansible® Automation Platform provides an automation engine, a management interface, automation analytics, content management, and support—for better control over and visibility into network resources. As a result, businesses can improve infrastructure availability, staff productivity, network security, and configuration compliance.

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Improving compliance with network automation technology

Enterprises can build network automation initiatives that improve compliance and reduce risk. This analyst paper from Enterprise Management Associates (EMA) makes the business case for network automation, examines the roadblocks that an organization might encounter, and offers guidance on how to implement an effective compliance strategy with network automation.

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2020 Report: State of the CDP

In the 2020 Tealium State of the CDP Report, we asked over 300 U.S. decision makers in marketing and data/analytics how they are leveraging CDPs today, the challenges they face with current vendors and their future plans for CDP technology. The results reveal that many organizations are still searching for the right solution: 58% of respondents with CDPs said they are planning to switch to a different provider within the next 12 months.

Something needs to change for customer data to reach its full potential. Businesses need greater clarity into what CDPs do, how to select the right CDP and how to optimize the technology — or they risk missing out on enormous CDP benefits.

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Success Story: Pizza Hut fast-tracks app adoption with new mobile customers

The Hut Rewards and UA teams embraced a test-and-learn mentality, and in October of 2019, they presented an innovative plan – to feature QR codes on in-store displays, direct mailers, and pizza box toppers to drive customers to download the app. OneLink from AppsFlyer was the clear choice to power Pizza Hut’s QR codes, ensuring they could measure the impact of their new offline campaign with minimal development required and robust attribution reporting and analytics built right in. OneLink also ensured a seamless user experience, operating across mobile platforms, and allowing the flexibility for QR codes to be updated after being deployed via print.

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Ebook: Fighting financial crime – Top 5 data and analytics approaches

Financial services institutions lost over $1.45 trillion in combined revenue to financial crimes in 2018, and this is increasing ever rapidly. Today’s leading financial institutions are increasingly relying on data, analytics, machine learning, and AI technologies to capitalize on the information needed to combat financial crime—converting raw data into actionable insights. Here are the top five approaches that have the greatest impact when creating next-generation approaches to fighting financial crime.

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Ebook: Connected manufacturing – Top 5 data and analytics use cases

Analytics, machine learning, and artificial intelligence are reshaping manufacturing. The most innovative manufacturing companies are applying industrial IoT concepts, coupled with data and analytics, to transform their product development, supply chains, and manufacturing operations. Here are the top five areas where manufacturers are using the power of analytics and machine learning to drive business success.

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Harnessing Data Lifecycle Webinar

Customer data and analytics can take many forms, from descriptive analytics on operational data to inferring customer sentiment based on real-time social media feeds. With a variety of analytical tools for streaming, operational and unstructured data, businesses are asking more questions of more data. Yet, deriving and operationalizing the best answers effectively can be a matter of connecting the dots across different analytical workflows and the different teams, from BI analysts to data scientists, that use them.

    In this webinar, we’ll explain how integrated analytics experiences on Cloudera Data Platform (CDP ) can help you:
  • Connect the dots to efficiently deliver the right data and analytical outputs to the right systems at the right time, to operationalize insight effectively
  • Quickly stand up a data mart from multiple data sources and analytical workloads
  • Analyze data and then use machine learning for predictive analytics and streaming natural language processing
  • Enable a richer, data-driven business understanding of customer experience, what’s driving it, and what to do about it, in real-time.

The webinar includes a live demo and Q&A with our expert panel. We hope to see you there!

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Solution brief: Logging Modernization

Logging Modernization is a holistic approach that unlocks the value of machine generated data by using a comprehensive streaming platform. This platform should include everything from real-time data ingestion, edge processing, transformation, and routing through to descriptive, prescriptive and predictive analytics. All of which should be securely shared across on- premises, public, or hybrid cloud environments.

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Webinar: Streaming Data with Cloudera Data Flow (CDF)

IT is no longer relegated to the IT group. Lines of business are building new business applications that can drive their business’s top and/or bottom lines. These applications are increasingly stateless -- meaning that they rely on their underlying operational database to manage their state and work with IT to build, deploy and manage the database infrastructure. The application development lifecycle is accelerating with the broad adoption of cloud and the rise of dbPaaS where the database is fully managed and self-optimizes for the applications. In this session, we will show you how the Cloudera Operational Database offers an accelerated on-ramp to app development by offering a modern multi-model database that eliminates infrastructure management.

    During this demo, you will learn how to use the Cloudera Operational Database to:
  • Create a new database & new schema
  • Write your first hello-world application using the database

    Speakers:
  • Krishna Maheshwari
    Director Product Management
    Cloudera
  • Mark Schoeni
    Technical Marketing

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