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Published By: Gigaom     Published Date: Oct 15, 2019
Data pipelines are a reality for most organizations. While we work hard to bring compute to the data, to virtualize and to federate, sometimes data has to move to an optimized platform. While schema-on-read has its advantages for exploratory analytics, pipeline-driven schema-on-write is a reality for production data warehouses, data lakes and other BI repositories. But data pipelines can be operationally brittle, and automation approaches to date have led to a generation of unsophisticated code and triggers whose management and maintenance, especially at-scale, is no easier than the manually-crafted stuff. But it doesn’t have to be that way. With advances in machine learning and the industry’s decades of experience with pipeline development and orchestration, we can take pipeline automation into the realm of intelligent systems. The implications are significant, leading to data-driven agility while eliminating denial of data pipelines’ utility and necessity. To learn more, join us fo
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Gigaom
Published By: AWS     Published Date: Oct 07, 2019
Securing cloud environments is different from securing traditional data centers and endpoints. The dynamic nature of the cloud requires continuous assessment and automation to avoid misconfigurations, compromises, and breaches. It can also be difficult to gain complete visibility across dynamic and rapidly changing cloud environments — limiting your ability to enforce security at scale. On top of these challenges, cloud governance is critical to maintain compliance with regulatory requirements and security policies as they evolve. Because cloud deployments are not just implemented once and left untouched, organizations need to consider how to integrate security into their CI/CD pipeline and software development lifecycle. Implementing a security solution that addresses cloud challenges requires deep security and cloud expertise that organizations often do not have. Once in the cloud, organizations manage and create environments via automation, adapt their workloads to changes by automa
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AWS
Published By: AWS     Published Date: Oct 03, 2019
To stay ahead of the evolving publishing industry, Scholastic realized they needed to adopt a microservices architecture leveraging containers after they migrated to Amazon Web Services (AWS). The team chose Red Hat OpenShift for the extensive support and level of innovation they were able to provide. With OpenShift on AWS, Scholastic was able to implement a DevOps model to create a new set of online-based services to maintain competitive advantage in a rapidly shifting publishing world. Join the upcoming webinar to learn how Scholastic maximized flexibility and improved their CI/CD pipeline by utilizing a microservices architecture running in containers.
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AWS
Published By: AWS     Published Date: Oct 01, 2019
To stay ahead of the evolving publishing industry, Scholastic realized they needed to adopt a microservices architecture leveraging containers after they migrated to Amazon Web Services (AWS). The team chose Red Hat OpenShift for the extensive support and level of innovation they were able to provide. With OpenShift on AWS, Scholastic was able to implement a DevOps model to create a new set of online-based services to maintain competitive advantage in a rapidly shifting publishing world. Join the upcoming webinar to learn how Scholastic maximized flexibility and improved their CI/CD pipeline by utilizing a microservices architecture running in containers.
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AWS
Published By: Intel     Published Date: Sep 20, 2019
More data means more opportunities to discover powerful, actionable insights around customers, internal processes, and the broad market. Unfortunately, legacy IT architectures and approaches can block progressive analytics efforts. That leaves a lot of room for improvement, and the learning and investment curve for starting in analytics can be steep. However, tending to three core steps will prove immensely helpful on this journey: • Establishing an organizational foundation • Mapping the data pipeline • Transitioning analytics proofs of concept into production
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Intel
Published By: Outreach.io     Published Date: Sep 17, 2019
LinkedIn is the largest social networking platform for business professionals, but utilizing it effectively to build your brand and move the needle for you business is a delicate balance. Many leaders struggle with finding the right balance of building an authentic brand. To help you begin building your brand, establish your voice, and drive business and opportunity for yourself and your team, this guide will answer the following questions about effectively using LinkedIn: Does building my brand help me close deals? How can the platform move the needle for my pipeline? What is proper etiquette when communicating with peers? How do I enable my sales team to incorporate LinkedIn into the outbound efforts? Download today to establish your presence on LinkedIn!
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Outreach.io
Published By: Tricentis     Published Date: Aug 19, 2019
Let’s face it. Businesses don’t want—or need—perfect software. They want to deliver new, businessdifferentiating software as soon as possible. To enable this, we (Development and Testing teams) need fast feedback on whether the latest innovations will work as expected or crash and burn in production. We also need to know if these changes somehow broke the core functionality that the customer base—and thus the business—depends upon. This is where Continuous Testing comes in. Continuous Testing is the process of executing automated tests as part of the software delivery pipeline in order to obtain feedback on the business risks associated with a software release candidate as rapidly as possible.
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Tricentis
Published By: Google - SAP     Published Date: Jun 20, 2019
According to SiriusDecisions, 79% of companies miss their forecast by 10% or more. Pipeline management is often mismanaged and sales forecasting often off-base. Getting accurate and reliable information about the state of the deals in your pipeline is the key to a happy sales force. Accurate pipeline information also is the foundation of predictable and reliable sales forecasts. Wouldn’t a sales forecast that’s right all of the time be a boon to your organization? Download our new eBook “Pipeline Management and Forecasting are Key to Improving the Sales Experience” to find out how automated tools, AI, and clean data sets can help you as a sales manager to: ? Eliminate the mid-pipeline “black hole” and find out what’s really going on ? Use signals outside of your CRM to get scarily accurate deal opportunity scores and quarterly forecasts. ? Help align the customer journey with your sales process and get happy customers and happy sales reps
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Google - SAP
Published By: Google - SAP     Published Date: Jun 20, 2019
In every organization, five main processes usually are occurring simultaneously, but often disjointedly: customer management; pipeline and forecast management; sales enablement and training; quote and proposal management; and sales compensation and incentives. This e-book covers the ways in which they need to evolve and be streamlined, and puts the following questions for a quick self-assessment: ? Is my sales organization evolving at pace with customer expectations? ? Are my sales reps providing value to every customer exchange? ? Are my reps set up for success, and set up to sell quickly after they onboard or change territories? ? Do you provide your reps with the tools they need to be efficient and effective?
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Google - SAP
Published By: F5 Networks Singapore Pte Ltd     Published Date: Jun 18, 2019
By focusing on frequent code integration, automated testing, and keeping the mainline code version in a state that is deployable to production at any time, CI/CD aims to eliminate the risks and friction of traditional waterfall software development. Add to that the practice of continuous deployment and you can move to a situation where the latest and greatest software version is not just always ready to be deployed—it’s deployed on a frequent basis.
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F5 Networks Singapore Pte Ltd
Published By: Uberflip     Published Date: Jun 11, 2019
B2B marketing teams rely on content to fuel their campaigns and generate pipeline for their organizations. As such, every year marketing teams spend hundreds of thousands of dollars creating exponentially more content in an effort to reach and influence their buyers. But even with this proliferation of content, marketers everywhere still struggle to leverage their content to win and retain customers.
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Uberflip
Published By: Oracle     Published Date: Jun 04, 2019
In this second Tomorrow Talks, IDC Analyst, Philip Carter, and the Oracle Vice President of Digital Innovation, Neil Sholay, discuss the role of the CIO as the custodian of the innovation pipeline. The two experts talk about the value of managing and measuring the progression of innovation from scoping of idea, to prototyping, to making it to market.
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Oracle
Published By: IBM APAC     Published Date: May 14, 2019
If anything is certain about the future, it’s that there will be more complexity, more data to manage and greater pressure to deliver instantly. The hardware you buy should meet today’s expectations and prepare you for whatever comes next. Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloudready servers help you unleash insight from your data pipeline — from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing. With industry leading reliability and security, our infrastructure is designed to crush the most data-intensive workloads imaginable, while keeping your business protected. - Simplified Multicloud - Built-in end-to-end security - Proven Reliability - Industry-leading value and performance
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IBM APAC
Published By: Seismic     Published Date: May 14, 2019
Sales productivity is the #1 challenge for almost 2/3 of B2B organizations.* Although organizations are placing a bigger focus on growing their sales teams and increasing win rates, most aren't able to scale their processes, best practices, and sales tools effectively. Even a small productivity boost means more time spent selling, more prospects and as a result, more revenue. In this guide you'll discover why your organization should prioritize improving sales productivity and 9 steps you can take now to improve sales productivity and grow your sales pipeline. *The Bridge Group
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Seismic
Published By: Group M_IBM Q2'19     Published Date: Apr 25, 2019
Learn how IBM InfoSphere Virtual Data Pipeline enables developers and DBAs to instantly provision or refresh database copies, regardless of size, on-premises or in any cloud; integrate database copy creation and presentation with developer tools like IBM UrbanCode, Chef, Puppet, Ansible or Salt; and deliver database copies while ensuring that all security policies are maintained including access controls, masking and encryption. With a combination of real-world customer examples and live demonstration, this session will provide a practical understanding of the InfoSphere VDP solution, the business and technical impact delivered, and how to get started quickly.
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Group M_IBM Q2'19
Published By: Oracle     Published Date: Apr 25, 2019
In this second Tomorrow Talks, IDC Analyst, Philip Carter, and the Oracle Vice President of Digital Innovation, Neil Sholay, discuss the role of the CIO as the custodian of the innovation pipeline. The two experts talk about the value of managing and measuring the progression of innovation from scoping of idea, to prototyping, to making it to market.
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Oracle
Published By: Pure Storage     Published Date: Apr 10, 2019
This document describes the technical reasons for and benefits of an end-to-end training system and why the Pure Storage® FlashBlade™ product is an essential platform. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and Pure FlashBlade, a scale out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloud-ready servers help you unleash insight from your data pipeline—from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing.
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Group M_IBM Q2'19
Published By: Pipeline Marketing     Published Date: Mar 21, 2019
The past few years have brought sweeping changes to what it means to be a B2B marketer. We’re no longer just sending millions of emails to everyone who will give us their email address, the bar for personalization is well beyond changing the ?rst name on an email, and the goal of marketing is no longer limited to hitting a certain lead number. Read this report and ?nd out what it means to be an impactful marketer in the new world.
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Pipeline Marketing
Published By: PGi     Published Date: Mar 08, 2019
Whether you’re a newly appointed demand gen specialist or a well-versed, highly-skilled demand gen ninja, this session is for you to learn about the Demand Gen imperatives for 2019 from the renowned, demand gen master himself, Andrew Gaffney. In this session, you’ll learn about the latest best practices for breaking down the top channels to optimize your demand gen efforts. We’ll discuss everything from how to breathe new life to your lead-gen webinars to creating killer content that drives pipeline. As a bonus, Andrew will share the latest, fresh-off-the-press findings from the 2019 Demand Gen Benchmark Study.
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PGi
Published By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data, big data, hadoop, agile analytics, cloud data lake, cloud data warehouse, data lake ingestion, data ingestion
    
Attunity
Published By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: Splunk     Published Date: Nov 29, 2018
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline? Download your copy of Driving DevOps Success With Data to learn: How machine data can optimize your application delivery The four key capabilities DevOps teams must have to optimize speed and customer satisfaction Sample metrics to measure your DevOps processes against
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devops, devops tools, continuous delivery, devops methodology
    
Splunk
Published By: Lucidchart     Published Date: Nov 28, 2018
Does it take forever for your sales team to close deals? There’s a potential roadblock you may have missed: your internal sales communication. Take a look around—new sales reps are overwhelmed with processes and messaging during onboarding, your sales reps don’t pass discovery information off to sales engineers or customer support, and you aren’t always sure where deals stand, which makes it rather difficult to predict pipeline. If the members of your org aren’t completely aligned, you can’t take a prospect across the finish line or keep the org running smoothly. Download this eBook to see how visuals can solve these communication breakdowns and align your sales organization to close bigger and faster.
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Lucidchart
Published By: Attunity     Published Date: Nov 15, 2018
IT departments today face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Many lack the ETL and Hadoop coding skills required to replicate data across these large environments. In this whitepaper, learn how you can provide automated Data Lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.
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Attunity
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