pipeline

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Published By: Oracle     Published Date: Mar 12, 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: 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: Oracle     Published Date: Mar 06, 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: 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
Published By: StreamSets     Published Date: Sep 24, 2018
If you’ve ever built real-time data pipelines or streaming applications, you know how useful the Apache Kafka™ distributed streaming platform can be. Then again, you’ve also probably bumped up against the challenges of working with Kafka. If you’re new to Kafka, or ready to simplify your implementation, we present common challenges you may be facing and five ways that StreamSets can make your efforts much more efficient and reliable
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apache, kafka, steam, sets, data
    
StreamSets
Published By: KPMG     Published Date: Sep 17, 2018
The leadership of a new, marquee pharma manufacturer approached KPMG with a paradox: It was certainly marquee, but not new. As the highly publicized spin-off of a global health services conglomerate, the company began life with $18 billion in annual revenues, an established product pipeline and instant membership in the S&P 100. Reliant on the back-office functions of its parent, it needed to quickly acquire the back-office sinews of a truly stand-alone company: ERP systems and core processes for finance, operations and human resources. During an intensive three-year engagement, KPMG brought the vision of the company’s leaders to life, working towards a target operating model through the disciplined implementation of new systems, processes, training and staffing. The multidisciplinary approach eventually touched the lives of every one of the company’s 21,000 employees, in 170 countries. And as KPMG’s delivered tangible results, something intangible emerged – a new company culture, inde
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KPMG
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
DevOps ist nicht mehr topaktuell. Auch Continuous Delivery oder sogar das „Shift-Left“-Paradigma ist nicht mehr als innovativ zu bezeichnen. Dieses White Paper zeigt auf, wie Sie DevOps-Tools und -Verfahren kundenorientiert einsetzen können, um einen geschäftlichen Nutzen zu erzielen. Dabei wird auf die aktuellen Herausforderungen für Unternehmen eingegangen, wenn sie versuchen, durch DevOps-Innovationen mehr als nur technische Vorteile zu realisieren. Zudem werden die Lücken aufgezeigt, die die Unternehmen in den Continuous Delivery-Ketten schließen müssen, um erfolgreich zu sein. Schließlich befasst sich dieses White Paper auch damit, wie die Themen Anwendereinbindung und Customer Experience in allen Phasen der Bereitstellungspipeline als wichtige Überlegung einbezogen werden.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
DevOps non è più una metodologia all'avanguardia, né lo sono la continuous delivery o l'approccio shift-left. Queste prassi e principi sono stati ormai adottati dalle aziende, almeno in una certa misura e, anche se in molti casi la transizione è risultata incompleta, praticamente tutte le aziende conoscono e si sforzano di implementare i workflow e le strutture organizzative DevOps. Questo white paper spiega come utilizzare gli strumenti e le prassi DevOps in un'ottica incentrata sul cliente allo scopo di creare valore di business. Illustra le sfide che la maggior parte delle aziende deve affrontare per estendere le innovazioni DevOps al di là dell'ambito tecnico, identifica le lacune da colmare all'interno delle catene di continuous delivery per superare tali sfide e spiega come mettere il coinvolgimento degli utenti e la customer experience al centro di tutte le fasi della pipeline di delivery.
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CA Technologies EMEA
Published By: F5 Networks Inc     Published Date: Sep 07, 2018
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F5 Networks Inc
Published By: EverString     Published Date: Jul 27, 2018
You have lots of leads, but finding the right match is getting harder and harder. You know the good leads are out there. They might even be looking for you. The trouble is, those good leads are hidden among so many bad ones. Your sales and marketing teams know this. They’re facing a deluge of data, not all of it reliable, and they’re trying to decode that data using outdated point solutions and imperfect criteria. Which means a lot of time spent running campaigns, initiating conversations and booking meetings that go nowhere. If this were the dating world, we’d be talking about a calendar full of bad first dates. Everyone’s “swiping right,” but no one’s truly matching. No one’s getting a second date. No one’s committing. Something just isn’t working. We can’t help you if you’re dating. But if you’re trying to sell your company’s products and services—well, the game is about to change. Instead of moving through a volume of potential customers as quickly as possible to build pipeline, th
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EverString
Published By: WorkBook from Deltek     Published Date: Jul 20, 2018
One of the agency biggest challenges is juggling multiple projects across departments while retaining complete visibility into finances, pipelines and resources management. Most agencies use multiple systems to handle each of these processes. According to The Drum Lab rats, to have “one integrated and user-friendly connected system would be the ideal solution.” Five leading agencies tested the WorkBook Agency Management system in a recent Drums Labs workshop. Testers quickly discovered the wealth of functionality, the high level of usability and the full integration that WorkBook provides to agency businesses.
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WorkBook from Deltek
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
In the 26-criteria evaluation of continuous delivery and release automation (CDRA) providers, we identified the 15 most significant — Atlassian, CA technologies, Chef Software, Clarive, CloudBees, electric Cloud, Flexagon, Hewlett packard enterprise (Hpe), IBM, Micro Focus, Microsoft, puppet, Red Hat, VMware, and Xebialabs — and researched, analyzed, and scored them. We focused on core features, including modeling, deploying, managing, governing, and visualizing pipelines, and on each vendor’s ability to match a strategy to these features. this report helps infrastructure and operations (I&o) professionals make the right choice when looking for CDRA solutions for their development and operations (Devops) automation.
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CA Technologies_Business_Automation
Published By: AWS - ROI DNA     Published Date: Jun 12, 2018
Traditional data processing infrastructures—especially those that support applications—weren’t designed for our mobile, streaming, and online world. However, some organizations today are building real-time data pipelines and using machine learning to improve active operations. Learn how to make sense of every format of log data, from security to infrastructure and application monitoring, with IT Operational Analytics--enabling you to reduce operational risks and quickly adapt to changing business conditions.
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AWS - ROI DNA
Published By: NetApp     Published Date: May 29, 2018
This white paper discusses AI infrastructure challenges and how NetApp can help you build a data pipeline for your deep learning workflows today, while future-proofing investments in your AI infrastructure. Careful infrastructure planning can smooth the flow of data through your deep learning pipeline, lead to faster time to deployment, and maximize competitive differentiation.
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NetApp
Published By: Infosys     Published Date: May 21, 2018
Our client is a Finnish consulting and engineering company that deals with some of the world's toughest industries. Since 1958, the company has handled the power transmission system for the Swedish National Grid, revamped Salzburg railway station, and has been involved in 90 percent of the world's largest pulp mill designs. The nature of our client's work places unique demands on their IT infrastructure. Many of their projects require them to set up temporary offices in remote locations to deliver their engineering expertise, making seamless connectivity a critical business requirement. Large files, such as complex pipeline drawings, are passed between team members in different locations. Any outage that causes a delay in projects leads to potential financial penalties and damage to reputation.
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landscape, company, industry
    
Infosys
Published By: Pure Storage     Published Date: Apr 18, 2018
In today’s world, it’s critical to have infrastructure that supports both massive data ingest and rapid analytics evolution. At Pure Storage, we built the ultimate data hub for AI, engineered to accelerate every stage of the data pipeline. Download this infographic for more information.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Data is the fuel driving rapid innovation powered by artifi cial intelligence. Enterprises need modern data platform purpose-built for machine learning, accelerating insight while simplifying complex data pipelines in analytics.
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Pure Storage
Published By: Docsend     Published Date: Apr 09, 2018
It’s no secret that content - from case studies to pitch decks - fuels the modern sales cycle. However, a vast majority of teams don't track prospect engagement with sales content, and if they do, it's unclear which metrics actually indicate success. This report, From Strategy to Execution: 6 Sales Content Benchmarks Every Business Needs, reveals 6 key benchmarks for how, when, and where prospects engage with sales content. In the report, you’ll find data-backed, actionable insights to help you: • Identify which sales content drives the sales cycle forward • Enable sellers to share the right content in their outreach • Build a more efficient, higher velocity sales pipeline
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Docsend
Published By: Outreach.io     Published Date: Apr 09, 2018
In the world of sales, there are 3 types of reps: hunters, farmers, and dying. Most sales teams have realized that developing a group of reps who prospect for their own leads and build their own pipeline rather than simply following up on inbound leads and farming current customers for repeat orders is essential for driving growth. Order-taking farmer reps will get you only so far.
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Outreach.io
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