Sponsor: Cloudera

Report: The rise of the Enterprise Intelligence Platform

The demand to turn raw data into business insight for today’s companies is now higher than ever. So it’s no surprise that there’s significant interest by data-driven companies for new products and services in a single platform.

An Enterprise Intelligence Platform combines what was traditionally three separate product categories for data and analytics into one seamless experience: data integration, data storage, and processing and analytics designed to meet the needs of both data consumers and data operators. According to 451 Research, 78% of data-driven companies would consider adopting an Enterprise Intelligence Platform.

    Read the report to:
  • Understand the business efficiencies of an Enterprise Intelligence platform
  • Learn about the major market players who are ahead of the trend with the development of their own portfolio of products

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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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Webinar: Harnessing Data Lifecycle

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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eBook: Apache Nifi for Dummies

Apache NiFi is an integrated data logistics and simple event processing platform. It provides an end-to-end platform that can collect, curate, analyze and act on data in real-time, on-premise, or in the cloud with a drag-and-drop visual interface.

This book is a must read.

    You will learn about:
  • NiFi fundamentals
  • NiFi use cases
  • How to get started, debug and manage your own dataflows

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Report: Forrester Wave™: Streaming Analytics, Q3 2019

Cloudera has been named as a Strong Performer in The Forrester WaveTM: Streaming Analytics, Q3 2019. We’re excited to make our debut in this Wave at, what we consider to be, such a strong position. We’ve been named one of “The 11 providers that matter most” in streaming analytics. The report states that analytics prowess, scalability, and deployment freedom are key differentiators in the evaluation across 26 criteria.

Cloudera DataFlow (CDF) is a comprehensive real-time streaming data platform that enables enterprises to address key streaming use cases across a wide range of streaming sources. CDF streamlines the process of collecting, curating, and analyzing real-time streaming data with its integrated set of products.

The Forrester Wave report recognizes Cloudera DataFlow as “more than streaming analytics.” The report states that Cloudera offers “strengths in streaming data platforms, management, security, development, extensibility and deployment.”

Download the report to read in detail about how Forrester has assessed all the vendors on their various strengths.

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eBook: Digital Transformation with IoT

The growing emphasis on digital transformation is encouraging more organizations to adopt initiatives driven by the Internet of Things (IoT).

While such initiatives enable enterprises to enhance customer experiences, create new business channels, or acquire new partner ecosystems, gaining the insights to realize these benefits can prove to be challenging. Enterprises intend to quickly gather and analyze data and from the devices powering their business. However, the sheer volume of data that these devices generate, the variety of data that comes in, and the velocity in which data is collected creates its own set of challenges in terms of storage, processing power, and analytics for such enterprises.

The growth of IoT adoption has been exponential across all industries, but organizations within each industry face a unique set of challenges along this journey. Enterprises leveraging all the big data generated from IoT devices in their machine learning models are able to use prescriptive and predictive analytics to make well-informed decisions.

In this eBook, we will discuss the challenges of implementing data-driven IoT, and solutions for addressing the challenges across multiple industries.

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Webinar: Kafka Power Chat – Challenges in Streaming Architectures

Original Kafka founding team member, Renu Tewari, discusses how streaming architectures are on the rise and enterprises are struggling to scale up as needed. Apache Kafka has emerged as a winner for now amongst the major stream processing engines. However, Kafka can do wonders for a scalable streaming architecture provided it is set up, configured and implemented appropriately. Watch to learn more.

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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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Forrester Report: Top 10 Ways to Master Performance for Your Cloud Migration

Get guidance on planning your cloud migration efforts early to save headaches later.

Cloud migration has been a hot topic for some time, yet the measurement of performance before, during, and after migration has remained somewhat subjective and, in many instances, has led to bad customer and employee experiences. Planning your approach when moving applications to the cloud is paramount to success.

This report helps infrastructure and operations (I&O) professionals achieve higher performance during a cloud migration effort.

    Read this Forrester report to learn:
  • How to build a realistic cloud migration strategy
  • 10 best practices for maximizing performance

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Report: The economics of hybrid and multi-cloud

451 Research highlights the opportunities that hybrid and multi-cloud strategies present to the modern enterprise.

The adoption of hybrid and multi-cloud deployments in the enterprise has become an explicit IT strategy.

According to 451 Research, more than half of enterprises are pursuing an integrated hybrid IT strategy. What’s more, more than 70% of enterprises deploy a public cloud strategy that involves more than one provider.

Enterprises want to choose the best technologies available to them for their specific needs and hybrid and multi-cloud approaches are favored strategies.

    Read this report to:
  • Understand the economic and business opportunities of hybrid and multi-cloud strategies
  • Learn examples of how other companies are finding success leveraging this model
  • Gather recommendations for developing a hybrid and/or multi-cloud strategy that’s best for your organization

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Report: Critical success factors to achieve a better enterprise data strategy in a multi-cloud environment

Harvard Business Review Analytic Services survey points to challenges threatening to interrupt innovation.

As technology has become more powerful, more affordable, and more accessible, we are witnessing customers making breakthroughs and discoveries at a pace that was previously unimaginable. At the same time, we’ve identified new challenges emerging that threaten to interrupt that innovation.

Enterprise IT is simply not meeting business demands and users are prioritizing speed over security, accuracy, and maximum impact.

    We sponsored research by Harvard Business Review Analytic Services to survey global executives to answer the following questions:
  • Can enterprises access all their data efficiently and at scale?
  • How are organizations managing a complex ecosystem of public, hybrid, and on-premises environments?
  • Do companies have a data strategy that’s working?

Download the report for insight into these questions and more as well as to assess where your organization falls in comparison.

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