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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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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Open Source Security And Risk Analysis Report

Synopsys helps development teams build secure, high-quality software, minimizing risks while maximizing speed and productivity. Synopsys, a recognized leader in application security, provides static analysis, software composition analysis, and dynamic analysis solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior.

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Navigating the Open Source Risk Landscape

Open source use isn’t risky, but unmanaged use of open source is.

Open source software forms the backbone of nearly every application in every industry. Chances are that includes the applications your company develops as well. If you can’t produce an accurate inventory of the licenses, versions, and patch status of the open source components in your applications, it’s time to assess your open source management policies.

This paper provides insights and recommendations to help organizations and their development and IT teams better manage the open source risk landscape. It covers:

  • Open source license risk and the need to identify and catalog open source licenses
  • Security risk that comes with open source use and inadequate vulnerability management
  • Operational open source risk, version control, and the dangers of using inactive components

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The DIY Guide to Open Source Vulnerability Management

According to SAP, more than 80% of all cyber attacks are happening on the application layer,1 specifically targeting software applications rather than the network.

Hackers take the easiest path when determining exploits and choose applications that offer the best attack surface opportunities. Those opportunities are generally created by unpatched or outdated software.

For example, Heartbleed, a dangerous security flaw, critically exposes OpenSSL, an open source project used in hundreds of thousands of applications that need to secure communications over computer networks against eavesdropping. Yet 56% of all OpenSSL versions that Cisco Security Research examined in its 2015 security report2 were still vulnerable to Heartbleed, more than two years after the Heartbleed vulnerability was first disclosed and a patched version issued.

This illustrates the difficulty organizations have in inventorying and managing open source components rather than a lack of security diligence. Without a comprehensive list of open source components in use, it is nearly impossible for any organization to identify specific applications that use vulnerable components.

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KuppingerCole Report Leadership Compass Database and Big Data Security

This Leadership Compass from analyst firm KuppingerCole provides an overview of the market for database and big data security solutions along with guidance and recommendations for finding the sensitive data protection products that best meet client’s requirements.

The report examines a broad range of technologies, vendor product and service functionality, relative market shares, and innovative approaches to implementing consistent and comprehensive data protection across the enterprise.

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Securing Cloud environments: Five Data Encryption best practices to help reduce your risk

From the perspectives of both data protection and regulatory compliance, it is just as critical to protect sensitive cloud-based data as it is on-premises data. One way to do this is through data encryption, yet many business’s encryption efforts are mired in fragmented approaches, siloed strategies for policy management and compliance reporting, and decentralized key management. These situations have all contributed to making encryption complicated and difficult to implement and manage.

This paper looks at 5 best practices for securing data in multi-cloud environments using the latest data encryption technologies.

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Overcome the challenges of protecting data that is here, there and everywhere

When it comes to cloud environments, whether in the public cloud or a privately hosted or hybrid environment, data security and protection controls must protect sensitive data—and support constantly growing government and industry compliance requirements. Read this ebook to learn how data security and protection technologies should operate in multiple environments (physical, cloud and hybrid) at the same time.

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