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BI Trends and Strategies E-Zine Issue 3

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Rethink data integration for the age of big data

Far from a passing trend, big data is here to stay – but growing data volumes are throwing a major monkey wrench into the data integration equation. To stay ahead of the competition, you need tools and technologies capable of withstanding the weight of big data.

This expert e-guide explores the need for new thinking around data integration in a big data world, and highlights key tools that can deliver the value you’re looking for. Read on to learn about:

  • Why big data is spurring data integration change
  • A federated format for big data applications
  • Uncovering hidden big data skills
  • And more

These are also closely related to: "BI Trends and Strategies E-Zine Issue 3"

  • FAQ: Hadoop for BI and Analytics

    Traditional data warehouses are proving to be ill-suited for tackling big data on their own. As a result, organizations are turning to new technologies like Hadoop to effectively manage today’s data environment.

    Unfortunately, Hadoop is surrounded by many misconceptions and most data management professionals have little to no experience with the big data platform.

    This expert E-Guide aims to dispel common Hadoop myths and offers key advice for leveraging this technology in order to drive big data analytics success. Read on to learn more.

  • Hadoop Data Management Platforms and Appliances

    Focusing on the current state of the Hadoop data management platform market, this Technology Guide provides an introduction to Hadoop and suggests criteria for selecting a Hadoop data management platform. Also included are reviews of leading Hadoop systems from a variety of vendors.

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  • IT Project: Business intelligence in the world of big data

    Old-school business intelligence (BI), although still important, is no longer at the cutting edge of modern IT projects. However, as the TechTarget 2016 spending survey shows, business intelligence is very much a priority for corporate IT.

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  • Top 10 information management stories of 2019

    Consolidation and acquisition marked the supplier side of the IT industry in respect of information management in 2019. The question of how modern BI and analytics software shapes up to nonrelational big data is addressed. Here are Computer Weekly's top 10 information management stories of 2019.

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  • Launching a cloud-based analytics campaign: The peaks and pitfalls

    In this expert e-guide, learn about some of the major issues facing modern analytics. Read about the initial struggle of launching an operational analytics program, and how integration with cloud solutions can help alleviate these pains. In addition, read about a travel-booking company's success story of BI cloud integration.

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  • Generating business value from Big Data

    For high-end, challenging applications integrating business intelligence (BI) data with other information such as Internet clickstream and social networking data, the trend is shifting toward build in the buy vs. build data warehousing debate. Access this expert resource today to learn the drivers that are creating this new trend.

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  • A Computer Weekly buyer's guide to Business Intelligence and Analytics

    Business intelligence and analytics is an ever-changing landscape. In this 20-page buyer's guide, Computer Weekly looks at firms' search for data scientists, how modern business intelligence works for big data and the role DevOps can play in navigating a data onslaught.

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  • Expert guide: The challenges and pitfalls of Big Data

    This expert e-guide examines the key challenges and potential pitfalls of big data and offers real-world strategies and advice for achieving big data success.

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  • The ultimate guide to data preparation

    Poor data equates to wrong decisions, bias in the AI algorithm and flawed decision-making. What's more, data that personally identifies an individual can only be used in very specific ways, as stipulated by GDPR. Read about data preparation in this e-guide.

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  • Hadoop Data Management and Use Cases

    In this expert e-guide, hear from pros in the analytics space, including Wayne Eckerson, explore how organizations are beginning to integrate Hadoop deeper into operational workflows, expanding the possible use cases.

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  • Navigating The Twists and Turns of The Hadoop Landscape

    It can be difficult to navigate the big data landscape. It's hard to ignore how rapidly Hadoop-based products are transforming, so many IT shops are wondering what the future of Hadoop has in store. This e-guide provides expert insights into the recent changes and their impact on IT.

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  • New wave BI and analytics: turning modern data stores to account

    This e-guide looks at how companies and other organisations are doing BI and analytics on the newer data stores.

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  • Data discovery: how to pick the right software

    In this guide, we break down data discovery software by defining the categories, explaining the features and revealing the benefits. We also highlight the major players and products in an effort to inform buying decisions.

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  • Advanced analytics meld with machine learning to press more value from big data

    In this e-guide we shine the light on a number of case studies taken from around the world of data analytics. We delve into a number of Silicon Valley-based startups that are looking to shake up the data analytics industry as well as glimpsing into the future of AI-based analytics, data visualisation tools and the Australian data analytics market.

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  • Europe IT Priorities 2016

    Every year, Computer Weekly and TechTarget conduct a global survey of our readers to understand their technology spending priorities for the coming 12 months. Our research offers a unique insight into the purchasing decisions of IT decision-makers worldwide.

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  • Computer Weekly – 9 April 2019: Using data science at Sainsbury's

    In this week's Computer Weekly, we talk to retailer Sainsbury's about its data science strategy and how it helps the firm better understand customers. We take a detailed look at the evolution of the business intelligence market. And we find out how simulated disaster management can tackle the security skills gap. Read the issue now.

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  • Middle East IT Priorities 2016

    Computer Weekly's annual global survey of readers has once again revealed what CIOs around the world, including an increasing number of Middle East based IT leaders, are planning over the next 12 months.

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  • A comparison of Azure, AWS, and Google cloud services

    AWS, Azure, and Google are all huge names in the cloud space, offering everything from big data in the cloud to serverless computing options and more. Read on for a vendor-neutral comparison of these three providers to determine which combination – if any – best fits your organization's infrastructure requirements.

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  • Computer Weekly – 20 June 2017: Why did British Airways' datacentre crash?

    After the recent hastily held general election, the former Cabinet Office minster Ben Gummer lost his Ipswich seat to one of Theresa May's close allies, leaving many wondering if a digital future is still a top priority in the new government. Find the answer to this question, as well as information on the cause of the British Airways IT failure.

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  • Data integration to support modern BI and advanced analytics programmes

    In this e-guide we discuss why data integration and preparation are the unsung heroes of modern BI and advanced analytics. More so than ever, it would seem, due to the ever-increasing volume and variety of data.

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  • UK IT Priorities 2016

    Every year, Computer Weekly and TechTarget conduct a global survey of our readers to understand their technology spending priorities for the coming 12 months. Our research offers a unique insight into the purchasing decisions of IT decision-makers worldwide.

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  • Big Data Analytics Best Practices

    "Big data" has become one of the most talked about trends within the business intelligence (BI), analytics and data management markets. With vendors marketing a wide variety of technology offerings aimed at addressing the challenges of big data analytics projects, it can be hard to discover the best solution.

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  • Real-time analytics extends the reach of its business value more and more

    Organisations increasingly value data that is as current as possible. And there are other sectors where real-time data analytics and data visualisation are proving valuable. In this e-guide, we discuss how continuous real-time analytics, operating at sub-second speed, are finding real-world applicability across several industry sectors.

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  • Spark Muscles Into Big Data Processing

    Armed with data processing, streaming and machine learning capabilities, the multitalented Apache Spark architecture is becoming a force in its own right.

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  • Jargon buster guide to database management

    This Jargon Buster e-guide to contemporary database management is an aid to stepping back and thinking afresh about an area of enterprise IT that has many decades of heritage. Or, as many sometimes (arguably rudely) put it, legacy.

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  • Reaping the Benefits of Big Data and Real-time Analytics

    In this expert e-guide, explore strategies for embracing the big data challenge and discover how real-time analytics can help you improve business performance and leverage your high-volume data to get an edge on competitors.

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  • Beyond the hype: How big data projects are delivering

    This e-guide collates a group of examples of big data technologies in use, such as how Mercedes-AMG Petronas Motorsport are looking to gain an edge on the competition in the Grand Prix season. Also see how big organisations are managing their big data operations and their data analytics programmes and teams through some high profile case studies.

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  • Augmented analytics tools: a complete guide

    Augmented analytics tools are designed to simplify the BI and analytics process for business users and citizen data scientists. They've become featured elements in new software releases from BI vendors. This e-guide offers insights into the technology's potential uses and critical issues.

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  • It's complicated: how data integration lies at the heart of evermorecomplex data architectures

    Data integration and preparation remains the knotty problem at the heart of many data management and business intelligence programmes.Demands on IT leaders in user organisations – especially large, complex ones – are and will continue to be equally complex and pressing as boards look to get business value from data. Read more in this e-guide.

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  • 10 data lake uses for enterprises

    Data lakes have become an essential tool for the modern data management platform. They provide a scalable and cost-effective platform for storing and managing large volumes of data, and they support real-time data analysis and processing. This infographic highlights ten cases in which data lakes are critical for modern data management.

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  • Data classification tools: What they do and who makes them

    Data classification is an essential pre-requisite to data protection, security and compliance. Firms need to know where their data is and the types of data they hold. In this article, learn more about how these tools can help keep your data tidy and which suppliers offer the best options in the market.

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  • Cloud Migration: How to do so safely and securely

    In this e-guide, we take a closer look at what enterprises need to consider before pressing play on their cloud migration plans. Not only to ensure their move to the off-premise world goes as smoothly as possible, but also to make sure it brings the maximum amount of benefit to their business.

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  • Customer Case Study: Crocs, Inc.

    To maximize their data assets, Crocs needed to put a higher priority on governing the data they rely on for insights and decision-making. Tap into this case study to learn why Crocs chose Alation as its data catalog to address its data governance needs and enable benefits such as speed change management, aligned data definitions and more.

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  • The technological evolution of IT industry leaders: Part two

    Companies leading the technological evolution have gone through changes. This second part of this e-guide explores the technological evolution of SAP, Microsoft and some business analytics vendors throughout the past two decades.

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  • Steps, tools & services to know when developing EPM strategy

    While developing an enterprise performance management (EPM) strategy seems straightforward enough, it’s critical to consider the many processes, people, and systems involved before choosing which path to take. Browse this guide to learn more.

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  • A Computer Weekly buyer's guide to Computational storage & persistent memory

    Companies are finding that computational storage can solve the data bottleneck. In this 14-page buyer's guide, Computer Weekly takes a closer look at its benefits, how it can be used and the advantages of faster computing.

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  • Recent BI and Reporting Trends for Oracle EBS

    Are you able to effectively leverage and report on Oracle eBusiness Suite data? Read this expert e-book to find out the latest technology trends that may affect your BI and reporting strategy. Learn more about how to get the most out of included BI/reporting features, when to use OBIEE and when you may need to consider alternative tools.

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  • CW APAC: Trend Watch: Database technology

    In this handbook, focused on database technology in the Asia-Pacific region, Computer Weekly looks at the impact of graph databases and the different types of database management systems currently on the market.

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  • Uber and Volkswagen: Handling ethics in IT

    Take a look at this edition of ComputerWeekly to learn more Uber, Volkswagen, and other companies that have experience with software ethics issues, how they've dealt with them, and what the consequences have been.

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  • Why the data & BI project fail rate is almost 85%

    In a recent survey, it was found that almost 60% of big data projects in the enterprise space have failed. However, in a follow up survey, it was determined that 60% is actually conservative and the fail rate is actually about 85%. But why is this rate so high? The answer lies in the shortcomings of data platforms. Read on to learn more about them.

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  • Predictive analytics gains evermore accuracy in guiding enterprises forward

    Predictive analytics can help businesses look for meaningful patterns in data, then build models that forecast what is likely to happen in the future.

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  • Riding the elephant: how to manage big data

    Big data vendors – such as the Hadoop distributors – will say they see signs that big data science projects are giving way to large scale implementations. But how are user organisations managing those? How are they designing their IT organisations, and the rest, to manage and capitalise on big data?

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  • Reduce costs without stifling innovation

    Whether it’s due to increasing volumes of data or ongoing economic uncertainty—optimizing the costs of your data strategy is critical to remain competitive in today’s complicated and ever-changing business landscape. What’s the best approach? Find out in The Ultimate Guide to Data Cost Optimization. Download now.

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  • Who will win the world's biggest cloud contract?

    In this week's Computer Weekly, we examine the $10bn Pentagon cloud contract – codenamed JEDI – and ask why it is taking so long to choose a supplier. We discuss with IT chiefs how AI will transform technology leadership. And we look at how to improve your email security. Read the issue now.

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  • A Computer Weekly buyer's guide to NoSQL

    There's a lot of data out there, much of which doesn't need to be stored in heavyweight relational databases complete with complex query languages. In this 13-page buyer's guide, Computer Weekly looks at a new category of NoSQL data stores and how they are being used.

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  • How to tackle information overload

    In this week's Computer Weekly, we hear from Microsoft CEO Satya Nadella about how the firm wants to use cloud, machine learning and innovative datacentre technologies to open up access to information. Our new buyer's guide looks at network function virtualisation. And we examine the role of blockchain in cloud data security. Read the issue now.

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  • Fail to prepare quality data, prepare to fail

    Fail to prepare, prepare to fail is an adage that never fails to lose its veracity. The same is true of using poor quality data, known to be the bane of the lives of data analysts, not to speak of organisations that yearn to be "data driven".

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  • The future of enterprise IT: Social, social, mobile, analytics and cloud

    Cloud and data technologies are allowing organizations to provide service levels not even dreamt of a few years ago. This guide looks at some examples of these technologies transforming organizations in South-East Asia.

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  • Data Management Strategies for the CIO

    CIOs are turning to emerging forms of data management, including predictive business intelligence and information architectures, to harness the power of their data. Inside this expert e-book, gain insight on data management topics such as storage and retention policies, data protection and lifecycle management.

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