skip to main content
Close Icon We use cookies to improve your website experience.  To learn about our use of cookies and how you can manage your cookie settings, please see our Cookie Policy.  By continuing to use the website, you consent to our use of cookies.
Global Search Configuration

Introduction

The cloud, artificial intelligence/machine learning, and the processing of real-time data will drive major changes to the big data landscape in 2018.

Highlights

  • This report analyzes the evolving approaches to managing data lakes.
  • This report looks at new approaches to processing real-time data that will make data lakes more responsive and efficient

Features and Benefits

  • Discusses the need to approach cloud big data deployments as platform decisions and how that will impact the way enterprises choose cloud platform providers.
  • Looks at the make-versus-buy decision for AI capabilities and why most enterprises will rely on the "buy" option for applications and tools that embed machine learning.
  • Analyzes the significance of the new data pipeline products and services that are becoming available.

Key questions answered

  • What can enterprises implementing data lakes learn from past experience with enterprise data warehouses?
  • How can enterprises manage expectations, from executive to working level, on how to benefit from AI?
  • Why is there a growing ecosystem around data pipeline tools and services, and how will that impact how organizations master the processing of real-time data?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

Data lakes are going virtual

  • Data lakes transcend Hadoop
  • Who owns the query?
  • Cloud object storage – the exception that proves the virtual data lake rule

Multicloud and hybrid cloud strategies become front-burner issues for big data adoption

  • Cloud platform decisions are making the issue strategic
  • Hybrid cloud becomes key criterion for big data cloud implementation

Cloud object storage is making Hadoop "disappear"

  • The cloud reimagines Hadoop …
  • … and it drives Hadoop vendors to reimagine their products

Data pipelines shift the center of gravity for managing real-time processes

  • What are data pipelines?
  • Adding integration to streaming analytics
  • Why data pipelining?

Machine learning is becoming a pillar of big data platforms and analytics

  • ML and AI are on their way to becoming product features
  • Make vs. buy AI? In 2018, more enterprises will buy
  • Demand for machine learning capabilities outshines data science

Appendix

  • Methodology
  • Further reading
  • Author

Recommended Articles

  • Service Provider Markets, Consumer & Entertainment Services,...

    MWC 2018 Highlights

    By Ronan De Renesse 27 Feb 2018

    Over 20 of our senior Ovum analysts and consultants attended this year’s Mobile World Congress in Barcelona at the end of February. In between meetings, briefings and presentations, our analyst team were blogging and tweeting about key developments, trends and rumors. Have a look through our daily MWC 2018 Highlights to find out what happened.

    Topics 5G AI IoT Cloud Payments SDN/NFV Smart home

  • Enterprise Decision Maker, Enterprise IT Strategy and Select...

    2017 Trends to Watch: Big Data

    By Tony Baer 21 Nov 2016

    The breakout use case for big data will be fast data. The Internet of Things (IoT) is increasing the urgency for enterprises to embrace real-time streaming analytics, as use cases from mobile devices and sensors become compelling to a wide range of industry sectors.

    Topics Big data and analytics IoT

  • Consumer & Entertainment Services

    US pay TV: Is it facing an existential threat?

    By Adam Thomas 28 Mar 2018

    With US pay TV having endured the worst year in its history, thoughts have inevitably turned to the future. The likelihood remains that the immediate future will remain highly uncomfortable for everyone except the scaled multinational digital platforms.

;

Have any questions? Speak to a Specialist

Europe, Middle East & Africa team - +44 (0) 207 017 7700


Asia-Pacific team - +61 (0)3 960 16700

US team - +1 646 957 8878

+44 (0) 207 551 9047 - Operational from 09.00 - 17.00 UK time

You can also contact your named/allocated Client Services Executive using their direct dial.
PR enquiries - Call us at +44 7770704398 or email us at pr@ovum.com

Contact marketing - 
marketingdepartment@ovum.com

Already an Ovum client? Login to the Knowledge Center now