A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume. Download this infographic to find out how to build a strong foundation with big data integration.
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on-premises data with new third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes.
The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data.
To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
IBM Compose Enterprise delivers a fully managed cloud data platform on the public cloud of your choice - including IBM SoftLayer or Amazon Web Services (AWS) - so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
You’ve taken the first step and already know that a document- oriented database is the right database for your application. From here, you still have to decide where and how you’ll deploy the software and its associated infrastructure. These decisions lead to additional considerations around administrative overhead, technical support, open-source options, data sovereignty and security, and more. This paper aims to outline the deployment options available when you select IBM® Cloudant® as your JSON store.
This whitepaper talks about how organized criminals and lone fraudsters are continuously adapting to the ever-changing world we live in. Through IBM solutions for insurance fraud prevention, both enterprise and industry-wide financial institutions can prevent future fraud.
The IBM Counter-Fraud Management for Insurance solution is designed to help insurers prevent and intercept attempted fraud while detecting, identifying, and building the case against past fraudulent activity and improper payments.
By taking full advantage of the integration and advanced capabilities currently being offered by leading counter fraud solution providers - including predictive analytics and cognitive computing - enterprises can expect to achieve significantly better outcomes.Aberdeen Group's analysis helps to quantify the value of counter fraud analytics in the insurance industry.
"Your video business is poised for dramatic growth. Can your provider keep up? SVOD revenues are rising more than 30$ annually.
Learn how to avoid common pitfalls and identify a video provider that can grow with you.
Download the first entry in IBM Cloud Video’s OTT Success Series to discover:
-Important distinctions that can mean the difference between scalable success and an embarrassing false start
-How to anticipate and avoid common pitfalls in the OTT 2.0 environment
-The right questions to ask when taking your video business to the next level
-How the right provider can help you master multiscreen delivery, drive subscriber growth and reduce churn"
"Finding the right monetization model doesn’t have to be difficult...
if you have the right provider.
Identifying the right provider now is critical for your monetization strategy, even if it changes over time.
Download this exclusive brochure from IBM Cloud Video’s OTT Success Series to learn:
-The importance of planning for multiple billing and payment options across multiple international markets and currencies
-The critical behind-the-scenes role of asset markup for dynamic advertising insertion
-How to understand (and fulfill) metadata demands that differ by distribution avenue"
"Is your premium video content really secure?
Don’t let security blind spots compromise your content – or business.
Download the latest installment in IBM Cloud Video’s OTT Success Series and discover insights around:
-Business logic security and why it matters more than ever
-The importance of matching the proper level of security with your intended content use case
-New security considerations – and solutions – associated with migration to the cloud"
"In the world of OTT 2.0, cross-device personalization is critical.
(Not to mention really cool.)
Deliver the experience your viewers expect with the confidence your business requires.
Download this brochure from IBM Cloud Video's OTT Success Series to learn:
-The new imperatives for multi-stream, multi-device orchestration
-Why live video now demands seamless cross-device interplay
-The importance of server-side APIs in allowing for rapid iterations and device extensions"
"When the CMO Council recently asked more than 200 senior marketing decision makers how effectively they have aligned physical and digital experiences, half admitted that these integrated experiences were selective, at best. Yet it is alignment, consistency and connection that drive the foundational relationship between the brand and the buyer.
The CMO Council, in partnership with IBM, will host a one-hour interactive webcast with industry-leading media, entertainment and telecommunications marketers to discuss how audience insights across the digital and physical experience have been turned into action, allowing these brands to personalize and enrich each engagement.
Multiple case studies will also be discussed during the webcast that focus on the power of segmentation and innovations around cognitive computing. Speakers include Liz Miller, Senior Vice President of Marketing for the CMO Council; Jody Sarno, Dedicated Client Partner, Communications Industry for IBM; Chris Crayner, Ch
Technology has always enabled companies to reinvent how they engage with customers. But now we are seeing a profound shift – the convergence of physical and digital customer interactions – which is fundamentally changing how customers will interact and transact with brands and businesses everywhere. To better understand these dynamics, the IBV is conducting a Customer Experience (CX) study, published as a series, with multiple reports organized by topic.
A range of application security tools was developed to support the efforts to secure the enterprise from the threat posed by insecure applications. But in the ever-changing landscape of application security, how does an organization choose the right set of tools to mitigate the risks their applications pose to their environment? Equally important, how, when, and by whom are these tools used most effectively?