The digital transformation that organizations are striving for today requires a mindset of "no limits" in terms of securely exposing critical business assets for internal and external consumption. In order to be an agile, digital business, enterprises need to seamlessly connect across hybrid environments, applications, data and processes, keeping a keen eye on an open cloud strategy. They also need a secure integration framework to provide controlled access, a single dashboard providing performance insights, and easy access to digital assets for your developers. This webcast will explore all of these areas in depth, to support your enterprise's quest to become a next-generation digital business.
Published By: Attunity
Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation.
Read Increase Data Lake ROI with Streaming Data Pipelines to learn about:
• Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud.
• Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake.
• Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store.
• Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights.
Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
Cloud-based data and processing services present too much opportunity for organizations to ignore. How can organizations realize the obvious financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy?
Good hybrid information governance implies several priorities for IT and the business which are based on these foundational pillars:
- Broad agreement on what information means
- Clear agreement on how owned information assets will be maintained and monitored
- Standard practices for securing strategic information assets
- Enterprise data integration strategy
Juniper Networks hybrid cloud architecture enables enterprises to build secure, high performance environments across private and public cloud data centers. The easy-tomanage, scalable architecture keeps operational costs down, allowing users to do more with fewer resources. Security is optimized by the space-efficient Juniper Networks® SRX Series Services Gateways, which are next-generation firewalls (NGFWs) with fully integrated, cloud-informed threat intelligence that offers outstanding performance, scalability, and integrated security services. Designed for high-performance security environments and seamless integration of networking, along with advanced malware detection with Juniper Sky™ Advanced Threat Prevention (ATP), application visibility and control, and intrusion prevention on a single platform, the SRX Series firewalls are best suited for enterprise hybrid cloud deployments.
Published By: Cohesity
Published Date: Aug 09, 2019
IT organizations everywhere are undergoing significant transformation to keep pace with the needs of their businesses. They’re tasked with
consolidating data centers and migrating both workloads and data to the cloud. The transition has been easier for some than others.
As hybrid architectures increasingly become the norm, how are enterprises gaining complete visibility, simplifying management, and making use
of all of their data—both on-premises and in the cloud?
Five enterprises explain how they’ve replaced multiple products that created legacy data silos with Cohesity – a single, hyperconverged softwaredefined
platform with native Microsoft Azure integration for simplified secondary data and applications. For them, Cohesity and Azure together
boost IT agility while lowering costs, solving critical secondary data challenges from long-term retention, storage tiering, test/dev, disaster
recovery and cloud-native backup in a proven hybrid cloud architecture.
The What, Why & How of CRM Integration
This report contains insights from C-level executives, business analysts and IT engineers, and systems integrators and consultants who design and implement data integration for their enterprise clients.
Big Data holds the promise of a virtually unlimited ability to gain insight – and foresight – to sharpen strategies and improve tactical execution but only if it can be harnessed and managed. Through this whitepaper, you can learn how.
In the race to establish and maintain strong customer relationships, line-of-business executives are increasingly turning to cloud-based, software-as-a-service (SaaS) applications like Salesforce. That’s because these applications offer greater functionality and scalability than on-premises applications.
An enterprise-grade, Integration platform as a Service (iPaaS) application can provide a unified approach and toolset to support today’s disparate, hybrid IT landscape, and offer benefits for companies of all sizes.
Read this guidebook to learn how to build better customer relationships by connecting the data the data that runs your business, and automating business processes that can benefit from Salesforce application integration.
The 2016 ACFE Report to the Nations on Occupational Fraud and Abuse analyzed 2,410 occupational fraud cases that caused a total loss of more than $6.3 billion.8 Victim organizations that lacked anti-fraud controls suffered double the amount of median losses.
SAS’ unique, hybrid approach to insider threat deterrence – which combines traditional detection methods and investigative methodologies with behavioral analysis – enables complete, continuous monitoring. As a result, government agencies and companies can take pre-emptive action before damaging incidents occur. Equally important, SAS solutions are powerful yet simple to use, reducing the need to hire a cadre of high-end data modelers and analytics specialists. Automation of data integration and analytics processing makes it easy to deploy into daily operations.