Unlock the Full Potential of DevOps

Many organizations are turning to DevOps to help them succeed in today’s intensely competitive markets. By embracing Database DevOps practices, which emphasize collaboration and communica­tion between development, operations and other functional areas, they can build, test and release software faster and with fewer defects.

Unfortunately, there is often one huge bottleneck in the otherwise agile DevOps workflow: database development. Organizations have been unable to easily integrate database development tasks such as functional testing of Oracle PL/SQL code or schema compare and sync into the DevOps workflow, or to implement scripts to physically deploy database changes. As a result, they have been unable to fully achieve their goals of faster release cycles and reliably high-quality code.

But it doesn’t have to be that way. Download this white paper today and discover:

  • What DevOps is (spoiler alert: it’s not just a set of continuous integration and continuous delivery tools)
  • The benefits DevOps promises, and the results organizations are already achieving
  • How quickly organizations, both large and small, are adopting DevOps
  • The three key factors to a successful DevOps program
  • Why the ideal solution will enable you to execute key database development tasks within your DevOps workflow, and which specific functionality to look for
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Don’t wait to deploy the next generation toolset for MySQL and Postgres. Get started with Toad Edge today

Toad Edge supports your organization’s commitment to open source RDBMS with a proven commercial toolset to help you ramp up on MySQL. Whether you’re running in a Windows or Mac OS X environment, the short learning curve of Toad Edge allows you to begin developing immediately using the intuitive GUI.

Using Toad Edge, you can easily connect to MySQL to:

  • View, explore and edit your database schema, objects and properties.
  • View and manage your database users and privileges.
  • Write complex SQL code comfortably in a SQL worksheet.
  • Compare and synchronize databases using schema compare.
  • Synchronize to your file systems to make it easy to work with your version control.
  • Work more easily with JSON data types using the JSON editor.
  • View running SQL and other attributes with the session browser.
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How Toad for Oracle DBA Edition Complements Oracle Enterprise Manager

If you use Oracle technologies, you may be relying on Oracle Enterprise Manager (OEM) to manage your clouds, applications and databases. But if you’re responsible for multiple environments with hundreds of databases as well as Oracle Real Application Clusters (RACs) and Oracle Exadata, then OEM alone will not enable you to do your job effectively.

Toad for Oracle DBA Edition can help, complementing OEM by delivering critical functionality in three key areas: performance management, database maintenance and change management. By contrasting how DBAs can use Toad for Oracle DBA Edition and OEM for common tasks in each of these three areas, this technical brief illustrates how using Toad alone, or both solutions together, can simplify Oracle database management and improve DBA productivity.

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5 Must-Know Private Cloud Tips on-demand webinar

The investment in and power of a private cloud requires deep thought and planning before making the move; so, before you decide what to move to a private cloud, watch our new debate-style webinar to get advice from Rackspace experts.

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10 Steps to Success in Public Cloud Adoption

Poor planning is the top mistake organizations make when approaching public cloud adoption. With the pressure to transform while maintaining IT operations, public cloud projects often suffer from rushed implementations, lack of expertise and inadequate organizational support. Before the first chunk of data ever moves to the cloud, there are a myriad of decisions to be made.

Our white paper, 10 Steps to Success in the Public Cloud, boils those decisions down to ten milestones to guide your strategy and planning activities.

Whether you’re starting out or stalled out, review these important considerations to get on track. The white paper covers:

  • Planning frameworks and best practices
  • Ways to foster education and communication
  • Tips on building your business case and selecting pilot workloads
  • Strategies to address security and governance
  • Automation and migration methodologies
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Customer Data Platforms: How They Work, What They Solve & Why Everyone Needs To Use One

Today’s customers have been trained by Amazon, Netflix, Spotify and many others to expect personalized experiences and have little tolerance for firms that do it poorly. Quality data is needed to fuel the technologies that power personalization, but assembling that quality data can be hard.

Enter the Customer Data Platform (CDP). As defined by the Customer Data Platform Institute, a CDP is a marketer-managed system that builds a unified and persistent customer database that is accessible to other systems. While they are promising to be faster, easier, cheaper and more flexible than previous solutions – even the most savviest of martech professionals aren’t fully understanding their benefits, capabilities and integration abilities.

View this report today to learn the:

  • 3 main functions of a CDP
  • 8 advantages of using a CDP to assemble customer data
  • 8 common questions about CDPs and their answers
  • Key ways to select and budget for a CDP and more!

Download a copy of the CDP Institute’s report, “Customer Data Platforms: How They Work, What They Solve & Why Everyone Needs to Use One” today.

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GDPR Impact Series 2018

2018 sees the long-awaited General Data Protection Regulation (GDPR) enter into enforcement starting May 25th. It is a once-in-a-lifetime change to the legal basis on which individuals share their data with organizations.

Research company DataIQ recently examined how consumers expect their data to be used and whether they intend to exercise their new rights, as well as into what organizations intend to do to bring their data-driven practices into line with the Regulations. Download the report now to:

  • Understand the consumer perspective on data collection, consent, context, and control
  • Learn key strategies for the business/marketer’s processes, top opportunities, and challenges in adjusting to the new Regulation
  • Identify any mis-alignments between the two sides’ views of the data exchange and their root causes

Whether you view data as the new oil or as the beginning of the fourth industrial revolution, its relevance in today’s world is hard to deny. By laying the groundwork now, businesses will be able to embrace the opportunities presented by GDPR, and this research takes us one step closer to a more comprehensive understanding of how to truly put the customer and their expectations at the center of everything a brand does.

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Why the Universal Data Hub?

Today’s business leaders are faced with an increasingly fractured vendor landscape leading to operational inefficiency, siloed teams, loss of consumer trust and legal risk and, worst of all, a disjointed customer experience. In a market where companies largely differentiate and scale on customer experience, this makes data strategy a vital component of organizational health.

Download our Universal Data Hub white paper to learn:

  • The 4 Core Problems Created by the MarTech Explosion – The gaps between marketing technologies and the data they leverage, left unaddressed, spread throughout an organization
  • What is a Universal Data Hub? And What are Its Key Tenets? – What it is and what should you look for when considering a centralized platform for your digital marketing stack
  • Functionality Checklist for a Universal Approach to Data – The key functionalities you need to consider and evaluate when implementing a universal data strategy

The data foundation you establish will not only allow for more effective and lucrative marketing now, but is a critical step to delivering on the value of all data sources in the future that are exploding with the advent of mobile, IoT, artificial intelligence and machine learning.

Companies that take a universal approach to data will immediately fill organizational and customer experience gaps, while laying the data infrastructure critical to competing in the future. Download our white paper today to get started.

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Managed Security Service Providers for Dummies

The conversation about “Why Cloud?” has long since passed for many businesses and the question has transitioned into “How Cloud?” and “Is it safe?” The value the cloud brings to a business is measured in many ways — from speeding innovation and reducing time to market to streamlining operations and reducing capital expenditures. However, one of the largest inhibitors to cloud adoption is concern around the security of leveraging a service provider in a multi-cloud world. Much is at stake protecting your customers and your business, and naturally, you should be cautious. Although some of these concerns are beginning to subside over time as cloud technologies continue to mature, traditional controls and processes must adapt to new platforms, new development methodologies, and advanced technologies.

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Locking Down Private Cloud Security

In study after study, security is noted as a top concern in moving to the cloud.

  • 1/3 of surveyed central IT professionals still call cloud security a significant challenge.
  • 52% of surveyed technology decision makers have concerns around the risk of unauthorized access, data integrity and protection in the cloud.
  • 62% of surveyed IT security professionals say their top cloud concern is unauthorized access to data by outsiders.

Despite the widespread concern, security can be one of the core benefits of moving to the cloud. According to the Alert Logic Cloud Security Report, in a cloud environment you’re actually safer from incidents like Trojans, brute force attacks and other suspicious activities.

This white paper compiles industry data and expert insights to discuss the opportunity to leverage private cloud while maintaining — or exceeding — your data security requirements.

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Customer Data Platforms: How They Work, What They Solve & Why Everyone Needs To Use One

Today’s customers have been trained by Amazon, Netflix, Spotify and many others to expect personalized experiences and have little tolerance for firms that do it poorly. Quality data is needed to fuel the technologies that power personalization, but assembling that quality data can be hard.

Enter the Customer Data Platform (CDP). As defined by the Customer Data Platform Institute, a CDP is a marketer-managed system that builds a unified and persistent customer database that is accessible to other systems. While they are promising to be faster, easier, cheaper and more flexible than previous solutions – even the most savviest of martech professionals aren’t fully understanding their benefits, capabilities and integration abilities.

View this report today to learn the:

  • 3 main functions of a CDP
  • 8 advantages of using a CDP to assemble customer data
  • 8 common questions about CDPs and their answers
  • Key ways to select and budget for a CDP and more!

Download a copy of the CDP Institute’s report, “Customer Data Platforms: How They Work, What They Solve & Why Everyone Needs to Use One” today.

Get Whitepaper

GDPR Impact Series 2018

2018 sees the long-awaited General Data Protection Regulation (GDPR) enter into enforcement starting May 25th. It is a once-in-a-lifetime change to the legal basis on which individuals share their data with organizations.

Research company DataIQ recently examined how consumers expect their data to be used and whether they intend to exercise their new rights, as well as into what organizations intend to do to bring their data-driven practices into line with the Regulations. Download the report now to:

  • Understand the consumer perspective on data collection, consent, context, and control
  • Learn key strategies for the business/marketer’s processes, top opportunities, and challenges in adjusting to the new Regulation
  • Identify any mis-alignments between the two sides’ views of the data exchange and their root causes

Whether you view data as the new oil or as the beginning of the fourth industrial revolution, its relevance in today’s world is hard to deny. By laying the groundwork now, businesses will be able to embrace the opportunities presented by GDPR, and this research takes us one step closer to a more comprehensive understanding of how to truly put the customer and their expectations at the center of everything a brand does.

Get Whitepaper

Why the Universal Data Hub?

Today’s business leaders are faced with an increasingly fractured vendor landscape leading to operational inefficiency, siloed teams, loss of consumer trust and legal risk and, worst of all, a disjointed customer experience. In a market where companies largely differentiate and scale on customer experience, this makes data strategy a vital component of organizational health.

Download our Universal Data Hub white paper to learn:

  • The 4 Core Problems Created by the MarTech Explosion – The gaps between marketing technologies and the data they leverage, left unaddressed, spread throughout an organization
  • What is a Universal Data Hub? And What are Its Key Tenets? – What it is and what should you look for when considering a centralized platform for your digital marketing stack
  • Functionality Checklist for a Universal Approach to Data – The key functionalities you need to consider and evaluate when implementing a universal data strategy

The data foundation you establish will not only allow for more effective and lucrative marketing now, but is a critical step to delivering on the value of all data sources in the future that are exploding with the advent of mobile, IoT, artificial intelligence and machine learning.

Companies that take a universal approach to data will immediately fill organizational and customer experience gaps, while laying the data infrastructure critical to competing in the future. Download our white paper today to get started.

Get Whitepaper

Delivering Governed Self-Service BI Across the Enterprise

The purpose of this document is to provide Pyramid Analytics customers with an actionable, high-level framework, guidance and tips to successfully deliver governed self-service BI across the enterprise. Although ad-hoc reporting tools have come a long way the past few years, most of the tools in the market today have significant governance gaps.

Self-service BI governance involves a partnership between business and IT leaders on how to best empower everyone to make data-driven decisions efficiently and responsibly. Analytics guides interactions, informs decisions, drives processes and ensures better outcomes. In balancing organization and individual needs, a collaborative initiative considers various user perspectives and reporting use cases. Since everyone must participate, governance requires an organizational reporting culture change.

In summary, effective self-service BI governance processes are essential to ensure users are viewing high-quality, relevant data for decision-making. They also help users understand standards for creating and sharing reports responsibly.

Pyramid Analytics provides organizations with an intuitive administrative framework to publish and share content. Administrators can configure role-based access using group security profiles and track lineage and versioning at the storyboard level to gain complete telemetry on how users are consuming content.

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Improve Self-Service Analytics Credibility with Data Quality

Data is at the heart of every organization.

In the journey to become more data-driven in decision making, we are seeing unprecedented democratization of data and adoption of self-service analytics. Rigid data collection and reporting processes of the past have given way to rapid gathering of raw, unstructured and crowdsourced data. As a result of that change, there are inevitable trade-offs with data quality.

Self-service visual analytics solutions often quickly expose data quality issues that you may not even realize exist. Unfortunately, inaccurate data undermines the powerful value of self-service analytics. If people don't trust your reports, they won’t use them. Since self-service analytics credibility, adoption and success hinges on accurate data, data quality should be given more attention as you implement these solutions.

Every organization today depends on data to understand its customers and employees, design new products, reach target markets, and plan for the future. Accurate, complete, and up-to-date information is essential if you want to optimize your decision making, avoid constantly playing catch-up and maintain your competitive advantage.

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