Keep Data Safe, Whether at Rest or in Motion
By: Riverbed Technology, Inc. View more from Riverbed Technology, Inc. >>
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Infographic: Comparing data protection vs. data security vs. data privacy
By: TechTarget ComputerWeekly.com
Type: Infographic
An organization's data is one of its most valuable assets and must be protected accordingly. Because there are so many ways an organization's data could potentially be lost or compromised, organizations must take a multifaceted approach to ensure the well-being of their data. This means focusing on three key areas: data protection, data security and data privacy.
In this infographic, we compare data protection, data security and data privacy, their goals and main characteristics, as well as key differences and similarities between the three concepts.
These are also closely related to: "Keep Data Safe, Whether at Rest or in Motion"
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10 data lake uses for enterprises
By: TechTarget ComputerWeekly.com
Type: Infographic
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. Additionally, data lakes provide a centralized platform for data governance and security, data integration and interoperability.
This infographic highlights ten cases in which data lakes are critical for modern data management.
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Data quality maturity guide: Benchmark your progress
By: Monte Carlo Data
Type: eBook
Data quality is important—no doubt about it. Bad data destroys trust in both the data products and the teams that produce them.
But as data quality finally takes its rightful seat at the platform table, where should new data teams start? Great Expectations? Data Observability? Developing a scalable data quality strategy doesn’t happen overnight.
This guide examines the Data Quality Maturity Curve—how data quality works itself out at different stages of your analytical maturity—to offer an experienced perspective on where you should be at each point in your data quality journey.
Browse the guide to benchmark your company’s data maturity progress.
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Don't let your organization drown in data debt
By: Syniti
Type: Analyst Report
Modern enterprises are struggling with data debt, as over 40% of data is unusable. This creates lost opportunity cost. To harness data's full power, enterprises must champion a "Data First" culture, address data quality, and partner with specialized data providers. Download this report to learn how you can reduce your data debt.
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Data product manager roles & responsibilities: An inside look
By: Monte Carlo Data
Type: eBook
For the ins and outs of data product management, access this comprehensive guide. You’ll learn what data product is & how to treat data like a product, data product manager responsibilities, data vs. software product managers, and more.
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Data-first vs. cloud-first? Choosing your hybrid cloud strategy
By: Hewlett Packard Enterprise
Type: White Paper
Businesses must choose between a "cloud-first" strategy, emphasizing moving applications to the cloud, and a "data-first" approach, focusing on using data to enhance business outcomes. This report delves into both strategies and their integration. Read the report.
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Infographic: Four emerging data integration trends
By: TechTarget ComputerWeekly.com
Type: Infographic
To build up an effective data and analytics architecture, enterprises should look at leveraging new approaches in data integration. In this infographic, we take a look at four emerging data technologies to consider for future data integration projects.
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Transforming data chaos into actionable insight
By: DataVid
Type: White Paper
With a unified data layer, you can transform data chaos into actionable insights. In this white paper, you'll learn how to eliminate data silos, enhance accessibility, and drive innovation through a centralized data management framework. Read the full white paper now to discover the power of a unified data strategy.
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Deliver Data Products with Data Intelligence
By: Alation
Type: White Paper
More and more, data is being packaged into consumable, ready-to-use elements. It’s data as a product. Read on to learn how you can enable data consumers to look beyond warehouses and custom data processing and use reliable and consistent data to deliver business outcomes, including 8 key steps to get started with data products using a data catalog.
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[Download] Using Alation to Accelerate Your Active Data Governance
By: Alation
Type: White Paper
In this white paper, we explore how Alation helps customers deliver on the promise of active data governance with its Data Governance App and Service Offering. These data winners create and apply digital technologies, especially AI, to transform industry business models and deliver new value for customers. Download this PDF to learn more
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Data quality: The key to a successful data migration
By: Syniti
Type: eBook
In this e-book, you'll discover how to ensure data quality before and during a migration to a new platform. You'll also learn how bad data can impact your business and gain best practices for data cleansing, deduplication, and monitoring to accelerate your migration. Read the full e-book now to unlock the business value of your data.
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Improve data governance with an intelligent data catalog
By: Alation
Type: White Paper
Inside, discover how to innovate your existing data governance strategy with the help of an intelligent data catalog. Explore how an intelligent data catalog can help streamline operational compliance with data governance expectations, and decide if an intelligent data catalog is right for your organization's data governance goals.
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Data maturity model: The path to data excellence
By: Alation
Type: White Paper
How do “data mature” firms become that way, and how can others do the same? This white paper introduces a data maturity model to provide a common framework for benchmarking and advancing data management capabilities. Read on to learn how you can drive success on your own data maturity journey.
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What's all this talk about data mesh?
By: TechTarget ComputerWeekly.com
Type: eGuide
Data mesh is a new approach aims to make data more accessible, usable and valuable to the organization by creating a more flexible, scalable and collaborative data architecture. In this article, we point out some of the benefits and challenges of data mesh, and how to set up the right culture and infrastructure to make the most of this approach.
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30-page e-book: Data portals 101
By: OpenDataSoft
Type: eBook
Data portals can help data leaders democratize access to data and unlock its value. This e-book provides a comprehensive introduction to data portals, including best practices for creating and maintaining them. Download the e-book to learn how to build an effective data portal for your organization.
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Advancing your marketing data transformation
By: MetaRouter
Type: Research Content
This research report dives into the evolving marketing data landscape and key challenges around compliance, privacy, and activation. Inside, you'll learn how to advance your marketing data transformation with strategic initiatives for data collection, compliance, analytics, and a modern tech stack. Read on now to learn more.
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Benefits of offensive data governance
By: Alation
Type: White Paper
It’s a data-driven world. So, how can your organization succeed in it? Read this white paper to learn how, by leveraging an offensive data governance strategy, you can catalyze your business’s growth.
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Alation Data Dialogs: Why Your Data Governance Strategy Needs a New Approach
By: Alation
Type: Webcast
As organizations rely more and more on data analytics to help optimize operations, outdated data governance strategies become greater and greater risks to their enterprises. Check out this webinar and learn how data governance specialists from Alation can help your enterprise shore up the weaknesses in its governance strategies.
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7 tips for building a successful & sustainable data culture
By: Alation
Type: White Paper
A data culture is a critical component of a data-driven enterprise – but how can you build one? Access this white paper to learn about 3 critical pillars to enable a data culture as well as 7 tips for success and sustainability on the CDO’s data culture journey.
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Data classification tools: What they do and who makes them
By: TechTarget ComputerWeekly.com
Type: eGuide
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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Data governance more important now than ever
By: TechTarget ComputerWeekly.com
Type: eGuide
As organisations generate and store ever-increasing volumes of data, governance of that data has never been more important. In this e-guide, we discuss why good data governance is good business, why it's essential to data security and examine the state of GDPR after its first year being in effect.
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Business analytics needs underpinnings of sound data and data-skilled humans
By: TechTarget ComputerWeekly.com
Type: eBook
Data analytics for the solution of first-order business problems is probably more important than ever. It is not new. Companies and organisations have been analysing computerised data for many decades. But all sorts of companies now pronounce themselves "data driven". Read more about business analytics trends in this exclusive e-guide.
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11 trends poised to impact data engineers in 2024
By: Monte Carlo Data
Type: eBook
The data space moves quickly. In this e-book, you’ll discover 11 of the most important trends that are poised to shake up the data engineering landscape this year, including data contracts, cost optimization, the evolution of modern data, and 8 more. Read on to learn how data engineering will evolve in 2024.
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Explore the state of data quality
By: Syniti
Type: Analyst Report
Data quality is crucial but often neglected, with many firms struggling to keep data accurate. This report delves into the data quality market, covering trends, solutions, and best practices. Discover how to enhance data quality and trust in your organization's data by reading the full report.
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Overcoming Enterprise Data Protection Challenges
By: Palo Alto Networks
Type: eBook
Data usage and dependence has evolved rapidly in recent years – which has led to a rise in the necessity for effective data loss prevention (DLP), especially as organization migrate their data to the cloud. Access this exclusive e-book for a closer look at modern data protection challenges and requirements and an intro to cloud-based DLP.
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10 steps to building a data catalog
By: TechTarget ComputerWeekly.com
Type: eGuide
Building a data catalog is an important initiative for many IT and data management teams. But organizations shouldn't undertake a data catalog project without getting input from business users. In this e-guide, learn why data catalogs have become a core component of the data management environment, and the 10 steps to build a data catalog.
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Innovative data platform: Boost your business intelligence
By: Be-Terna
Type: Blog
In this blog post, you’ll learn about an innovative platform designed to help businesses manage, analyze, and leverage their data effectively. Read on to understand how you can help your organization realize the true value of its data with advanced capabilities in data engineering, data analysis, and data science.
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6 data preparation best practices for analytics applications
By: TechTarget ComputerWeekly.com
Type: eGuide
Amid issues of data sources, data silos and data quality, the process of collecting and prepping data for analytics applications requires a practical and effective approach. In this infographic, we put together 6 data preparation best practices for analytics applications to help enterprises master their data.
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Schneider Electric Enhances Data Integration with Qlik
By: Qlik
Type: Case Study
Schneider Electric enhanced data integration and insight speed with Qlik Data Integration. Utilizing Qlik's change data capture tech, Schneider hit higher data accuracy and cut extraction times from days to hours. Discover how Qlik Data Integration sped up Schneider's DataOps in the full story.
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Fail to prepare quality data, prepare to fail
By: TechTarget ComputerWeekly.com
Type: eGuide
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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Research content: Insights into data culture maturity
By: Alation
Type: Research Content
A data intelligence organization recently surveyed nearly 300 global data leaders to understand where businesses lie on the data maturity curve today and gauge what the future might look like. Read on to understand why data culture is not merely a buzzword but a fundamental necessity for organizations aiming to thrive in the digital age.
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Insights on the business impact of data engineering & team satisfaction
By: Software AG
Type: Research Content
StreamSets' report, based on surveys from 523 data engineers and 778 business data consumers, reveals the value of data engineering. It highlights the need for engineers to grasp business impact, better collaboration, and factors for job satisfaction. Discover how to maximize your data team's potential in the report.
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How to Craft Data Quality and Master Data Management Strategies (Podcast)
By: Semarchy
Type: Podcast
If you’re looking for an ideal case study for how MDM drives enterprise reinvention, agility, and growth, this is it. In this podcast with Eckerson Group, you’ll learn why enterprises need data quality and MDM, and how they can craft effective strategies with real-life use cases. Tune in to learn more.
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CW APAC: Expert Advice on data management
By: TechTarget ComputerWeekly.com
Type: Ezine
In this handbook, Computer Weekly looks at how companies and data management experts are tackling data challenges, and finds out how organisations are augmenting data management through artificial intelligence and machine learning.
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Why a data intelligence platform is crucial for enablement
By: Alation
Type: White Paper
Many companies often see a lack of widespread adoption for new data products by key stakeholders. Read on to learn why a rich, data-driven culture requires an organization to have a singular platform through which data can be exchanged.
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Explore first-party compliance in GDPR/CCPA era
By: MetaRouter
Type: Blog
As data privacy regulations like GDPR and CCPA tighten, first-party compliance control is crucial for organizations. In this blog post, you'll learn the benefits of owning data in a first-party context, from mitigating risks to ensuring user data security and transparency. Read the full blog now to learn more.
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A roadmap for AI-powered data landscapes
By: HCL Tech
Type: eGuide
Unstructured data is a goldmine of insights waiting to be discovered. With the right approach, businesses can harness this data to drive growth and innovation. Read the guide today to start unlocking the value in your unstructured data and scale the AI advantage in your business.
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Why a Data Analytics Strategy Is No Longer a Nice-to-Have
By: AllCloud
Type: White Paper
Businesses often struggle to get value out of the data in their operational systems, but many are still considering data analytics strategies as "nice to have" nonessentials. This viewpoint is quickly proving unsustainable. Read this white paper for the four critical reasons to implement a new data analytics strategy for your organization.
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Enterprise Strategy Group: AI-powered data management
By: Informatica
Type: ESG White Paper
This white paper from Enterprise Strategy Group examines how AI-powered data management drives AI success, including for generative AI. It explores data quality, governance, and foundations needed to build responsible AI solutions. Read on now to learn how an AI-powered data management platform can help your organization enhance AI outcomes.
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5 Ways A Data Fabric Generates Value—No Matter Where Your Data Is Located
By: Hewlett Packard Enterprise
Type: White Paper
Distributed data across cloud and edge environments add a whole new set of challenges for developers, data engineers, and scientists. Discover how automation removes management burdens from IT staff, while enabling self-service access to data for AI/ML modeling.
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Hybrid cloud data & analytics: New frontier for data at the edge
By: Hewlett Packard Enterprise
Type: White Paper
Conventional data management systems create data silos and complexity that are at odds with the need for agility in a global enterprise. As a result, data management can’t keep pace with business requirements. Learn how a hybrid cloud-based solution can simplify operations and data management so you can turn your data into intelligence.
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In data privacy we trust: building a strong information protection strategy in the hybrid era
By: TechTarget ComputerWeekly.com
Type: eBook
In this e-guide, find out what it takes to build up a strong data privacy practice in your organisation, the differences between data protection and data privacy, as well as how cyber security and privacy teams can work together to better protect data from prying eyes.
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Unlock Your Data for Better, Faster Decision Making
By: Ensono Limited
Type: Research Content
The volume of data that is captured, created, and consumed worldwide is forecasted to be over 181 zettabytes in just a few years. At the enterprise level, those organizations involved with AI adoption are now under pressure to utilize this data to make significant improvements to the business. Read on to learn how to make the most of your data.
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5 types of data security
By: TechTarget ComputerWeekly.com
Type: Infographic
Because no single form of data exists, no single magic-bullet technique can secure all data. A defense-in-depth data security strategy is made up of a combination of tools, techniques and policies. This infographic gives an overview of the must-have data security technologies.
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The ultimate guide to data preparation
By: TechTarget ComputerWeekly.com
Type: eGuide
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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Build data products quickly with AI-powered automation
By: DataOps.live
Type: Blog
Discover how DataOps.live's new AI-assisted platform, Create, allows data analysts and product owners to build fully governed data products in just 10 minutes. Learn how the platform's AI copilot, DataOps.live Assist, can simplify data transformation and product deployment. Read the full blog post to learn more.
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IT Leader’s Guide to Successful Data Governance
By: Alation
Type: White Paper
This white paper will focus on how an architecture of different technologies and technological capabilities supports data governance. Read on to learn why the key to a successful data architecture is bringing together various software to efficiently address data challenges.
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Data integration to support modern BI and advanced analytics programmes
By: TechTarget ComputerWeekly.com
Type: eGuide
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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Keys for overcoming data challenges for your S/4HANA migration
By: Creactives SPA
Type: White Paper
Preparing for an SAP S/4HANA migration? Discover how to overcome common data challenges and misconceptions that may be holding you back. Learn how to quickly improve data quality with AI-enabled solutions. Read the full white paper to get started.
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Emerging trends in market data monitoring
By: ITRS Group Limited
Type: White Paper
The increasingly digitized capital markets have opened a plethora of new market data channels, which could potentially compromise data quality, control, and management unless they are well managed. In this eBook, take a closer look at market data challenges and emerging trends in market data monitoring.