This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Recently introduced as part of I BM Knowledge Catalog on Cloud Pak for Data (CP4D) , automated microsegment creation enables businesses to analyze specific subsets of data dynamically, unlocking patterns that drive precise, actionable decisions.
As enterprises migrate to the cloud, two key questions emerge: What’s driving this change? And what must organizations overcome to succeed at clouddata warehousing ? What Are the Biggest Drivers of CloudData Warehousing? Yet the cloud, according to Sacolick, doesn’t come cheap. “A
It advocates decentralizing data ownership to domain-oriented teams. Each team becomes responsible for its Data Products , and a self-serve data infrastructure is established. This enables scalability, agility, and improved dataquality while promoting data democratization.
With the accelerating adoption of Snowflake as the clouddata warehouse of choice, the need for autonomously validating data has become critical. While existing DataQuality solutions provide the ability to validate Snowflake data, these solutions rely on a rule-based approach that is […].
What is DataQuality? Dataquality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking dataquality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.
Therefore, the question is not if a business should implement clouddata management and governance, but which framework is best for them. Whether you’re using a platform like AWS, Google Cloud, or Microsoft Azure, data governance is just as essential as it is for on-premises data. Cataloging & Classification.
The post Good AI in 2021 Starts with Great DataQuality appeared first on DATAVERSITY. Achieving good AI is a whole other story. AI initiatives can take a lot of time and effort to get up and running, often exceeding initial budget and […].
Public cloud applications and services allowed enterprises to support employees as they shifted to a fully remote workforce, and now many major components of day-to-day business are on the cloud. In fact, the cloud market is projected to amount to $832.1 billion […].
According to Gartner, data fabric is an architecture and set of data services that provides consistent functionality across a variety of environments, from on-premises to the cloud. Data fabric simplifies and integrates on-premises and cloudData Management by accelerating digital transformation.
Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a clouddata warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.
It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low DataQuality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to ensure qualityData Governance.
The company aims to integrate additional data sources, including other mission-critical systems, into ODAP. This expansion will be coupled with enhanced data governance measures to help promote dataquality and compliance across the growing data solution.
A data lake becomes a data swamp in the absence of comprehensive dataquality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the clouddata lake as the data lake of choice, and the need for validating data in real time has become critical.
The batch views within the Lambda architecture allow for the application of more complex or resource-intensive rules, resulting in superior dataquality and reduced bias over time. On the other hand, the real-time views provide immediate access to the most current data. The post Big Data – Lambda or Kappa Architecture?
It’s on Data Governance Leaders to identify the issues with the business process that causes users to act in these ways. Inconsistencies in expectations can create enormous negative issues regarding dataquality and governance. Establish a data governance program that drives business value by aligning team roles to KPIs.
This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. Find Trusted Data.
These range from data sources , including SaaS applications like Salesforce; ELT like Fivetran; clouddata warehouses like Snowflake; and data science and BI tools like Tableau. This expansive map of tools constitutes today’s modern data stack. Read Q&A blog with Raj. Subscribe to Alation's Blog.
Lastly, active data governance simplifies stewardship tasks of all kinds. Tehnical stewards have the tools to monitor dataquality, access, and access control. A compliance steward is empowered to monitor sensitive data and usage sharing policies at scale. Subscribe to Alation's Blog.
This week, IDC released its second IDC MarketScape for Data Catalogs report, and we’re excited to share that Alation was recognized as a leader for the second consecutive time. And with our Open Connector Framework , customers and partners can easily build connectors to even more data sources. Subscribe to Alation's Blog.
Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. 5 Benefits of Data Modernization. Advanced Tooling.
Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled dataquality challenges. As a result, users boost pipeline performance while ensuring data security and controls. However, businesses scaling AI face entry barriers.
Choose Amazon S3 as the data source and connect it to the dataset. After the dataset is loaded, create a data flow using that dataset. Switch to the analyses tab and create a DataQuality and Insights Report. This is a recommended step to analyze the quality of the input dataset.
But with growing concerns around user privacy, how can companies achieve this level of personalization without compromising our personal data? In todays fast-paced digital landscape, we all love a little bit of personalization.
Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. Subscribe to Alation's Blog. We’re looking forward to great things to come!
The Alation Data Catalog enables you to leverage the DataCloud to boost analyst productivity, accelerate migration, and minimize risk through active data governance. The Alation Data Catalog supports a range of profiles and use cases. Snowflake DataCloud: A Modern Data Platform.
In this blog, we’re going to answer these questions and more. Walking you through the biggest challenges we have found when migrating our customer’s data from a legacy system to Snowflake. You’re in luck because this blog is for anyone ready to move or thinking about moving to Snowflake who wants to know what’s in store for them.
Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. In 2019, I wrote the book “Disrupting Data Governance” because I firmly believe that […].
Central to this is a culture where decisions are made based solely on data, rather than gut feel, seniority, or consensus. Introduced in late 2021 by the EDM Council, The CloudData Management Framework ( CDMC ), sets out best practices and capabilities for data management challenges in the cloud.
Alation is the leading platform for data intelligence , delivering critical context about data to empower smarter use; to this end, it centralizes technical, operational, business, and behavioral metadata from a broad variety of sources. With this context, Tableau users can assess reports to determine their quality and trustworthiness.
March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and DataQuality, 2016 report.
It’s all about breaking down data silos, empowering domain teams to take ownership of their data, and fostering a culture of data collaboration. And when it comes to implementing a data mesh, one platform has been making waves in the data world: the Snowflake DataCloud.
Whether making well-informed investment choices or ensuring adherence to regulations, having access to timely, precise, and secure data can be a game-changer. And that’s where Fivetran comes in – the data connector solution changing how financial services organizations manage their data.
This is a joint blog with AWS and Philips. Data Management – Efficient data management is crucial for AI/ML platforms. Regulations in the healthcare industry call for especially rigorous data governance. Philips is a health technology company focused on improving people’s lives through meaningful innovation.
In our previous blog , we discussed how Fivetran and dbt scale for any data volume and workload, both small and large. Now, you might be wondering what these tools can do for your data team and the efficiency of your organization as a whole. Can these tools help reduce the time our data engineers spend fixing things?
In this blog, we’ll explain how data can be used to make informed decisions to healthcare-related questions like these, why phData should be your choice to take you through your data journey, and an example of how phData has helped a healthcare company like yours. How can we improve clinical diagnoses?
And now with some of these clouddata warehouses becoming such behemoths, everything is getting centralized again. So we have to be very careful about giving the domains the right and authority to fix dataquality. Let’s take data privacy as an example. Subscribe to Alation's Blog.
Upon a quick trial and look at dbt Cloud, the primary things you might notice are the IDE as well as the ease of managing deployments. However, dbt Cloud offers you much more than that. In this blog post, we’ll dive into six of the most powerful dbt Cloud features and many others that you probably don’t know about.
In the data flow view, you can now see a new node added to the visual graph. For more information on how you can use SageMaker Data Wrangler to create DataQuality and Insights Reports, refer to Get Insights On Data and DataQuality. SageMaker Data Wrangler offers over 300 built-in transformations.
Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. CloudData Migration. Let’s take a closer look at the role of DI in the use case of data governance.
As the latest iteration in this pursuit of high-qualitydata sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, dataquality , and ETL/ELT. With Accenture, teams can avoid the costly investment of integrating a broad array of cloud services.
This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. The post Where Is the Data Technology Industry Headed? Click here to learn more about Heine Krog Iversen.
Click to learn more about author Balaji Ganesan. Sources indicate 40% more Americans will travel in 2021 than those in 2020, meaning travel companies will collect an enormous amount of personally identifiable information (PII) from passengers engaging in “revenge” travel.
In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.
Online security has always been an area of concern; however, with recent global events, the world we now live in has become increasingly cloud-centric. With that, I’ve long believed that for most large cloud platform providers offering managed services, such as document editing and storage, email services and calendar […].
We organize all of the trending information in your field so you don't have to. Join 17,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content