IBM Data Science in Practice

JANUARY 2, 2025

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. With this, businesses can unlock granular insights with minimal effort.

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Alation

JULY 28, 2022

As enterprises migrate to the cloud, two key questions emerge: What’s driving this change? And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? Yet the cloud, according to Sacolick, doesn’t come cheap. “A

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Data Science Blog

JULY 23, 2023

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 data quality while promoting data democratization.

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Dataversity

MARCH 2, 2022

With the accelerating adoption of Snowflake as the cloud data warehouse of choice, the need for autonomously validating data has become critical. While existing Data Quality solutions provide the ability to validate Snowflake data, these solutions rely on a rule-based approach that is […].

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AWS Machine Learning Blog

APRIL 3, 2025

Data governance challenges Maintaining consistent data governance across different systems is crucial but complex. The company aims to integrate additional data sources, including other mission-critical systems, into ODAP. The following diagram shows a basic layout of how the solution works.

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Precisely

MARCH 14, 2023

Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms. eBook 4 Ways to Measure Data Quality To measure data quality and track the effectiveness of data quality improvement efforts you need data.

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Alation

SEPTEMBER 7, 2021

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. So why are organizations not able to scale governance? Meet Governance Requirements.

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Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

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Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

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Dataversity

FEBRUARY 25, 2022

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 […]. The post Dear Laura: What Role Should Leadership Play in Data Governance?

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Dataconomy

SEPTEMBER 4, 2023

Understand what insights you need to gain from your data to drive business growth and strategy. Best practices in cloud analytics are essential to maintain data quality, security, and compliance ( Image credit ) Data governance: Establish robust data governance practices to ensure data quality, security, and compliance.

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Dataversity

JANUARY 8, 2021

The post Good AI in 2021 Starts with Great Data Quality 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 […].

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Dataversity

SEPTEMBER 30, 2022

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 […].

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Dataversity

AUGUST 5, 2021

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 cloud Data Management by accelerating digital transformation.

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Dataversity

MAY 26, 2022

A data lake becomes a data swamp in the absence of comprehensive data quality validation and does not offer a clear link to value creation. Organizations are rapidly adopting the cloud data lake as the data lake of choice, and the need for validating data in real time has become critical.

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Alation

AUGUST 30, 2022

we are introducing Alation Anywhere, extending data intelligence directly to the tools in your modern data stack, starting with Tableau. We continue to make deep investments in governance, including new capabilities in the Stewardship Workbench, a core part of the Data Governance App. Data governance at scale.

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Alation

APRIL 19, 2022

In that sense, data modernization is synonymous with cloud migration. Modern data architectures, like cloud data warehouses and cloud data lakes , empower more people to leverage analytics for insights more efficiently. What Is the Role of the Cloud in Data Modernization?

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The Data Administration Newsletter

NOVEMBER 1, 2022

In today’s information-driven society, there is perhaps nothing more ubiquitous and nothing that is multiplying at a more rapid pace than data. According to Forbes, more than 90% of the data that is available worldwide today was created within the last two years alone.

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Alation

AUGUST 16, 2022

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. We hear from them regularly.

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Alation

AUGUST 11, 2021

The three of us talked migration strategy and the best way to move to the Snowflake Data Cloud. As Vice President of Data Governance at TMIC, Anthony has robust experience leading cloud migration as part of a larger data strategy. Creating an environment better suited for data governance.

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Alation

AUGUST 26, 2021

It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.

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Alation

DECEMBER 15, 2022

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 Data Quality, 2016 report.

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Alation

JUNE 21, 2022

The audience grew to include data scientists (who were even more scarce and expensive) and their supporting resources (e.g., After that came data governance , privacy, and compliance staff. Power business users and other non-purely-analytic data citizens came after that. Data engineers want to catalog data pipelines.

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Precisely

MAY 13, 2024

The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions. As enterprise technology landscapes grow more complex, the role of data integration is more critical than ever before.

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Alation

AUGUST 17, 2021

The Alation Data Catalog is built as a platform, unifying disparate data into a singular view. The Alation Data Catalog enables you to leverage the Data Cloud to boost analyst productivity, accelerate migration, and minimize risk through active data governance. Empower Anyone to Find Trusted Data.

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Dataversity

DECEMBER 11, 2024

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.

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Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. Integrated data catalog for metadata support As you build out your IT ecosystem, it is important to leverage tools that have the capabilities to support forward-looking use cases. A notable capability that achieves this is the data catalog.

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Pickl AI

OCTOBER 15, 2024

Talend Talend is a leading open-source ETL platform that offers comprehensive solutions for data integration, data quality , and cloud data management. It supports both batch and real-time data processing , making it highly versatile.

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Alation

MARCH 28, 2023

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 Cloud Data Management Framework ( CDMC ), sets out best practices and capabilities for data management challenges in the cloud.

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Precisely

MAY 23, 2024

Whatever your approach may be, enterprise data integration has taken on strategic importance. Integrated data catalog for metadata support As you build out your IT ecosystem, it is important to leverage tools that have the capabilities to support forward-looking use cases. A notable capability that achieves this is the data catalog.

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phData

SEPTEMBER 20, 2023

Data mesh proposes a decentralized and domain-oriented model for data management to address these challenges. What are the Advantages and Disadvantages of Data Mesh? Advantages of Data Mesh Improved data quality due to domain teams having responsibility for their own data.

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phData

JANUARY 24, 2024

Fivetran includes features like data movement, transformations, robust security, and compatibility with third-party tools like DBT, Airflow, Atlan, and more. Its seamless integration with popular cloud data warehouses like Snowflake can provide the scalability needed as your business grows.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

Data Management – Efficient data management is crucial for AI/ML platforms. Regulations in the healthcare industry call for especially rigorous data governance. It should include features like data versioning, data lineage, data governance, and data quality assurance to ensure accurate and reliable results.

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Dataversity

APRIL 8, 2022

While the mounting cost of raw materials may not be the culprit, enterprises are simultaneously watching the cost of data starting to rise as well. The post The Rise of Enterprise Data Inflation appeared first on DATAVERSITY. Inflation is on everyone’s minds, with consumer prices soaring by 7.9% What do I […].

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Dataversity

SEPTEMBER 20, 2021

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.

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Alation

AUGUST 11, 2022

And now with some of these cloud data 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 data quality. Let’s take data privacy as an example. And then the Internet came out and we decentralized.

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Alation

MARCH 22, 2022

As the latest iteration in this pursuit of high-quality data sharing, DataOps combines a range of disciplines. It synthesizes all we’ve learned about agile, data quality , and ETL/ELT. DataOps is critically dependent on robust governance and cataloging capabilities.

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