Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

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Pickl AI

APRIL 14, 2023

As the world slowly drifts towards data-driven decision-making, the relevance of quality data sets becomes even more significant. While most of this data is stored in a repository or on a cloud-based platform, the system’s vulnerability cannot be undermined. Here comes the role of Data Governance.

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Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

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Alation

NOVEMBER 28, 2022

Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it.

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Alation

FEBRUARY 2, 2023

Data product managers are in high demand these days. In 2020, Glassdoor rated product manager as the 4th best job in the US. This makes it more important for aspiring data product managers to stay ahead of the competition. So what sets data product managers apart from the pack? Sounds exciting?

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The MLOps Blog

MARCH 15, 2023

Collaboration : Ensuring that all teams involved in the project, including data scientists, engineers, and operations teams, are working together effectively. Collaboration : Ensuring that all teams involved in the project, including data scientists, engineers, and operations teams, are working together effectively.

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Data Science Blog

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures? Traditional manual scaling methods are cumbersome and slow.

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AWS Machine Learning Blog

FEBRUARY 9, 2023

Data access The new geospatial capabilities in SageMaker offer easy access to geospatial data such as Sentinel-2 and Landsat 8. Data access The new geospatial capabilities in SageMaker offer easy access to geospatial data such as Sentinel-2 and Landsat 8. SageMaker geospatial makes the data query extremely easy.

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AWS Machine Learning Blog

OCTOBER 20, 2023

However, implementing security, data privacy, and governance controls are still key challenges faced by customers when implementing ML workloads at scale. Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services.

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Alation

NOVEMBER 4, 2021

This week I was talking to a data practitioner at a global systems integrator. The practitioner asked me to add something to a presentation for his organization: the value of data governance for things other than data compliance and data security. Now to be honest, I immediately jumped onto data quality.

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Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. This blog focuses on governing spreadsheets that contain data, information, and metadata, and must themselves be governed. The ubiquity of spreadsheets creates disadvantages as well.

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AWS Machine Learning Blog

MAY 1, 2024

Numerous customers face challenges in managing diverse data sources and seek a chatbot solution capable of orchestrating these sources to offer comprehensive answers. It allows you to retrieve data from sources beyond the foundation model, enhancing prompts by integrating contextually relevant retrieved data.

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Alation

JANUARY 25, 2022

Data fabric is now on the minds of most data management leaders. In our previous blog, Data Mesh vs. Data Fabric: A Love Story , we defined data fabric and outlined its uses and motivations. The data catalog is a foundational layer of the data fabric.

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Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. Data pipeline orchestration.

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AWS Machine Learning Blog

APRIL 26, 2024

The DBRX LLM employs a fine-grained mixture-of-experts (MoE) architecture, pre-trained on 12 trillion tokens of carefully curated data and a maximum context length of 32,000 tokens. One of the key components of SageMaker JumpStart is the Model Hub, which offers a vast catalog of pre-trained models, such as DBRX, for a variety of tasks.

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IBM Journey to AI blog

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data.

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Alation

JANUARY 13, 2022

And now, arguably the greatest rivalry the world (well, at least the data community) has ever witnessed: Data Fabric vs Data Mesh! Data fabric and data mesh are both having a moment. Gartner calls data fabric the Future of Data Management 1. Gartner on Data Fabric. Tyson vs Holyfield.

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Alation

MARCH 16, 2023

The very word can cast a shiver of dread through many a hardened data professional’s spine. They are everywhere, they seem to multiply, and no one can be entirely sure how many their organization may have, nor — perhaps more worryingly — where the data they contain may have originated. Spreadsheets. They were so very right.

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AWS Machine Learning Blog

JUNE 14, 2023

Amazon SageMaker is a fully managed service to prepare data and build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. Every organization has its own set of standards and practices that provide security and governance for their AWS environment.

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AWS Machine Learning Blog

SEPTEMBER 18, 2023

Data underpins Arup consultancy for clients with world-class collection and analysis providing insight to make an impact. Modeling UHI accurately is a complex challenge, which Arup is now solving with earth observation data and Amazon SageMaker. Earth Observation (EO) data was used to perform the analysis at city scale.

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phData

APRIL 10, 2023

In almost every modern organization, data and its respective analytics tools serve to be that big blue crayon. Users across the organization need that big blue crayon to make decisions every day, answer questions about the business, or drive changes based on data.

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AWS Machine Learning Blog

JUNE 29, 2023

Additionally, as a fully managed AI service, Amazon Personalize accelerates customer digital transformations with ML, making it easier to integrate personalized recommendations into existing websites, applications, email marketing systems, and more. Why is context important?

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Alation

JULY 8, 2021

A central challenge for modern organizations is no longer gathering data — it’s navigating a veritable forest of it. Data presents an opportunity. Data-driven businesses know this. They ask: How can we ensure we’re using data to grow smarter? A Mess of Data: The Data Intelligence Challenge.

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DataRobot Blog

APRIL 1, 2018

Paxata was a Silver Sponsor at the recent Gartner Data and Analytics Summit in Grapevine Texas. Although some product solutions disrupted the operational reporting market, they require users to know the questions they need to ask their data. 2) Line of business is taking a more active role in data projects. We agree with that.

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The MLOps Blog

OCTOBER 20, 2023

Jupyter notebooks have been one of the most controversial tools in the data science community. Nevertheless, many data scientists will agree that they can be really valuable – if used well. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. How has this AB test performed?

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Alation

APRIL 2, 2021

Three new case studies from Alation have exciting implications for the world of data management. The Time Is on My Side case studies examine major pain points for data-centric enterprises. Recently I sat down with the study authors and data scientists at Alation, Andrea Levy and Naveen Kalyanasamy. What was your approach?

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Alation

FEBRUARY 13, 2020

This was an eventful year in the world of data and analytics. billion merger of Cloudera and Hortonworks, the widely scrutinized GDPR (General Data Protection Regulation), or the Cambridge Analytica scandal that rocked Facebook. Amid the headline grabbing news, 2018 will also be remembered as the year of the data catalog.

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Alation

FEBRUARY 20, 2020

Data catalogs are here to stay. This week, two independent analyst reports validated what we’ve known for years – data catalogs are critical for self-service analytics.[1]. The Forrester Wave : Machine Learning Data Catalogs, Q2 2018. This is Forrester’s inaugural Wave on data catalogs.

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Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

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IBM Journey to AI blog

AUGUST 3, 2023

In a recent trend, many organizations are opting to store their sensitive data in the cloud. Others choose to keep their sensitive data on-premises or even across multiple types of environments. As a result, more and more companies are faced with the challenge of costly data breaches and data democratization.

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