Dataversity

MARCH 6, 2023

Data lakes and semantic layers have been around for a long time – each living in their own walled gardens, tightly coupled to fairly narrow use cases. As data and analytics infrastructure migrates to the cloud, many are challenging how these foundational technology components fit in the modern data and analytics stack.

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Smart Data Collective

OCTOBER 27, 2021

Interactive analytics applications make it easy to get and build reports from large unstructured data sets fast and at scale. In this article, we’re going to look at the top 5. Firebolt makes engineering a sub-second analytics experience possible by delivering production-grade data applications & analytics. Google BigQuery.

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Dataversity

SEPTEMBER 12, 2022

The ways in which we store and manage data have grown exponentially over recent years – and continue to evolve into new paradigms. For much of IT history, though, enterprise data architecture has existed as monolithic, centralized “data lakes.” The post Data Mesh or Data Mess?

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Precisely

JANUARY 25, 2024

Many organizations adopt a long-term approach, leveraging the relative strengths of both mainframe and cloud systems. This integrated strategy keeps a wide range of IT options open, blending the reliability of mainframes with the innovation of cloud computing.

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ODSC - Open Data Science

JULY 11, 2023

6] Questions for AI About Data Centers To learn more about data centers I began by asking ChatGPT what Chief Transformation Officers should know about them. This interaction is described in my upcoming article in CXOTech Magazine. Next, I asked what a data center typically looks like and how it should be staffed.

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phData

FEBRUARY 14, 2023

Qlik Replicate Qlik Replicate is a data integration tool that supports a wide range of source and target endpoints with configuration and automation capabilities that can give your organization easy, high-performance access to the latest and most accurate data. Replication of calculated values is not supported during Change Processing.

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IBM Journey to AI blog

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. The post Exploring the AI and data capabilities of watsonx appeared first on IBM Blog.

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Dataversity

SEPTEMBER 6, 2021

The rush to become data-driven is more heated, important, and pronounced than it has ever been. Businesses understand that if they continue to lead by guesswork and gut feeling, they’ll fall behind organizations that have come to recognize and utilize the power and potential of data. Click to learn more about author Mike Potter.

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Dataversity

MARCH 22, 2021

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.

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Dataversity

MARCH 29, 2021

The post The Move to Public Cloud and an Intelligent Data Strategy appeared first on DATAVERSITY. Click to learn more about author Joe Gaska. This is especially true when it comes to applications. As […].

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Dataversity

APRIL 5, 2021

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark. The mandate for IT to deliver business value has never been stronger.

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The MLOps Blog

MAY 17, 2023

Often the Data Team, comprising Data and ML Engineers , needs to build this infrastructure, and this experience can be painful. We also need data profiling i.e. data discovery, to understand if the data is appropriate for ETL. This involves looking at the data structure, relationships, and content.

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Mlearning.ai

FEBRUARY 16, 2023

In this article, you’ll discover what a Snowflake data warehouse is, its pros and cons, and how to employ it efficiently. The platform enables quick, flexible, and convenient options for storing, processing, and analyzing data. Furthermore, a shared-data approach stems from this efficient combination.

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Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

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Dataversity

FEBRUARY 15, 2021

The post 2021 Crystal Ball: What’s in Store for AI, Machine Learning, and Data appeared first on DATAVERSITY. Click to learn more about author Rachel Roumeliotis. Artificial intelligence (AI) is no longer a “nice-to-have.” As we bid 2020 a […].

Machine Learning 59

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The Data Administration Newsletter

JULY 17, 2024

They are interesting to an extent, but mostly, they feel like a late-night re-run and remind me that data work is hard. If you haven’t heard about metrics stores yet, they’re “newish,” so you likely will. So, what is a metrics store? Most of the young vendors trying to create this category will tell you that […]

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Dataversity

FEBRUARY 17, 2022

With machine learning (ML) and artificial intelligence (AI) applications becoming more business-critical, organizations are in the race to advance their AI/ML capabilities. To realize the full potential of AI/ML, having the right underlying machine learning platform is a prerequisite.

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Dataversity

FEBRUARY 16, 2022

The semantic layer concept within the data stack is not new but is an increasingly popular topic of conversation. I predict that in 2022, we’ll see mainstream awareness of the semantic layer, especially as enterprises begin to see real-world examples of its benefits.

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Dataversity

FEBRUARY 8, 2022

Every generation of data infrastructure technology has promised more speed and agility, or better standardization, centralization, and control.

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Dataversity

OCTOBER 14, 2021

On August 20, 2021, the People’s Republic of China passed its first comprehensive data privacy law, the Personal Information Protection Law (PIPL). Click to learn more about author Joe Gaska.

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Dataversity

MAY 17, 2021

There are advantages and disadvantages to both ETL and ELT. To understand which method is a better fit, it’s important to understand what it means when one letter comes before the other. The post Understanding the ETL vs. ELT Alphabet Soup and When to Use Each appeared first on DATAVERSITY.

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Dataversity

MARCH 17, 2021

I do not think it is an exaggeration to say data analytics has come into its own over the past decade or so. What started out as an attempt to extract business insights from transactional data in the ’90s and early 2000s has now transformed into an […]. The post Is Lakehouse Architecture a Grand Unification in Data Analytics?

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