IBM Journey to AI blog

SEPTEMBER 19, 2023

js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges. There can be fragmented data, a short supply of data science skills and rigid IT standards for training and deployment. Watsonx comprises of three powerful components: the watsonx.ai

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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. Read Q&A blog with Raj.

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Alation

MARCH 29, 2022

This led to the birth of separate systems for reporting: the enterprise data warehouse. For the first time, the focus of a system became business questions, where data was denormalized. These so-called “citizen data scientists” remained a roadblock between business users and data — and between data and decision making.

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Alation

FEBRUARY 20, 2020

Tools like MicroStrategy and Tableau make it easy for business users to quickly turn raw data into visualizations and reports. But before you can even start, you have to find a relevant data set, understand it, and trust it. Subscribe to Alation's Blog. Get the latest data cataloging news and trends in your inbox.

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phData

JUNE 13, 2023

Data modeling in Power BI has a major impact on the performance of reports and should be considered a substantial learning milestone for new Power BI developers. In this blog, we’ll describe data modeling and its significance in Power BI. Throughout this blog, we will return to the example below. What is Data Modeling?

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Pickl AI

MARCH 3, 2025

Business Intelligence Analysts are the skilled artisans who transform this raw data into valuable insights, empowering organizations to make strategic decisions and stay ahead of the curve. Key Takeaways BI Analysts convert data into actionable insights for strategic business decisions. Ensuring data integrity and security.

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phData

FEBRUARY 14, 2023

Data integration is essentially the Extract and Load portion of the Extract, Load, and Transform (ELT) process. Data ingestion involves connecting your data sources, including databases, flat files, streaming data, etc, to your data warehouse. Snowflake provides native ways for data ingestion.

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Pickl AI

JANUARY 15, 2025

Furthermore, a study indicated that 71% of organisations consider Data Analytics a critical factor for enhancing their business performance. This blog will explore what Business Intelligence tools are, their functionalities, real-world applications, and address common questions surrounding them.

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Alation

FEBRUARY 13, 2020

For that, we are using tools like Alation, Tableau and MicroStrategy. And, then, if they need to run a query, they can choose the query that is certified, for example, from the BI team, and then they can continue their analysis through Tableau to obtain their own insights. Subscribe to Alation's Blog. So it’s the best thing.

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phData

AUGUST 9, 2024

Typically, this data is scattered across Excel files on business users’ desktops. It is extremely labor intensive, and the team wants to automate it using Snowflake and Tableau. Financial data is pulled from the ERP. The current process involves analysts opening Excel files and copying and pasting values.

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phData

MAY 25, 2023

One of the easiest ways for Snowflake to achieve this is to have analytics solutions query their data warehouse in real-time (also known as DirectQuery). If you’re interested in learning more, we highly recommend checking out our comprehensive blog that covers this in much more detail.

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Alation

SEPTEMBER 7, 2021

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. Subscribe to Alation's Blog.

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Alation

MARCH 1, 2022

Lineage helps them identify the source of bad data to fix the problem fast. Manual lineage will give ARC a fuller picture of how data was created between AWS S3 data lake, Snowflake cloud data warehouse and Tableau (and how it can be fixed). Time is money,” said Leonard Kwok, Senior Data Analyst, ARC.

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Pickl AI

AUGUST 11, 2024

Summary: This blog discusses best practices for designing effective fact tables in dimensional models. Additionally, it addresses common challenges and offers practical solutions to ensure that fact tables are structured for optimal data quality and analytical performance.

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Pickl AI

JANUARY 28, 2025

Introduction Business Intelligence (BI) architecture is a crucial framework that organizations use to collect, integrate, analyze, and present business data. This architecture serves as a blueprint for BI initiatives, ensuring that data-driven decision-making is efficient and effective.

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Pickl AI

AUGUST 9, 2024

Summary: This blog delves into hierarchies in dimensional modelling, highlighting their significance in data organisation and analysis. Real-world examples illustrate their application, while tools and technologies facilitate effective hierarchical data management in various industries.

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phData

FEBRUARY 9, 2023

In this blog, we’ll take a closer look into how analytics can be useful in manufacturing. One popular option is the Snowflake Data Cloud , a cloud-based data warehouse that allows users to store, query, and analyze large amounts of data.

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phData

SEPTEMBER 8, 2023

With its unique architecture and feature set, Snowflake offers a multitude of benefits that empower organizations to derive valuable insights and unlock the full potential of their data. Furthermore, we will explain how Snowflake’s data sharing capabilities make it simple to share your data, while its security features keep it safe.

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Pickl AI

AUGUST 9, 2024

A well-structured syllabus for Big Data encompasses various aspects, including foundational concepts, technologies, data processing techniques, and real-world applications. This blog aims to provide a comprehensive overview of a typical Big Data syllabus, covering essential topics that aspiring data professionals should master.

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phData

FEBRUARY 5, 2024

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.

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Pickl AI

JULY 25, 2023

Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc. Domain Knowledge: Understanding the specific domain where they apply data analysis. Data Engineers play a pivotal role in ensuring that data is accessible, reliable, and available for analysis.

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Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

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Alation

FEBRUARY 20, 2020

Data lakes, while useful in helping you to capture all of your data, are only the first step in extracting the value of that data. Watch the complete video interview below: Subscribe to Alation's Blog. Get the latest data cataloging news and trends in your inbox.

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Alation

FEBRUARY 13, 2020

With TrustCheck, data analysts see color-coded visual cues whenever they use a questionable source, right in their natural workflow in real-time, whether they’re working in Alation Compose, in Tableau or in SalesForce Einstein Analytics. That’s as I’m creating a data asset. Subscribe to Alation's Blog.

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Pickl AI

JULY 3, 2023

Familiarize yourself with data analysis techniques and tools. Learn BI technologies: Gain proficiency in popular BI tools and technologies such as Microsoft Power BI, Tableau, QlikView, or MicroStrategy. BI Developer Skills Required To excel in this role, BI Developers need to possess a range of technical and soft skills.

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Business Intelligence Business Intelligence SQL Data Visualization 52

DataRobot Blog

FEBRUARY 21, 2022

Tables of data and the graphics they created were viewed in different tools. Data analysts spent many hours converting assets into reports or refactoring them in more graphic native tools, such as Tableau. We had a lot of workarounds to address many of the issues that I’ll share later in this blog.

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Alation

FEBRUARY 13, 2020

Who says you can’t rock and roll with data? TrustCheck lets every self-service analytics user instantly know whether the data or query logic selected is trustworthy and appropriate, irrespective of whether that data lives in Salesforce, Tableau, or is being accessed directly from a database,” said our CEO Satyen Sangani.

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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. Spoiler alert!

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phData

NOVEMBER 13, 2023

In this blog, we’ll spotlight the transformative announcements that emerged from the Coalesce Conference. Join us as we navigate the key takeaways defining the future of data transformation. dbt Mesh Enterprises today face the challenge of managing massive, intricate data projects that can slow down innovation.

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Data Science Blog

FEBRUARY 7, 2023

Vor einen Jahrzehnt war es immer noch recht üblich, sich einfach ein BI Tool zu nehmen, sowas wie QlikView, Tableau oder PowerBI, mittlerweile gibt es ja noch einige mehr, und da direkt die Daten reinzuladen und dann halt loszulegen mit dem Aufbau der Reports. Ein Data Warehouse ist eine oder eine Menge von Datenbanken.

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Tableau

APRIL 3, 2021

Welcome to our monthly highlight of tips, tricks and inspiration produced by the Tableau Community. The Tableau Community and the DataFam never cease to amaze me. Always pushing the limits of what the tool is capable of, showing the world the power of data, and challenging thinking about the world of analytics and data visualization.

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Tableau Data Visualization Data Warehouse Analytics 101

Data Science Blog

JULY 20, 2024

Es bietet vollständige Automatisierung des BI-Stacks und unterstützt ein breites Spektrum an Data Warehouses, analytischen Datenbanken und Frontends. Automatisierung: Erstellt SQL-Code, DACPAC-Dateien, SSIS-Pakete, Data Factory-ARM-Vorlagen und XMLA-Dateien. Data Lakes: Unterstützt MS Azure Blob Storage.

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Tableau

APRIL 3, 2021

Welcome to our monthly highlight of tips, tricks and inspiration produced by the Tableau Community. The Tableau Community and the DataFam never cease to amaze me. Always pushing the limits of what the tool is capable of, showing the world the power of data, and challenging thinking about the world of analytics and data visualization.

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Tableau Data Visualization Data Warehouse Analytics 52

Tableau

MAY 25, 2021

VP Product Management and Data, Tableau. If we’ve learned anything in the past year, it’s how much our progress hinges on the ability to share and collaborate around data. . Companies in similar fields want to collaborate on open data sets, such as enriched census data or machine learning (ML) training data sets.

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Tableau

MAY 25, 2021

VP Product Management and Data, Tableau. If we’ve learned anything in the past year, it’s how much our progress hinges on the ability to share and collaborate around data. . Companies in similar fields want to collaborate on open data sets, such as enriched census data or machine learning (ML) training data sets.

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