Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. These tools transform raw data into actionable insights, enabling businesses to make informed decisions, improve operational efficiency, and adapt to market trends effectively.

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Business Intelligence Business Intelligence Power BI Data Visualization 52

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. By implementing a robust BI architecture, businesses can make informed decisions, optimize operations, and gain a competitive edge in their industries. What is Business Intelligence Architecture?

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Pickl AI

DECEMBER 15, 2024

This blog covers the top 20 data warehouse interview questions that you should be well-versed in, along with detailed explanations to help you prepare effectively. Familiarise yourself with ETL processes and their significance. ETL Process: Extract, Transform, Load processes that prepare data for analysis.

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Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. Key skills include SQL, data visualization, and business acumen. This blog will comprehensively explore the world of BI, dissecting what it is, the multifaceted responsibilities of a BI Analyst, and how to embark on this rewarding career path.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

The MLOps Blog

MAY 17, 2023

However, efficient use of ETL pipelines in ML can help make their life much easier. This article explores the importance of ETL pipelines in machine learning, a hands-on example of building ETL pipelines with a popular tool, and suggests the best ways for data engineers to enhance and sustain their pipelines.

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Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science. The post How Cloud Data Platforms improve Shopfloor Management appeared first on Data Science Blog.

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Cloud Data Data Science Business Intelligence Business Intelligence 147

IBM Journey to AI blog

OCTOBER 22, 2024

This process is known as data integration , one of the key components to improving the usability of data for AI and other use cases, such as business intelligence (BI) and analytics. Data must be combined and harmonized from multiple sources into a unified, coherent format before being used with AI models.

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Dataversity

SEPTEMBER 21, 2021

In my first business intelligence endeavors, there were data normalization issues; in my Data Governance period, Data Quality and proactive Metadata Management were the critical points. One of the most fascinating things I’ve found at my current organization is undoubtedly the declarative approach. But […].

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Alation

FEBRUARY 20, 2020

With blogs, anyone can now write and distribute an article and with message boards anyone can post an advertisement. Business Intelligence used to require months of effort from BI and ETL teams. Today, any data scientist, business analyst or business person can use Trifacta to transform, prepare, and move data.

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Dataversity

DECEMBER 7, 2020

Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and actions throughout their enterprises. These groups want to expand their user base for data discovery, BI, and analytics so that their business […].

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Data Warehouse Business Intelligence Business Intelligence Analytics 90

IBM Journey to AI blog

MARCH 14, 2024

.   Request a live demo or start a proof of concept with Amazon RDS for Db2 Db2 Warehouse SaaS on AWS The cloud-native Db2 Warehouse fulfills your price and performance objectives for mission-critical operational analytics, business intelligence (BI) and mixed workloads.

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IBM Journey to AI blog

JUNE 29, 2023

This blog explores the significance of IBP in today’s modern business landscape and highlights its key benefits and implementation considerations. Advanced analytics and business intelligence tools are utilized to analyze and interpret the data, uncovering insights and trends that drive informed decision-making.

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Analytics Analytics Business Intelligence Business Intelligence 94

Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

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Business Intelligence Business Intelligence SQL Data Visualization 52

AWS Machine Learning Blog

OCTOBER 9, 2024

Using Amazon QuickSight for anomaly detection Amazon QuickSight is a fast, cloud-powered, business intelligence service that delivers insights to everyone in the organization. To use this feature, you can write rules or analyzers and then turn on anomaly detection in AWS Glue ETL. To learn more, see the documentation.

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Pickl AI

NOVEMBER 4, 2024

As businesses increasingly rely on data-driven decision-making, efficient database connectivity becomes crucial for integrating diverse data sources and ensuring smooth application functionality. The ODBC market , valued at USD 1.5 billion in 2023, is projected to grow at a remarkable CAGR of 19.50% from 2024 to 2032.

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Data Science Blog

JUNE 21, 2023

What makes the difference is a smart ETL design capturing the nature of process mining data. The post How to reduce costs for Process Mining appeared first on Data Science Blog. Depending the organization situation and data strategy, on premises or hybrid approaches should be also considered.

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Big Data Big Data Data Engineering Data Engineer 130

Dataconomy

OCTOBER 17, 2023

In this blog post, we’ll examine what is data warehouse architecture and what exactly constitutes good data warehouse architecture as well as how you can implement one successfully without needing some kind of computer science degree!

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AWS Machine Learning Blog

JUNE 25, 2024

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.

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Pickl AI

MARCH 19, 2025

Data engineering is all about collecting, organising, and moving data so businesses can make better decisions. In this blog, well explore the best data engineering tools that make data work easier, faster, and more reliable. It is commonly used for analytics and business intelligence, helping organisations make data-driven decisions.

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Data Engineering Data Engineering Data Engineer Data Engineering 52

Alation

JANUARY 17, 2023

Reverse ETL tools. Business intelligence (BI) platforms. The modern data stack is also the consequence of a shift in analysis workflow, fromextract, transform, load (ETL) to extract, load, transform (ELT). A Note on the Shift from ETL to ELT. Examples of reverse ETL tools include Weld or Census, or Hightouch.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Dataversity

FEBRUARY 1, 2021

In Part 1 and Part 2 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Click to learn more about author Wayne Yaddow.

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Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Dataversity

JANUARY 11, 2021

In Part 1 of this series, we described how data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations. Click to learn more about author Wayne Yaddow.

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Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Becoming Human

JANUARY 23, 2023

And for searching the term you landed on multiple blogs, articles as well YouTube videos, because this is a very vast topic, or I, would say a vast Industry. I’m not saying those are incorrect or wrong even though every article has its mindset behind the term ‘ Data Science ’.

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Pickl AI

NOVEMBER 15, 2023

It involves the extraction, transformation, and loading (ETL) process to organize data for business intelligence purposes. Transactional databases, containing operational data generated by day-to-day business activities, feed into the Data Warehouse for analytical processing.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

phData

NOVEMBER 9, 2023

This blog was originally written by Keith Smith and updated for 2024 by Justin Delisi. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before. What is a Data Lake?

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Data Warehouse Data Lakes Clustering Cloud Data 98

ODSC - Open Data Science

JANUARY 18, 2024

In this blog post, we will discuss how you can become a data engineer if you are a data scientist. ETL (Extract, Transform, Load) This is a core data engineering process for moving data from one or more sources to a destination, typically a data warehouse or data lake. But first, let’s briefly define what a data engineer is.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

AUGUST 9, 2024

Summary: This blog delves into hierarchies in dimensional modelling, highlighting their significance in data organisation and analysis. Introduction Dimensional modelling is a design approach used in data warehousing and business intelligence that structures data into a format that is intuitive and efficient for querying and reporting.

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Data Warehouse Data Quality ETL Business Intelligence 52

phData

SEPTEMBER 25, 2024

While numerous ETL tools are available on the market, selecting the right one can be challenging. There are a few Key factors to consider when choosing an ETL tool, which includes: Business Requirement: What type or amount of data do you need to handle? Another way is to add the Snowflake details through Fivetran.

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ETL Database Data Warehouse Analytics 52

phData

MAY 11, 2023

In Matillion ETL, the Git integration enables an organization to connect to any Git offering (e.g., For Matillion ETL, the Git integration requires a stronger understanding of the workflows and systems to effectively manage a larger team. This is a key component of the “Data Productivity Cloud” and closing the ETL gap with Matillion.

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IBM Journey to AI blog

JANUARY 5, 2023

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases. Learn more about the benefits of data fabric and IBM Cloud Pak for Data.

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Data Quality Data Lakes Data Warehouse Big Data 52

Alation

FEBRUARY 7, 2023

Data warehouses obfuscate data’s origin In 2013, I was a Business Intelligence Engineer at a financial services company. The business analysts were dealing with a problem that may sound familiar to folks in the data management space. Subscribe to Alation's Blog Get the latest data cataloging news and trends in your inbox.

Data Warehouse 52

Data Warehouse ETL Business Intelligence Business Intelligence 52

Pickl AI

MARCH 10, 2025

Summary: Power BI is a business intelligence tool that transforms raw data into actionable insights. Introduction Managing business and its key verticals can be challenging. Power BI is a powerful business intelligence tool that transforms raw data into actionable insights through interactive dashboards and reports.

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IBM Journey to AI blog

JANUARY 18, 2023

Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. This adds an additional ETL step, making the data even more stale. appeared first on Journey to AI Blog. It was Datawarehouse.

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phData

JULY 11, 2023

Power BI Datamarts provides a low/no code experience directly within Power BI Service that allows developers to ingest data from disparate sources, perform ETL tasks with Power Query, and load data into a fully managed Azure SQL database. Note: At the time of writing this blog, Power BI Datamarts is in preview.

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phData

DECEMBER 2, 2024

Power BI’s, and now Fabric’s ability to centralize dashboards and Semantic Models (formerly datasets) so that reporting is easily accessible and data can be shared without unnecessarily duplicating is second to none in the business intelligence product realm. What are Dataflows, and Why are They So Great?

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Power BI Data Modeling Data Models Data Visualization 52

IBM Journey to AI blog

JULY 3, 2024

To power AI and analytics workloads across your transactional and purpose-built databases, you must ensure they can seamlessly integrate with an open data lakehouse architecture without duplication or additional extract, transform, load (ETL) processes.

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IBM Journey to AI blog

JULY 1, 2024

Extraction, transformation and loading (ETL) tools dominated the data integration scene at the time, used primarily for data warehousing and business intelligence. Critical and quick bridges The demand for lineage extends far beyond dedicated systems such as the ETL example. This made things simple.

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