Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

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Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

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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Smart Data Collective

SEPTEMBER 19, 2022

Big Data is the collection and processing of huge volumes of different data types, which financial institutions use to gain insights into their business processes and make key company decisions. However, to take full advantage of big data’s powerful capabilities, choosing BI and ETL solutions cannot be over-emphasized.

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Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. The article will be presented in 5 sections, which will be described as follows: Section 1: Brief description that acts as the motivating foundation of this research.

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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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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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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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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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ODSC - Open Data Science

SEPTEMBER 27, 2023

In this article, we will delve into the concept of data lakes, explore their differences from data warehouses and relational databases, and discuss the significance of data version control in the context of large-scale data management. Schema Enforcement: Data warehouses use a “schema-on-write” approach. You can connect with her on Linkedin.

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Data Lakes Data Warehouse Database Big Data 98

Data Science Blog

JUNE 21, 2023

In this article, we will highlight the key elements when it comes to process mining architectures as well as the most common mistakes, to help organizations leverage the power of process mining while maintain cost control. What makes the difference is a smart ETL design capturing the nature of process mining data.

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ODSC - Open Data Science

JUNE 12, 2023

This article is an excerpt from the book Expert Data Modeling with Power BI, Third Edition by Soheil Bakhshi, a completely updated and revised edition of the bestselling guide to Power BI and data modeling. Then we have some other ETL processes to constantly land the past 5 years of data into the Datamarts.

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Power BI Data Warehouse ETL Data Preparation 52

How to Learn Machine Learning

APRIL 26, 2025

Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis. To know more, read our article on what a Machine Learning engineer is. AI Product Manager Manages AI-driven product development, requiring technical and business expertise.

Data Science 52

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The Data Administration Newsletter

APRIL 6, 2021

It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses. A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster.

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Data Warehouse ETL Data Modeling Data Models 52

Alation

JANUARY 17, 2023

In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. Reverse ETL tools. Business intelligence (BI) platforms. A Note on the Shift from ETL to ELT. In the past, data movement was defined by ETL: extract, transform, and load.

Data Warehouse 52

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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.

Data Warehouse 59

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.

Data Warehouse 59

Data Warehouse Business Intelligence Business Intelligence Data Profiling 59

Pickl AI

OCTOBER 10, 2024

This article will explore popular data transformation tools, highlighting their key features and how they can enhance data processing in various applications. Support for Advanced Analytics : Transformed data is ready for use in Advanced Analytics, Machine Learning, and Business Intelligence applications, driving better decision-making.

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Pickl AI

NOVEMBER 5, 2024

Summary: This article highlights the primary differences between JDBC and ODBC and their unique applications and use cases. This article clarifies the key distinctions between these two database connectivity options, helping readers choose the most suitable one for their projects.

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ODSC - Open Data Science

JANUARY 18, 2024

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. ETL tools and techniques are used to extract data from a variety of sources, transform the data into a consistent format, and load the data into the destination.

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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 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 article endeavors to alleviate those confusions. This adds an additional ETL step, making the data even more stale.

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The Data Administration Newsletter

MARCH 20, 2024

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene.

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IBM Journey to AI blog

AUGUST 4, 2023

In this article, we’ll explore the benefits of data democratization and how companies can overcome the challenges of transitioning to this new approach to data. When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?”

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Dataversity

SEPTEMBER 6, 2021

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. The rush to become data-driven is more heated, important, and pronounced than it has ever been.

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DagsHub

NOVEMBER 11, 2024

This is where artificial intelligence steps in as a powerful ally. In this article, we’ll explore how AI can transform unstructured data into actionable intelligence, empowering you to make informed decisions, enhance customer experiences, and stay ahead of the competition.

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ODSC - Open Data Science

SEPTEMBER 29, 2023

Organizations that can capture, store, format, and analyze data and apply the business intelligence gained through that analysis to their products or services can enjoy significant competitive advantages. Spark is more focused on data science, ingestion, and ETL, while HPCC Systems focuses on ETL and data delivery and governance.

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Pickl AI

DECEMBER 10, 2024

This article highlights the key Data Analytics trends shaping 2025, empowering businesses to leverage cutting-edge insights and stay ahead in an increasingly data-driven world. It automates tasks like feature selection and model optimisation, enabling businesses to build robust models faster. from 2023 to 2030.

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Pickl AI

APRIL 26, 2024

This article aims to guide you through the intricacies of Data Analyst interviews, offering valuable insights with a comprehensive list of top questions. By the end of this article, you’ll explore data analytics certification courses that will significantly help you advance your career in the data domain.

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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. ” Vitaly Tsivin, EVP Business Intelligence at AMC Networks.

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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. Click here to learn more about Amit Levi.

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Pickl AI

SEPTEMBER 10, 2024

This article explores how to use AI in Excel for smart solutions, highlighting key AI features and tools that boost productivity. Power Query Power Query is another transformative AI tool that simplifies data extraction, transformation, and loading ( ETL ).

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The Data Administration Newsletter

JANUARY 31, 2023

It happens a thousand times a day. Every time someone partakes in medical care, a record of the care is written. Taken together, there are a LOT of medical records that are written each day. And over time, these records form an impressive and important collection of information. A Wealth of Information For many reasons, […]

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Dataversity

NOVEMBER 28, 2022

There’s been a lot of talk about semantic layers lately. I’ve seen dozens of companies using a semantic layer to drive self-service analytics at scale. But even with all these success stories, I still get this question: “Is a semantic layer worth the effort?” In other words, is the juice worth the squeeze? So, how […].

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Analytics Analytics ETL Business Intelligence 52

Dataversity

FEBRUARY 18, 2025

Data warehouses fuel modern business intelligence but are not without their challenges. With data growing faster than ever and the need for real-time insights, many organizations struggle to keep up. But heres the thing: These challenges are not roadblocks. They are, in fact, opportunities.

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