Astera

FEBRUARY 26, 2024

Azure SQL Data Warehouse, now called Azure Synapse Analytics, is a powerful analytics and BI platform that enables organizations to process and analyze large volumes of data in a centralized place. However, businesses need to employ the right Azure ETL (Extract, Transform, Load) tools to fully leverage its powerful capabilities.

Data Warehouse 52

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Astera

FEBRUARY 16, 2024

ETL Using Python: Exploring the Pros vs. Cons Are you looking to automate and streamline your data integration process? Today, you will learn how to build ETL pipelines using Python – a popular and versatile programming language. Is It Possible to Build ETL Using Python ?

Data Warehouse 52

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Insight Software

AUGUST 4, 2023

Learning to work with data involves developing the technical skills to manage large data sets and the soft skills to use storytelling and influencing to help audiences make data-informed decisions. Modern Excel” is a term some people use to describe all the new capabilities Microsoft has added over the last decade.

Data Analytics 52

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Sisense

APRIL 17, 2020

This is all a far cry from the time when storing information was the biggest challenge an organization had to overcome. Organizations did endless analysis around what machines to purchase and how to best maintain them, then struggled with hiring professionals to handle their installation and upkeep. .

Data Warehouse 90

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Astera

JANUARY 18, 2024

Download Trial Fivetran Limitations While Fivetran is a viable tool for basic ELT projects, it does come with some limitations when it comes to broader data integration projects, especially in large enterprises. As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes.

Data Warehouse 52

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Smart Data Collective

JULY 22, 2019

Regardless of the scale of your business, implementing the right business intelligence tool can help you get more use of your data than ever and drive more profit. Regardless of the scale of your business, implementing the right business intelligence tool can help you get more use of your data than ever and drive more profit.

Business Intelligence 202

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Astera

FEBRUARY 14, 2024

Salesforce data migration is the process of transferring data from external sources, legacy systems, typically databases, into the Salesforce platform, a cloud-based customer relationship management (CRM) platform. Why Migrate Data from Legacy Systems to Salesforce? Ensure a smooth transition by considering schema differences.

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Astera

OCTOBER 26, 2023

But why can’t we use raw data instead of spending so much time on data cleansing? Outliers and Errors: Unusual or erroneous entries can lead to inaccurate analysis. Null or Missing Values: Incomplete data may lead to gaps in analysis and can lead to inaccurate and/or limited insights. million annually for businesses.

Data Quality 52

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Bridging the Gap

NOVEMBER 17, 2023

A FRAMEWORK that guides you step-by-step what to when. The Analysis Techniques are the models and templates we use as business analysts to analyze and think through the requirements. This is why knowing the right Communication Techniques to use as a business analyst are equally important.

Business Analysis 52

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Tableau

OCTOBER 8, 2021

It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. Data is stuck in siloes, infrastructure can’t scale to meet growing data needs, and analytics is still too hard for most people to use. However, most organizations struggle to become data driven.

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Astera

JULY 18, 2023

Transforming data to fit it into certain formats Integrating data from disparate sources Data wrangling is the backbone of data science and analysis because it resolves errors, inconsistencies, and missing values in raw data. It also reduces biases and improves analysis accuracy, enabling discovery of hidden patterns and relationships.

Data Quality 52

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Business Analyst Learnings

JANUARY 23, 2024

Fundamentally, we do our best not only to understand information but also to think of how we can use that information to lead transformation, efficiency, and improvement. In this article, we’re looking at some of the most sought-after competencies vital in navigating the intricate world of business analysis.

Project Management 52

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Astera

JANUARY 25, 2024

Reverse ETL, used with other data integration tools , like MDM (Master Data Management) and CDC (Change Data Capture), empowers employees to access data easily and fosters the development of data literacy skills, which enhances a data-driven culture. Distributes processed data from the data warehouse to operational systems for action.

E-Commerce 52

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Astera

FEBRUARY 7, 2024

In a zero-ETL architecture, data integration take place in real-time or near-real-time, minimizing the latency between data generation and its availability for analysis. Organizations use real-time data integration technologies to facilitate the continuous flow of data from source systems to destination repositories.

Real-time Data 52

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Tableau

OCTOBER 8, 2021

It's more important than ever in this all digital, work from anywhere world for organizations to use data to make informed decisions. Data is stuck in siloes, infrastructure can’t scale to meet growing data needs, and analytics is still too hard for most people to use. However, most organizations struggle to become data driven.

Government 98

Government Digital Transformation Healthcare Retail 98

Astera

APRIL 27, 2023

On the other hand, data warehouses are better for the organized archiving of structured data for analysis purposes. On the other hand, data warehouses are better for the organized archiving of structured data for analysis purposes. This repository’s data type has already been processed for a specific use case.

Data Warehouse 52

Data Warehouse Cloud Computing Data Management Data Governance 52

Data Pine

MARCH 31, 2022

1) Why Shift To A BI Career? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Why Shift To A Business Intelligence Career? Table of Contents. 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started? 4) Business Intelligence Job Roles.

Business Intelligence 95

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Sisense

JULY 8, 2020

As of 2019, according to Bissfully’s 2020 SaaS trends report , smaller companies (0-50 employees) use an average of 102 SaaS applications, while mid-sized ones (101-250 employees) use about 137 SaaS applications. Enterprises, meanwhile, can have as many as 288 SaaS applications in use across the entire organization!

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Astera

NOVEMBER 16, 2022

Why are Businesses increasingly opting for Hybrid Cloud Integration? Hybrid cloud integration has paved the way for businesses to enjoy the best of on-premise and cloud systems. By integrating on-premises data systems with cloud environments, companies can take advantage of the cloud without completely decommissioning their legacy systems.

Data Architecture 52

Data Architecture Data Quality Data Warehouse Data Governance 52

Bridging the Gap

JUNE 8, 2023

In this video, we are going to look at business analysis roles in business intelligence and analytics, including the key skills that you will need for success and how it differs from a more traditional business analyst role. In particular, there are two primary ways that the business analyst job title is used.

Business Intelligence 52

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Astera

DECEMBER 21, 2022

The data needs to be converted into machine-readable formats for analysis. Understanding data extraction and why it is significant for organizations to extract insights from data? On the other hand, data mining is a process used to look for patterns, anomalies, and correlations in their data. Read on to find out.

Data Mining 52

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Actian

SEPTEMBER 17, 2019

Why a modern time-series capable database can simplify yet enhance time-series data analysis. Use of OT data and those that must use it has changed much during the past few years. Why, because they built them from the ground up directly or by proxy through vendors of manufacturing or other specialized equipment.

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Astera

OCTOBER 25, 2023

Raw data is unusable in its original form, so you must transform it to use it. Raw data is unusable in its original form, so you must transform it to use it. Most ETL tools also provide predefined functions that you can use to change your data quickly and efficiently. The solution is data transformation.

Data Quality 52

Data Quality Supply Chain Healthcare Planning 52

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. A data’s “structure” refers to a particular way of organizing and storing it in a database or warehouse so that it can be accessed and analyzed. However, both types of data play an important role in data analysis. Structured data.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Astera

JANUARY 31, 2024

Businesses need to integrate data before they can use it to inform their strategic decisions. A common example is using SQL ETL tools to combine data into a Microsoft SQL Server database. A common example is using SQL ETL tools to combine data into a Microsoft SQL Server database.

Data Warehouse 52

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Astera

MARCH 11, 2024

It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. These sources can range from traditional databases to SaaS platforms and even unstructured data.

Data Warehouse 52

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Astera

JUNE 1, 2023

As a Python developer, you may find yourself needing to integrate with a SQL database at some point. SQL Server is a popular relational database management system used by many companies, so Python to SQL Server integration is a useful skill to have. What is Python and SQL Server?

Monitoring 52

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Astera

JUNE 1, 2023

As a Python developer, you may find yourself needing to integrate with a SQL database at some point. SQL Server is a popular relational database management system used by many companies, so Python to SQL Server integration is a useful skill to have. What is Python and SQL Server?

Monitoring 52

Monitoring Documentation Data Modelling Visualization 52

BA Squared

DECEMBER 7, 2020

When I coach agile teams, I often see user stories organized by technology component instead of user value. When a user makes an online purchase, they do not see separate applications. When user stories or story sets describe a list of team tasks, they lose their power. Struggling project? Maybe it’s your user stories!

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Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. Free Download What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. Among the key players in this domain is Microsoft, with its extensive line of products and services, including SQL Server data warehouse. Free Download What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

FEBRUARY 1, 2024

Data models help us understand and utilize data within any system. This process encompasses the analysis and definition of the diverse types of data that a business gathers and generates, focusing on their intricate relationships, groupings, and organizational structure. What is a Data Model? What is Data Modeling ?

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Business Analysis Knowledge Share

OCTOBER 24, 2023

Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Load : Transformed data is loaded into the data warehouse for analysis.

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Astera

MARCH 7, 2024

ETL testing is a set of procedures used to evaluate and validate the data integration process in a data warehouse environment. However, automation must be supplemented with additional validation measures — and this is where ETL testing is useful for the following reasons : It mitigates errors left undetected by automation.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Modelling 52

BizAcuity

SEPTEMBER 16, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Visualization 174

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BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Visualization 154

Visualization Data Visualization Business Intelligence Business Intelligence 154

Data Pine

APRIL 28, 2023

Data that, if used correctly, can fuel businesses to high levels of success. Data that, if used correctly, can fuel businesses to high levels of success. When we talk about correctly using data we mean understanding its properties, types, and conditions in which it should be used.

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