ODSC - Open Data Science

APRIL 6, 2023

Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

SQL 98

SQL Data Scientist Database Data Science 98

Data Science Dojo

JULY 6, 2023

It allows data engineers to build, test, and maintain data pipelines in a version-controlled manner. dbt focuses on transforming raw data into analytics-ready tables using SQL-based transformations. It supports collaborative analytics and integrates with various data platforms.

Data Engineer 195

Data Engineer Data Engineering Data Engineering Data Engineering 195

Smart Data Collective

APRIL 14, 2021

This is one of the most developed business intelligence tools in the market that comes packed with high-end data analytics and visualization features. This high-end data visualization makes data exploration more accessible to end-users. With this tool, analysts are able to visualize complex data models in Python, SQL, and R.

Business Intelligence 138

Business Intelligence Business Intelligence Tableau SQL 138

Data Science Dojo

APRIL 18, 2023

Data visualization is the process of presenting data in a visual format such as charts, graphs, or maps. Data analysts need to be able to effectively communicate their findings through visual representations of data. Programming Programming is a crucial skill for data analysts.

Data Analyst 195

Data Analyst Data Visualization Data Analysis Data Analysis 195

Tableau

APRIL 3, 2023

Madeleine Corneli Senior Manager, Product Management, Tableau Adiascar Cisneros Manager, Product Management, Tableau Bronwen Boyd April 3, 2023 - 5:27pm April 3, 2023 Google Cloud’s BigQuery is a serverless, highly-scalable cloud-based data warehouse solution that allows users to store, query, and analyze large datasets quickly.

Tableau 52

Tableau SQL Data Warehouse Database 52

Pickl AI

JUNE 12, 2023

Tableau is a data visualisation software helping you to generate graphics-rich reporting and analysing enormous volumes of data. With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. Let’s read the blog to find out!

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

Pickl AI

APRIL 10, 2023

Data Analysis is one of the most crucial tasks for business organisations today. SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

phData

MAY 25, 2023

The June 2021 release of Power BI Desktop introduced Custom SQL queries to Snowflake in DirectQuery mode. In 2021, Microsoft enabled Custom SQL queries to be run to Snowflake in DirectQuery mode further enhancing the connection capabilities between the platforms.

Power BI 84

Power BI Analytics Analytics Azure 84

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

NOVEMBER 18, 2024

Summary: Power BI alternatives like Tableau, Qlik Sense, and Zoho Analytics provide businesses with tailored Data Analysis and Visualisation solutions. Selecting the right alternative ensures efficient data-driven decision-making and aligns with your organisation’s goals and budget.

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Data Visualization: Matplotlib, Seaborn, Tableau, etc.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

JANUARY 9, 2025

Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making. Expertise in tools like Power BI, SQL, and Python is crucial. Expertise in programs like Microsoft Excel, SQL , and business intelligence (BI) tools like Power BI or Tableau allows analysts to process and visualise data efficiently.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

Some of the common career opportunities in BI include: Entry-level roles Data analyst:  A data analyst is responsible for collecting and analyzing data, creating reports, and presenting insights to stakeholders. They may also be involved in data modeling and database design.

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

AUGUST 9, 2024

Hierarchies align data modelling with business processes, making it easier to analyse data in a context that reflects real-world operations. Designing Hierarchies Designing effective hierarchies requires careful consideration of the business requirements and the data model.

Data Warehouse 52

Data Warehouse Data Quality ETL Business Intelligence 52

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Machine Learning Engineer Machine learning engineers will use data much differently than business analysts or data analysts.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

JANUARY 28, 2025

They are useful for big data analytics where flexibility is needed. Data Modeling Data modeling involves creating logical structures that define how data elements relate to each other. This includes: Dimensional Modeling : Organizes data into dimensions (e.g., time, product) and facts (e.g.,

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Mlearning.ai

FEBRUARY 16, 2023

Data warehousing is a vital constituent of any business intelligence operation. Companies can build Snowflake databases expeditiously and use them for ad-hoc analysis by making SQL queries. Further, Snowflake enables easy integrations with numerous business intelligence tools, including PowerBI, Looker, and Tableau.

Data Warehouse 52

Data Warehouse Business Intelligence Business Intelligence Database 52

Alation

FEBRUARY 13, 2020

It’s easy for our minds to immediately think of BI tools, especially with the recent flurry of M&A activity: Salesforce’s acquisition of Tableau and Google’s acquisition of Looker. A key finding of the survey is that the ability to find data contributes greatly to the success of BI initiatives.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

Alation

SEPTEMBER 7, 2021

Organizations need to ensure that data use adheres to policies (both organizational and regulatory). In an ideal world, you’d get compliance guidance before and as you use the data. Imagine writing a SQL query or using a BI dashboard with flags & warnings on compliance best practice within your natural workflow. In Summary.

Data Governance 59

Data Governance Data Scientist Data Quality Data Profiling 59

DataSeries

AUGUST 15, 2024

Knowledge of Core Data Engineering Concepts Ensure one possess a strong foundation in core data engineering concepts, which include data structures, algorithms, database management systems, data modeling , data warehousing , ETL (Extract, Transform, Load) processes, and distributed computing frameworks (e.g.,

Data Engineer 40

Data Engineer Data Engineering Data Engineering Data Engineering 40

Pickl AI

AUGUST 11, 2024

These tools enable effective data structuring, transformation, and analysis, supporting best practices for dimensional modelling and ensuring high-quality, consistent business metrics. These tools are essential for populating fact tables with accurate and timely data.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Pickl AI

DECEMBER 4, 2023

Profession Description Average per year salary in India Skills required How to gain the skills Data Analyst Responsibilities include collecting, processing, and analysing data to help organisations make informed decisions. 6,20000 Analytical skills, proficiency in Data Analysis tools (e.g., 12,00000 Programming (e.g.,

Data Analysis 52

Data Analysis Data Analysis Artificial Intelligence Artificial Intelligence 52

Tableau

DECEMBER 1, 2021

Technical Fellow, Tableau. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Jock Mackinlay. Bronwen Boyd.

Tableau 145

Tableau ML ML Database 145

Tableau

DECEMBER 1, 2021

Technical Fellow, Tableau. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. I am proud to announce that my History of Tableau Innovation viz is now published to Tableau Public. Jock Mackinlay. Bronwen Boyd.

Tableau 98

Tableau ML ML Database 98

Tableau

APRIL 12, 2022

Product Marketing Associate, Tableau. Tableau 2022.1 introduces a wide range of capabilities designed to improve every stage of data analysis—from data preparation to dashboard consumption. This allows you to access the combined wisdom of Tableau’s robust community without ever having to leave the platform.

Tableau 98

Tableau Data Preparation Data Modeling Data Models 98

Tableau

APRIL 12, 2022

Product Marketing Associate, Tableau. Tableau 2022.1 introduces a wide range of capabilities designed to improve every stage of data analysis—from data preparation to dashboard consumption. This allows you to access the combined wisdom of Tableau’s robust community without ever having to leave the platform.

Tableau 98

Tableau Data Preparation Data Modeling Data Models 98

Women in Big Data

DECEMBER 9, 2024

Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making. Lookers strength lies in its ability to connect to a wide variety of data sources.

Big Data 52

Big Data Big Data Power BI Tableau 52

phData

NOVEMBER 13, 2023

Streamlined Metric Creation and Management: With MetricFlow, you can easily establish and oversee company metrics through flexible abstractions and SQL query generation. Efficient Data Retrieval: Quick access to metric datasets from your data platform is made possible by MetricFlow’s optimized processes.

Database 52

Database Business Intelligence Business Intelligence Data Silos 52

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52