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? How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Towards AI

JANUARY 27, 2023

In the increasingly competitive world, understanding the data and taking quicker actions based on that help create differentiation for the organization to stay ahead! It is used to discover trends [2], patterns, relationships, and anomalies in data, and can help inform the development of more complex models [3].

Exploratory Data Analysis 98

Exploratory Data Analysis Data Analysis Data Analysis EDA 98

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Data Science Dojo

MAY 18, 2023

In case you were unable to attend the Future of Data and AI conference, we’ve compiled a list of all the tutorials and panel discussions for you to peruse and discover the innovative advancements presented at the Future of Data & AI conference. Getting Started with SQL Programming: Are you starting your journey in data science?

Data Science 195

Data Science AI AI SQL 195

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. This framework includes components like data sources, integration, storage, analysis, visualization, and information delivery. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

Pickl AI

JANUARY 25, 2023

The easiest skill that a Data Science aspirant might develop is SQL. Management and storage of Data in businesses require the use of a Database Management System. Additionally, you would find suggestions for different SQL certification courses to learn the programming language. What is SQL?

SQL 52

SQL Data Science Database Data Analysis 52

ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Pickl AI

NOVEMBER 18, 2024

Critical thinking, attention to detail, and a solid understanding of business concepts further enhance their impact. Tools and Techniques Commonly Used Data Analysts rely on various tools to streamline their work. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently.

Data Analyst 110

Data Analyst SQL Python AWS 110

phData

JULY 10, 2024

Sigma Computing , a cloud-based analytics platform, helps data analysts and business professionals maximize their data with collaborative and scalable analytics. One of Sigma’s key features is its support for custom SQL queries and CSV file uploads. What is Sigma Computing, and Why Does it Matter?

SQL 52

SQL Data Warehouse Analytics Analytics 52

Data Science Dojo

SEPTEMBER 11, 2024

In the sales context, this helps monitor sales data in Power BI reports and trigger alerts or actions based on real-time changes, ensuring that sales teams can respond quickly to critical events. This enables a deep analysis of sales data, helping to identify what drives demand and what affects sales performance.

Power BI 233

Power BI Data Pipeline Data Warehouse Data Engineering 233

Pickl AI

NOVEMBER 5, 2024

Introduction Business Intelligence (BI) tools are crucial in today’s data-driven decision-making landscape. They empower organisations to unlock valuable insights from complex data. Tableau and Power BI are leading BI tools that help businesses visualise and interpret data effectively. billion in 2023.

Power BI 52

Power BI Tableau Business Intelligence Business Intelligence 52

Data Science Dojo

SEPTEMBER 5, 2024

Data science involves the use of scientific methods, processes, algorithms, and systems to analyze and interpret data. It integrates aspects from multiple disciplines, including: Statistics : For data analysis and interpretation. Business Acumen : To translate data insights into actionable business strategies.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Data science involves the use of scientific methods, processes, algorithms, and systems to analyze and interpret data. It integrates aspects from multiple disciplines, including: Statistics : For data analysis and interpretation. Business Acumen : To translate data insights into actionable business strategies.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Pickl AI

NOVEMBER 5, 2024

It allows developers to easily connect to databases, execute SQL queries, and retrieve data. It operates as an intermediary, translating Java calls into SQL commands the database understands. For instance, reporting and analytics tools commonly use it to pull data from various database systems.

Database 52

Database SQL Python Database Administration 52

Data Science Dojo

JANUARY 12, 2023

Analytics Data lakes give various positions in your company, such as data scientists, data developers, and business analysts, access to data using the analytical tools and frameworks of their choice. You can perform analytics with Data Lakes without moving your data to a different analytics system. 4.

Data Lakes 221

Data Lakes Data Warehouse Hadoop Machine Learning 221

Smart Data Collective

OCTOBER 14, 2019

Users only need to include the respective path in the SQL query to get to work. In addition to supporting standard SQL, Apache Drill lets you keep depending on business intelligence tools you may already use, such as Qlik and Tableau. It allows secure and interactive SQL analytics at the petabyte scale.

Data Science 94

Data Science SQL Big Data Big Data 94

AWS Machine Learning Blog

DECEMBER 29, 2022

Many of the RStudio on SageMaker users are also users of Amazon Redshift , a fully managed, petabyte-scale, massively parallel data warehouse for data storage and analytical workloads. It makes it fast, simple, and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.

AWS 130

AWS Machine Learning Machine Learning Clustering 130

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

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Smart Data Collective

APRIL 29, 2020

Redshift is the product for data warehousing, and Athena provides SQL data analytics. AWS Glue helps users to build data catalogues, and Quicksight provides data visualisation and dashboard construction. The services from AWS can be catered to meet the needs of each business user.

Data Warehouse 99

Data Warehouse SQL Azure ETL 99

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. If it’s not done right away, then later.

Database 130

Database Data Visualization Big Data Big Data 130

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. billion to USD 54.27 What is Power BI?

Power BI 52

Power BI Tableau Data Analysis Data Analysis 52

Pickl AI

MARCH 31, 2023

Here is a look at the various data job profiles along with the salary: Junior Data Analyst: $53-58K Data Analyst: $75K Data Analytics Consultant: $77K Senior Data Analyst: $97K Data Analytics Manager: $89K Wider Application – Presently, Data Analysis finds applications across the industry spectrum.

Analytics 52

Analytics Analytics Data Analyst Data Analysis 52

Dataconomy

APRIL 27, 2023

They are also designed to handle concurrent access by multiple users and applications, while ensuring data integrity and transactional consistency. Examples of OLTP databases include Oracle Database, Microsoft SQL Server, and MySQL. OLAP systems support business intelligence, data mining, and other decision support applications.

Database 159

Database Data Scientist Data Mining Data Mining 159

ODSC - Open Data Science

FEBRUARY 13, 2025

Attendees left with a clear understanding of how AI can enhance data analysis workflows and improve decision-making in business intelligence applications. The session highlighted best practices in designing AI agents for analytics, including model selection, query optimization, and ensuring interpretability.

AI 52

AI AI Data Analyst Database 52

ODSC - Open Data Science

FEBRUARY 8, 2023

BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. Then, an analyst prepares them for reporting (via data visualization tools like Google Data Studio). The BigQuery tool was designed to be the centerpiece of data analysis.

Database 97

Database Big Data Data Science Big Data 97

Pickl AI

JULY 18, 2023

SQL: Mastering Data Manipulation Structured Query Language (SQL) is a language designed specifically for managing and manipulating databases. While it may not be a traditional programming language, SQL plays a crucial role in Data Science by enabling efficient querying and extraction of data from databases.

Data Science 52

Data Science SQL Data Scientist Python 52

Pickl AI

FEBRUARY 18, 2025

Supports diverse data sources: Excel, SQL Server, Azure, and more. Customisable dashboards and reports enhance data presentation. The increasing need for businesses to make data-driven decisions has led to the rise of Business Intelligence (BI) tools like Power BI. Why Power BI?

Power BI 52

Power BI Azure Business Intelligence SQL 52

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.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

IBM Journey to AI blog

OCTOBER 17, 2023

They are being increasingly challenged to improve efficiency and cost savings, embrace automation, and engage in data-driven decision making that helps their organization stand out from the competition. Streams of business events provide users with a persistent, continuously updated record of their data, as it is being generated.

Data Analyst 94

Data Analyst Data Visualization Business Intelligence SQL 94

Women in Big Data

NOVEMBER 27, 2024

By maintaining historical data from disparate locations, a data warehouse creates a foundation for trend analysis and strategic decision-making. How to Choose a Data Warehouse for Your Big Data Choosing a data warehouse for big data storage necessitates a thorough assessment of your unique requirements.

Data Warehouse 59

Data Warehouse Big Data Big Data Azure 59

Pickl AI

OCTOBER 16, 2024

Summary: Relational Database Management Systems (RDBMS) are the backbone of structured data management, organising information in tables and ensuring data integrity. This article explores RDBMS’s features, advantages, applications across industries, the role of SQL, and emerging trends shaping the future of data management.

Database 52

Database SQL Big Data Big Data 52

Pickl AI

SEPTEMBER 5, 2024

This role involves a combination of Data Analysis, project management, and communication skills, as Operations Analysts work closely with various departments to implement changes that align with organisational objectives. Operations Analysts often use Data Analysis software (e.g.,

Data Analysis 52

Data Analysis Data Analysis Data Quality Analytics 52

Alation

SEPTEMBER 23, 2021

What Is a Data Catalog? A data catalog is a centralized storage bank of metadata on information sources from across the enterprise, such as: Datasets. Business intelligence reports. The data catalog also stores metadata (data about data, like a conversation), which gives users context on how to use each asset.

Data Preparation 52

Data Preparation SQL Data Governance Data Analysis 52

Pickl AI

NOVEMBER 15, 2023

On the other hand, a Data Warehouse is a structured storage system designed for efficient querying and analysis. It involves the extraction, transformation, and loading (ETL) process to organize data for business intelligence purposes. It often serves as a source for Data Warehouses.

Data Lakes 52

Data Lakes Data Warehouse Database ETL 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

JANUARY 16, 2024

Summary: The blog delves into the 2024 Data Analyst career landscape, focusing on critical skills like Data Visualisation and statistical analysis. It identifies emerging roles, such as AI Ethicist and Healthcare Data Analyst, reflecting the diverse applications of Data Analysis.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Analytics 52

ODSC - Open Data Science

JUNE 12, 2023

They all agree that a Datamart is a subject-oriented subset of a data warehouse focusing on a particular business unit, department, subject area, or business functionality. The Datamart’s data is usually stored in databases containing a moving frame required for data analysis, not the full history of data.

Power BI 52

Power BI Data Warehouse ETL Data Preparation 52