Data Science Dojo

SEPTEMBER 11, 2024

These experiences facilitate professionals from ingesting data from different sources into a unified environment and pipelining the ingestion, transformation, and processing of data to developing predictive models and analyzing the data by visualization in interactive BI reports. In the menu bar on the left, select Workspaces.

Power BI 306

Power BI Data Pipeline Data Warehouse Data Engineering 306

Data Science Dojo

FEBRUARY 13, 2025

Data Security & Ethics Understand the challenges of AI governance, ethical AI, and data privacy compliance in an evolving regulatory landscape. Hence, for anyone working in data science, AI, or business intelligence, Big Data & AI World 2025 is an essential event.

AI 250

AI AI Big Data Big Data 250

Analytics Vidhya

FEBRUARY 27, 2023

Introduction Enterprises here and now catalyze vast quantities of data, which can be a high-end source of business intelligence and insight when used appropriately. Delta Lake allows businesses to access and break new data down in real time.

Data Lakes 315

Data Lakes Business Intelligence Business Intelligence Analytics 315

Flipboard

APRIL 11, 2025

Naveen Edapurath Vijayan is a Sr Manager of Data Engineering at AWS, specializing in data analytics and large-scale data systems. Artificial intelligence (AI) is transforming the way businesses analyze data, shifting from traditional business intelligence (BI) dashboards to real-time, automated

Analytics 82

Analytics Analytics Artificial Intelligence Business Intelligence 82

Pickl AI

AUGUST 1, 2023

Aspiring and experienced Data Engineers alike can benefit from a curated list of books covering essential concepts and practical techniques. These 10 Best Data Engineering Books for beginners encompass a range of topics, from foundational principles to advanced data processing methods. What is Data Engineering?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 6, 2024

Data engineering has become an integral part of the modern tech landscape, driving advancements and efficiencies across industries. So let’s explore the world of open-source tools for data engineers, shedding light on how these resources are shaping the future of data handling, processing, and visualization.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

ODSC - Open Data Science

JANUARY 30, 2024

Data engineering is a hot topic in the AI industry right now. And as data’s complexity and volume grow, its importance across industries will only become more noticeable. But what exactly do data engineers do? So let’s do a quick overview of the job of data engineer, and maybe you might find a new interest.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

The Data Administration Newsletter

AUGUST 7, 2024

I have been in data (in the fuzziest sense of the word) since about 2009, whether that means data engineering, management, analysis, strategy, or visualization. In my first “real” data position, I was asked to identify and organize fallout from a claim auto adjudication engine to identify ways to […]

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

IBM Journey to AI blog

JUNE 8, 2023

Data is the lifeblood of successful organizations. Beyond the traditional data roles—data engineers, analysts, architects—decision-makers across an organization need flexible, self-service access to data-driven insights accelerated by artificial intelligence (AI).

Business Intelligence 78

Business Intelligence Business Intelligence AI AI 78

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 Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Dataconomy

JUNE 9, 2022

The data architect job description has become one of the most sought-after jobs on the internet. Data-related jobs are on the rise in today’s data-driven world. We have already explained cloud computing job requirements and business intelligence analyst skills in these articles.

Cloud Computing 209

Cloud Computing Business Intelligence Business Intelligence Data Science 209

Smart Data Collective

JUNE 10, 2022

You would need to have the skills to analyze large amounts of complex data and find patterns that would benefit the business or organization you work for. Data Engineer. In this role, you would perform batch processing or real-time processing on data that has been collected and stored.

Data Science 144

Data Science Data Scientist Machine Learning Machine Learning 144

Alation

JANUARY 26, 2023

Governance can — and should — be the responsibility of every data user, though how that’s achieved will depend on the role within the organization. This article will focus on how data engineers can improve their approach to data governance. Without proper quality control, data inaccuracies are more likely to occur.

Data Governance 52

Data Governance Data Engineer Data Engineering Data Engineering 52

Data Science Dojo

AUGUST 15, 2023

If you want to get started with Data Science as a career, get yourself enrolled in Data Science Dojo’s Data Science Bootcamp.

Data Scientist 195

Data Scientist Data Science Industrial Data Scientist Data Analyst 195

AWS Machine Learning Blog

APRIL 3, 2025

Embracing generative AI with Amazon Bedrock The company has identified several use cases where generative AI can significantly impact operations, particularly in analytics and business intelligence (BI). This tool democratizes data access across the organization, enabling even nontechnical users to gain valuable insights.

AWS 74

AWS Data Governance Data Silos SQL 74

AWS Machine Learning Blog

OCTOBER 24, 2024

Conventional ML development cycles take weeks to many months and requires sparse data science understanding and ML development skills. Business analysts’ ideas to use ML models often sit in prolonged backlogs because of data engineering and data science team’s bandwidth and data preparation activities.

Data Warehouse 109

Data Warehouse Machine Learning Machine Learning Cloud Data 109

IBM Journey to AI blog

OCTOBER 2, 2024

Business intelligence (BI) users often struggle to access the high-quality, relevant data necessary to inform strategic decision making. Inconsistent data quality: The uncertainty surrounding the accuracy, consistency and reliability of data pulled from various sources can lead to risks in analysis and reporting.

Business Intelligence 58

Business Intelligence Business Intelligence Power BI Data Quality 58

Data Science Dojo

MAY 18, 2023

Distributed System Design for Data Engineering: This talk will provide an overview of distributed system design principles and their applications in data engineering. Then you’re probably already familiar with SQL, Python, and R for data analysis and machine learning.

Data Science 195

Data Science AI AI SQL 195

SAS Software

JULY 8, 2024

SAS Decision Builder is a decision intelligence solution, which means that it uses machine learning and automation to augment human decision-making for better and faster insights that drive tactical and strategic business decisions.

Business Intelligence 64

Business Intelligence Business Intelligence Machine Learning Machine Learning 64

Data Science Blog

JUNE 21, 2023

By utilizing these services, organizations can store large volumes of event data without incurring substantial expenses. Moreover, when big data engineering technics, consider profound process mining logics the storage cost cut down can be tremendous.

Big Data 130

Big Data Big Data Data Engineer Data Engineering 130

Dataversity

SEPTEMBER 28, 2022

Data engineering is a fascinating and fulfilling career – you are at the helm of every business operation that requires data, and as long as users generate data, businesses will always need data engineers. The journey to becoming a successful data engineer […].

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

IBM Journey to AI blog

OCTOBER 14, 2024

. “ Gen AI has elevated the importance of unstructured data, namely documents, for RAG as well as LLM fine-tuning and traditional analytics for machine learning, business intelligence and data engineering,” says Edward Calvesbert, Vice President of Product Management at IBM watsonx and one of IBM’s resident data experts.

AI 78

AI AI Database Data Engineering 78

Dataconomy

JANUARY 12, 2023

Business intelligence consultants have become an essential part of today’s data-focused way of doing business. With the massive growth of data, organizations are looking for ways to extract insights and make data-driven decisions.

Business Intelligence 103

Business Intelligence Business Intelligence Data Engineer Data Engineering 103

Dataconomy

JULY 24, 2023

Look for internships in roles like data analyst, business intelligence analyst, statistician, or data engineer. Phase 6: Embarking on a data science career After your internship, you may have the opportunity to continue with the same company or start seeking entry-level positions elsewhere.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

IBM Journey to AI blog

OCTOBER 22, 2024

Data must be combined and harmonized from multiple sources into a unified, coherent format before being used with AI models. 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 Silos 102

Data Silos Data Pipeline DataOps Business Intelligence 102

AWS Machine Learning Blog

AUGUST 12, 2024

Data is presented to the personas that need access using a unified interface. For example, it can be used to answer questions such as “If patients have a propensity to have their wearables turned off and there is no clinical telemetry data available, can the likelihood that they are hospitalized still be accurately predicted?”

ML 116

ML ML AWS AI 116

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.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

Analytics Vidhya

OCTOBER 6, 2023

In today’s rapidly evolving digital landscape, seamless data, applications, and device integration are more pressing than ever. Enter Microsoft Fabric, a cutting-edge solution designed to revolutionize how we interact with technology.

Analytics 343

Analytics Analytics Power BI Data Lakes 343

Analytics Vidhya

OCTOBER 31, 2023

Introduction Have you ever wondered what the future holds for data science careers? Data science has become the topmost emerging field in the world of technology. There is an increased demand for skilled data enthusiasts in the field of data science. Yes, you are guessing it right– endless opportunities.

Data Science 326

Data Science Analytics Analytics Database Administration 326

IBM Journey to AI blog

APRIL 25, 2023

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. Similarly, the relational database has been the foundation for data warehousing for as long as data warehousing has been around.

Data Warehouse 58

Data Warehouse Data Engineer Data Engineering Data Engineering 58

Analytics Vidhya

FEBRUARY 15, 2023

Introduction BigQuery is a robust data warehousing and analytics solution that allows businesses to store and query large amounts of data in real time. Its importance lies in its ability to handle big data and provide insights that can inform business decisions.

Big Data 289

Big Data Big Data Analytics Analytics 289

AWS Machine Learning Blog

AUGUST 8, 2024

RAG optimizes language model outputs by extending the models’ capabilities to specific domains or an organization’s internal data for tailored responses. This post highlights how Twilio enabled natural language-driven data exploration of business intelligence (BI) data with RAG and Amazon Bedrock.

SQL 120

SQL Data Lakes Data Analyst AWS 120

Analytics Vidhya

OCTOBER 4, 2022

Introduction From the past two decades machine learning, Artificial intelligence and Data Science have completely revolutionized the traditional technologies.

Artificial Intelligence 268

Artificial Intelligence Artificial Intelligence Machine Learning Machine Learning 268

Smart Data Collective

AUGUST 10, 2021

If you answered yes, Big Data Analytics is the answer to all of your questions since they have extensive experience with big data technologies and procedures. They assist you in making sound business choices that will help you develop your company faster. What exactly is Big Data, but why is it so important?

Analytics 137

Analytics Analytics Big Data Big Data 137

Analytics Vidhya

FEBRUARY 20, 2023

Introduction Machine Learning is a fast-growing field, and its applications have become ubiquitous in our day-to-day lives. As the demand for ML models increases, so makes the demand for user-friendly interfaces to interact with these models.

Python 250

Python Machine Learning Machine Learning ML 250