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

Data Science Blog

JUNE 30, 2023

For DATANOMIQ this is a show-case of the coming Data as a Service ( DaaS ) Business. The post Monitoring of Jobskills with Data Engineering & AI appeared first on Data Science Blog. Over the time, it will provides you the answer on your questions related to which tool to learn!

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

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. Thats where data engineering tools come in!

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

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 145

Analytics Analytics Business Intelligence Business Intelligence 145

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 337

Power BI Data Pipeline Data Warehouse Data Engineering 337

databricks

JUNE 4, 2025

160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2025.

AWS 130

AWS AI AI Data Science 130

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

Dataconomy

JUNE 10, 2025

Applications of data analytics Data analytics finds applications across various fields, driving innovation and efficiency. Business intelligence and reporting Through dashboards and reports, data analytics provides actionable insights into performance metrics, allowing for better decision-making.

Analytics 91

Analytics Analytics Big Data Analytics Big Data Analytics 91

ODSC - Open Data Science

MARCH 19, 2025

As AI and data engineering continue to evolve at an unprecedented pace, the challenge isnt just building advanced modelsits integrating them efficiently, securely, and at scale. Join Veronika Durgin as she uncovers the most overlooked data engineering pitfalls and why deferring them can be a costly mistake.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

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

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

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

Flipboard

MAY 14, 2025

Their information is split between two types of data: unstructured data (such as PDFs, HTML pages, and documents) and structured data (such as databases, data lakes, and real-time reports). Different types of data typically require different tools to access them. QuickSight also offers querying unstructured data.

AWS 143

AWS AI AI Database 143

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

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 Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

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

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 Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 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 Engineering 52

Data Engineering Data Engineer 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 Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

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 117

Data Warehouse Machine Learning Machine Learning Cloud Data 117

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 Engineering 52

Data Engineering 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

How to Learn Machine Learning

APRIL 26, 2025

The field of data science is now one of the most preferred and lucrative career options available in the area of data because of the increasing dependence on data for decision-making in businesses, which makes the demand for data science hires peak. Their insights must be in line with real-world goals.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Dataconomy

MARCH 19, 2025

Key disciplines involved in data science Understanding the core disciplines within data science provides a comprehensive perspective on the field’s multifaceted nature. Overview of core disciplines Data science encompasses several key disciplines including data engineering, data preparation, and predictive analytics.

Data Science 91

Data Science Citizen Data Scientist Data Scientist Machine Learning 91

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

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 87

AWS Data Governance Data Silos SQL 87

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 Engineering Data Engineering 103

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 Engineering Data Engineer Data Engineering 52

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

AWS Machine Learning Blog

JUNE 3, 2025

Taras specializes in AI-driven solutions and data engineering, leveraging technologies like machine learning and generative AI using Amazon SageMaker AI, Amazon Bedrock, Amazon OpenSearch Service, and more. Taras is an AWS Certified ML Engineer Associate.

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ODSC - Open Data Science

APRIL 25, 2025

EvolvabilityIts Mostly About Data Contracts Editors note: Elliott Cordo is a speaker for ODSC East this May 1315! Be sure to check out his talk, Enabling Evolutionary Architecture in Data Engineering , there to learn about data contracts and plentymore.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

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

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

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

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

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

ODSC - Open Data Science

APRIL 16, 2025

Dimensional Modeling (the focus here): A balanced approach tailored for analytics and business intelligence. Its essential to align the model to the use case: normalized models support auditing and operational consistency; denormalized ones enable rapid data consumption. They reflect it.

Data Models 59

Data Models Data Modeling Analytics Analytics 59