Data science
Data science

Data science

A deep dive into how Amex's new Frontier Research Team is using AI and ML to build better modeling solutions - Tearsheet

American Express is harnessing AI and machine learning to enhance credit and risk management strategies.

fromFuturism

4 days ago

Data science

Small Towns Are Rising Up Against AI Data Centers

Rural communities resist data centers due to environmental concerns and lack of local benefits.

fromiRunFar

Data science

From Shakeout to Shakeup: Artificial Intelligence and Trail Running

AI is revolutionizing trail running by enhancing efficiency and task automation in the industry.

LLMs in Data Engineering: Not Just Hype, Here's What's Real | HackerNoon

Large Language Models are transforming data engineering by enhancing performance and operational efficiencies.

Databricks expands AI platform with acquisition of Fennel

Databricks acquires Fennel AI to enhance its data intelligence platform with improved real-time feature engineering capabilities.

fromFast Company

19 hours ago

The real-life risks of predictive policing-and what one city is doing differently

Predictive policing mirrors the ethical dilemmas of the film "Minority Report" regarding preemptive arrests and accountability.

fromTearsheet

Data science

A deep dive into how Amex's new Frontier Research Team is using AI and ML to build better modeling solutions - Tearsheet

American Express is harnessing AI and machine learning to enhance credit and risk management strategies.

fromFuturism

4 days ago

Data science

Small Towns Are Rising Up Against AI Data Centers

Rural communities resist data centers due to environmental concerns and lack of local benefits.

fromiRunFar

more#artificial-intelligence

Data science

From Shakeout to Shakeup: Artificial Intelligence and Trail Running

AI is revolutionizing trail running by enhancing efficiency and task automation in the industry.

Database Revolution Series: A Modern Guide to Data Management

The cloud revolution impacts how applications are designed and deployed, crucially through serverless computing and NewSQL databases.

ServiceNow acquires data.world to make data AI-ready

ServiceNow aims to enhance AI integration by acquiring data.world, a platform that prepares data for AI scalability.

Database Revolution Series: A Modern Guide to Data Management

Time-Series Databases and Vector Databases are essential for managing specialized data types effectively.

fromThe Drum

22 hours ago

Can we talk? How conversational data is rephrasing marketing intelligence

Data democratization is crucial for navigating today's volatile trading climate, yet many marketers struggle to derive actionable insights from overwhelming data.

More consolidation among data tools, as Fivetran acquires Census | MarTech

Fivetran aims to enhance its platform capabilities by acquiring Census, focusing on comprehensive data movement for informed decision-making.

Data science

IBM's watsonx.data could simplify agentic AI-related data issues

IBM's updates to watsonx.data aim to help enterprises effectively manage, analyze, and govern unstructured data for better AI outcomes.

Database Revolution Series: A Modern Guide to Data Management

The cloud revolution impacts how applications are designed and deployed, crucially through serverless computing and NewSQL databases.

ServiceNow acquires data.world to make data AI-ready

ServiceNow aims to enhance AI integration by acquiring data.world, a platform that prepares data for AI scalability.

Database Revolution Series: A Modern Guide to Data Management

Time-Series Databases and Vector Databases are essential for managing specialized data types effectively.

fromThe Drum

22 hours ago

Can we talk? How conversational data is rephrasing marketing intelligence

Data democratization is crucial for navigating today's volatile trading climate, yet many marketers struggle to derive actionable insights from overwhelming data.

More consolidation among data tools, as Fivetran acquires Census | MarTech

Fivetran aims to enhance its platform capabilities by acquiring Census, focusing on comprehensive data movement for informed decision-making.

Data science

IBM's watsonx.data could simplify agentic AI-related data issues

IBM's updates to watsonx.data aim to help enterprises effectively manage, analyze, and govern unstructured data for better AI outcomes.

more#data-management

#climate-change

fromState of the Planet

A New Interactive Tool Models Natural Hazards Fueled by Climate Change

Climate change is worsening the severity and frequency of extreme weather events, necessitating better predictive models for disaster preparedness.

fromArs Technica

12 hours ago

Data science

Trump just made it much harder to track the nation's worst weather disasters

The Trump administration's cuts at NOAA endangers critical climate disaster tracking.

fromHarvard Gazette

Data science

How hot is too hot - Harvard Gazette

Harvard researchers are collaborating with Indian community leaders to collect vital data on extreme heat and its effects on workers' well-being.

fromState of the Planet

A New Interactive Tool Models Natural Hazards Fueled by Climate Change

Climate change is worsening the severity and frequency of extreme weather events, necessitating better predictive models for disaster preparedness.

fromArs Technica

12 hours ago

Data science

Trump just made it much harder to track the nation's worst weather disasters

The Trump administration's cuts at NOAA endangers critical climate disaster tracking.

fromHarvard Gazette

Data science

How hot is too hot - Harvard Gazette

Harvard researchers are collaborating with Indian community leaders to collect vital data on extreme heat and its effects on workers' well-being.

Data science

Halt of data collection that measures American society

The removal of federal datasets hinders the government's ability to accurately assess societal issues.

Data science

Interrogating AI Bias with the Laissez-Faire Prompts Dataset | HackerNoon

The article discusses the creation of a dataset to investigate biases in language models relating to gender, race, and sexual orientation.

Data science

Top eLearning Data Collection Metrics To Track For Better Outcomes

Automated data capture is essential for optimizing eLearning outcomes in Learning Management Systems.

Data science

Halt of data collection that measures American society

The removal of federal datasets hinders the government's ability to accurately assess societal issues.

Data science

Interrogating AI Bias with the Laissez-Faire Prompts Dataset | HackerNoon

The article discusses the creation of a dataset to investigate biases in language models relating to gender, race, and sexual orientation.

Data science

Top eLearning Data Collection Metrics To Track For Better Outcomes

Automated data capture is essential for optimizing eLearning outcomes in Learning Management Systems.

more#data-collection

fromPsychology Today

10 hours ago

Data science

9 Questions to Identify What You're Doing Right

Reflecting on strengths is crucial for personal growth and enhances self-confidence.

fromIT Pro

SAS leans on synthetic data and digital twins to support business data demand

SAS introduces synthetic data capabilities and digital twins to enhance data-driven decision making for enterprises.

#deep-learning

Data science

Decoding Diffusion Models: Core Concepts & PyTorch Code | HackerNoon

Diffusion models generate high-quality data by gradually adding noise and then learning to reverse the process.

7 months ago

Data science

Even AI Needs Glasses: When Space Images Get Too Fuzzy to Fix | HackerNoon

Transformers enhance astronomical image restoration but struggle with high noise levels.

Data science

Decoding Diffusion Models: Core Concepts & PyTorch Code | HackerNoon

Diffusion models generate high-quality data by gradually adding noise and then learning to reverse the process.

7 months ago

Data science

Even AI Needs Glasses: When Space Images Get Too Fuzzy to Fix | HackerNoon

Transformers enhance astronomical image restoration but struggle with high noise levels.

more#deep-learning

7 months ago

Data science

Transformer-Based Restoration: Quantitative Gains and Boundaries in Space Data | HackerNoon

Astronomical image restoration can effectively enhance images from HST quality to JWST quality using a Transformer model.

fromHarvard Gazette

Data science

He studies dogs' faces. She studies their brains. - Harvard Gazette

The bond between humans and dogs is showcased through empathy experiments and photography.

#neo4j

5 months ago

Data science

Scientists Built a Knowledge Graph for Materials-And You Can Actually Use It | HackerNoon

The article discusses a method for representing material relationships using triples in a graph database.

The use of FMKG and Neo4j significantly improves data management and retrieval for material sciences.

fromTheregister

Data science

NASA jettisons Neo4j database for Memgraph citing costs

NASA switched from Neo4j to Memgraph primarily due to cost concerns.

5 months ago

Data science

Scientists Built a Knowledge Graph for Materials-And You Can Actually Use It | HackerNoon

The article discusses a method for representing material relationships using triples in a graph database.

The use of FMKG and Neo4j significantly improves data management and retrieval for material sciences.

fromTheregister

Data science

NASA jettisons Neo4j database for Memgraph citing costs

NASA switched from Neo4j to Memgraph primarily due to cost concerns.

LLM and Generative AI for Sensitive Data - Navigating Security, Responsibility, and Pitfalls in Highly Regulated Industries

AI is significantly transforming various fields, including engineering, law, and healthcare, through innovative applications and responsible practices.

Datadog acquires Metaplane, a data problem-solver

Datadog acquires Metaplane to enhance data observability capabilities with AI-driven insights.

Data science

Fivetran expands into end-to-end data movement platform with Census

Fivetran's acquisition of Census enhances its data integration capabilities and supports real-time data movement between systems.

Data science

Using AI-powered email classification to accelerate help desk responses

AI can automate email triage to improve efficiency and customer satisfaction.

Manual email triage is slow, inconsistent, and error-prone.

fromInfoQ

LLM and Generative AI for Sensitive Data - Navigating Security, Responsibility, and Pitfalls in Highly Regulated Industries

AI is significantly transforming various fields, including engineering, law, and healthcare, through innovative applications and responsible practices.

Datadog acquires Metaplane, a data problem-solver

Datadog acquires Metaplane to enhance data observability capabilities with AI-driven insights.

Data science

Fivetran expands into end-to-end data movement platform with Census

Fivetran's acquisition of Census enhances its data integration capabilities and supports real-time data movement between systems.

Data science

Using AI-powered email classification to accelerate help desk responses

AI can automate email triage to improve efficiency and customer satisfaction.

Manual email triage is slow, inconsistent, and error-prone.

more#ai

fromeLearning

Data science

Excel Tutorial - eLearning

Unlock the power of data visualization in Excel with this hands-on tutorial.

Learn how to insert and format charts in Excel with this quick, step-by-step tutorial.

fromComputerWeekly.com

Data science

Driven by data: The RAF's revamped maritime patrol capabilities | Computer Weekly

RAF's Poseidon MRA1 fleet is integral for tracking Russian submarines and modern warfare relies heavily on data management.

fromThe Atlantic

American Panopticon

The Trump administration's approach to data collection raises concerns about potential surveillance and privacy violations amidst growing centralization of governmental databases.

#generative-ai

Data science

How GenAIs build diverging color schemes

Generative AI can effectively create tailored diverging data color schemes for data visualization based on specific hues like Mocha Mousse.

Data science

Datatonic acquires Syntio and strengthens expertise in data engineering

Datatonic's acquisition of Syntio enhances its data consultancy with increased capabilities in data engineering and expanded service offerings.

Data science

Generative AI and the triad color harmony

DeepSeek effectively utilizes generative AI to propose successful triad color schemes for data visualization, addressing color deficiencies.

Data science

Generative AI and the triad color harmony

DeepSeek effectively leverages color theory to suggest triad color schemes, outperforming other generative AI systems.

Data science

How GenAIs build diverging color schemes

Generative AI can effectively create tailored diverging data color schemes for data visualization based on specific hues like Mocha Mousse.

Data science

Datatonic acquires Syntio and strengthens expertise in data engineering

Datatonic's acquisition of Syntio enhances its data consultancy with increased capabilities in data engineering and expanded service offerings.

Data science

Generative AI and the triad color harmony

DeepSeek effectively utilizes generative AI to propose successful triad color schemes for data visualization, addressing color deficiencies.

Data science

Generative AI and the triad color harmony

DeepSeek effectively leverages color theory to suggest triad color schemes, outperforming other generative AI systems.

more#generative-ai

#data-analysis

Data science

Harnessing Educational Data Mining: A Guide For Instructional Designers

Educational Data Mining enhances instructional design by providing insights from large educational data, improving personalization and decision-making.

Data science

Salesforce bets AI agents can solve business leaders' struggles with data | MarTech

Business leaders face increasing pressure to utilize data effectively, despite declining confidence in data relevance and accuracy.

Data science

Deportation Data Project

The Deportation Data Project improves access and usability of U.S. immigration data.

fromUX Magazine

Data science

The Ultimate Data Visualization Handbook for Designers

Data visualization is crucial for making sense of the vast amounts of data generated daily.

Clarity and simplicity are essential in effective data visualization design.

Choosing the right methods and tools is fundamental in the visualization process.

4 years ago

Data science

Assessing the Accuracy of Predictive Policing Software: Our Method | HackerNoon

Geolitica software predicts crime but disproportionately targets low-income, Black, and Latino neighborhoods.

Data science

Spark Scala Exercise 8: Working with Date-Time in SparkExtract, Transform, and Analyze

Date and time operations are vital for analysis in various sectors, enabling insights into trends and customer behavior.

Harnessing Educational Data Mining: A Guide For Instructional Designers

Educational Data Mining enhances instructional design by providing insights from large educational data, improving personalization and decision-making.

Salesforce bets AI agents can solve business leaders' struggles with data | MarTech

Business leaders face increasing pressure to utilize data effectively, despite declining confidence in data relevance and accuracy.

Deportation Data Project

The Deportation Data Project improves access and usability of U.S. immigration data.

fromUX Magazine

The Ultimate Data Visualization Handbook for Designers

Data visualization is crucial for making sense of the vast amounts of data generated daily.

Clarity and simplicity are essential in effective data visualization design.

Choosing the right methods and tools is fundamental in the visualization process.

4 years ago

Data science

Assessing the Accuracy of Predictive Policing Software: Our Method | HackerNoon

Geolitica software predicts crime but disproportionately targets low-income, Black, and Latino neighborhoods.

fromSitePoint Forums | Web Development & Design Community

Data science

Spark Scala Exercise 8: Working with Date-Time in SparkExtract, Transform, and Analyze

Date and time operations are vital for analysis in various sectors, enabling insights into trends and customer behavior.

more#data-analysis

Data science

A question about bioinformatics

Hello, Can bioinformatics be used in disease diagnosis and drug development?

#sql

Data science

Database Revolution Series: A Modern Guide to Data Management

SQL databases manage structured data efficiently, while NoSQL is ideal for unstructured data.

1 year ago

Data science

SQL Data Modification Commands With Examples: A Fast and Easy Guide | HackerNoon

SQL Data Manipulation Language commands like INSERT, UPDATE, and DELETE allow for effective management and modification of database records.

Data science

Database Revolution Series: A Modern Guide to Data Management

SQL databases manage structured data efficiently, while NoSQL is ideal for unstructured data.

1 year ago

Data science

SQL Data Modification Commands With Examples: A Fast and Easy Guide | HackerNoon

SQL Data Manipulation Language commands like INSERT, UPDATE, and DELETE allow for effective management and modification of database records.

Data science

What Are AI Credits and How Can Data Scientists Use Them?

AI credits facilitate access to essential tools for data science teams, enhancing innovation and cost-effectiveness.

Data science

Transforming Business Through SAP Innovation by Nagender Yadav | HackerNoon

Nagender Yadav transforms SAP implementations, significantly reducing costs and timelines with pioneering methods.

What Are AI Credits and How Can Data Scientists Use Them?

AI credits facilitate access to essential tools for data science teams, enhancing innovation and cost-effectiveness.

Data science

Transforming Business Through SAP Innovation by Nagender Yadav | HackerNoon

Nagender Yadav transforms SAP implementations, significantly reducing costs and timelines with pioneering methods.

Data science

Spark Scala Exercise 23: Working with Delta Lake in Spark ScalaACID, Time Travel, and Upserts

Delta Lake enhances data reliability and governance for data lakes by integrating warehouse features.

Data science

Spark Scala Exercise 10: Handling Nulls and Data CleaningFrom Raw Data to Analytics-Ready

Effective data cleaning is essential in data engineering to prevent downstream issues caused by nulls.

fromChannelPro

Data science

Datatonic expands global services with Syntio acquisition

Datatonic expands its services by acquiring data engineering firm Syntio, enhancing global reach and expertise in AI solutions.

Data science

Tired of Copy-Pasting Hive Output? This PySpark Hack Fixes It | HackerNoon

Automating CSV export from Hive or Impala output is essential for efficient data engineering tasks.

9 months ago

Data science

What is Microsoft Fabric? A big tech stack for big data

Microsoft Fabric is a comprehensive cloud-based platform for data analytics that integrates various Microsoft tools.

Data science

Spark Scala Exercise 23: Working with Delta Lake in Spark ScalaACID, Time Travel, and Upserts

Delta Lake enhances data reliability and governance for data lakes by integrating warehouse features.

Data science

Spark Scala Exercise 10: Handling Nulls and Data CleaningFrom Raw Data to Analytics-Ready

Effective data cleaning is essential in data engineering to prevent downstream issues caused by nulls.

fromChannelPro

Data science

Datatonic expands global services with Syntio acquisition

Datatonic expands its services by acquiring data engineering firm Syntio, enhancing global reach and expertise in AI solutions.

Data science

Tired of Copy-Pasting Hive Output? This PySpark Hack Fixes It | HackerNoon

Automating CSV export from Hive or Impala output is essential for efficient data engineering tasks.

#performance-optimization

9 months ago

Data science

What is Microsoft Fabric? A big tech stack for big data

Microsoft Fabric is a comprehensive cloud-based platform for data analytics that integrates various Microsoft tools.

more#data-engineering

fromTalkpython

Data science

The PyArrow Revolution

PyArrow optimizes performance for data analysis in Python, positioning itself as a critical backend for Pandas.

The integration of PyArrow into Pandas marks a significant shift in data science practices.

Data science

Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and Shuffle

Implementing a custom partitioner in Spark helps manage load balance and optimize data distribution.

Data science

Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and Shuffle

Implementing a custom partitioner in Spark Scala enhances control over data distribution, improves performance in various scenarios, and optimizes task execution.

fromTalkpython

The PyArrow Revolution

PyArrow optimizes performance for data analysis in Python, positioning itself as a critical backend for Pandas.

The integration of PyArrow into Pandas marks a significant shift in data science practices.

Data science

Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and Shuffle

Implementing a custom partitioner in Spark helps manage load balance and optimize data distribution.

more#performance-optimization

Data science

Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and Shuffle

Implementing a custom partitioner in Spark Scala enhances control over data distribution, improves performance in various scenarios, and optimizes task execution.

#biomedical-text-mining

Data science

Future Perspectives in the Era of Large Language Models, and References | HackerNoon

Large language models necessitate robust evaluation benchmarks for biomedical text mining.

Future challenges should focus on multimodal data integration in biomedical research.

Data science

The Impact of Community Challenges on Biomedical Text Mining Research | HackerNoon

Community challenges have greatly advanced biomedical text mining by offering benchmarks and fostering collaboration.

Data science

Future Perspectives in the Era of Large Language Models, and References | HackerNoon

Large language models necessitate robust evaluation benchmarks for biomedical text mining.

Future challenges should focus on multimodal data integration in biomedical research.

more#biomedical-text-mining

Data science

The Impact of Community Challenges on Biomedical Text Mining Research | HackerNoon

Community challenges have greatly advanced biomedical text mining by offering benchmarks and fostering collaboration.

Big Data for the Data Science-Driven Manager 03- Apache Spark Explained for Managers

Apache Spark is crucial for efficiently processing large datasets in modern enterprises.

Data science

Build an AI System to Recommend You the Jazziest Pants (Or Any Other Apparel) on the Planet | HackerNoon

A modern recommendation engine can predict customer preferences by integrating user behavior and product data.

Big Data for the Data Science-Driven Manager 03- Apache Spark Explained for Managers

Apache Spark is crucial for efficiently processing large datasets in modern enterprises.

Data science

Build an AI System to Recommend You the Jazziest Pants (Or Any Other Apparel) on the Planet | HackerNoon

A modern recommendation engine can predict customer preferences by integrating user behavior and product data.

more#machine-learning

Data science

Databricks to infuse $250M to double its R&D staff in India this year

The company is investing $250 million to enhance its Data + AI academy in India.

#data-visualization

fromErik Marsja

Data science

How to Extract GPS Coordinates from a Photo: The USAID Mystery

Photographs today capture hidden data like geolocation, revealing where they were taken.

fromClickUp

Data science

How To Make a Pie Chart in Google Sheets (Step-by-Step)

Pie charts provide a simple way to visualize data for easy analysis.

Google Sheets enables users to create and customize pie charts effortlessly.

fromErik Marsja

Data science

How to Extract GPS Coordinates from a Photo: The USAID Mystery

Photographs today capture hidden data like geolocation, revealing where they were taken.

fromClickUp

#socio-psychological-harms

Data science

How To Make a Pie Chart in Google Sheets (Step-by-Step)

Pie charts provide a simple way to visualize data for easy analysis.

Google Sheets enables users to create and customize pie charts effortlessly.

more#data-visualization

Common Names and the Subordination of Non-White Characters in AI Stories | HackerNoon

The study highlights the socio-psychological harms of generative language models, particularly regarding gender, race, and sexual orientation.

Data science

How AI Models Gender and Sexual Orientation | HackerNoon

Language models reveal socio-psychological harms by misrepresenting identities, emphasizing the need for more inclusive AI approaches.

Common Names and the Subordination of Non-White Characters in AI Stories | HackerNoon

The study highlights the socio-psychological harms of generative language models, particularly regarding gender, race, and sexual orientation.

more#socio-psychological-harms

Data science

How AI Models Gender and Sexual Orientation | HackerNoon

Language models reveal socio-psychological harms by misrepresenting identities, emphasizing the need for more inclusive AI approaches.

fromwww.mercurynews.com

San Francisco-based Databricks to hire hundreds in India to accelerate AI boom

Databricks Inc. plans to invest over $250 million in India and increase its workforce by over 50% to boost AI innovation.

Quantifying the Stereotypes in AI-Generated Text | HackerNoon

Language models frequently perpetuate biases by omitting diverse identities, resulting in harmful stereotypes and societal exclusion.

#etl

Data science

Spark Scala Exercise 25: Build a Batch ETL Job with Performance BenchmarkingEngineering for

The exercise provides hands-on experience with real-world ETL processes, performance monitoring, and operational visibility in Spark.

Data science

Spark Scala Exercise 4: DataFrame Schema Exploration (with Case Classes)

Understand how Spark infers schemas and the importance of Scala case classes for type safety.

fromLogRocket Blog

Data science

Use TypeScript instead of Python for ETL pipelines - LogRocket Blog

Building an ETL pipeline in TypeScript enhances type safety and maintainability while processing data from various sources.

Data science

Spark Scala Exercise 25: Build a Batch ETL Job with Performance BenchmarkingEngineering for

The exercise provides hands-on experience with real-world ETL processes, performance monitoring, and operational visibility in Spark.

Data science

Spark Scala Exercise 4: DataFrame Schema Exploration (with Case Classes)

Understand how Spark infers schemas and the importance of Scala case classes for type safety.

fromLogRocket Blog

Data science

Use TypeScript instead of Python for ETL pipelines - LogRocket Blog

Building an ETL pipeline in TypeScript enhances type safety and maintainability while processing data from various sources.

Data science

Ignoring citizens' privacy to build a centralized database and track people

The consolidation of government data for tracking immigrants raises concerns about privacy and accuracy.

The Trump administration's executive order endorses data sharing across federal agencies.

fromwww.theguardian.com

Data science

Predictive policing has prejudice built in | Letters

Data automation is perpetuating discrimination against marginalized communities and lacks evidence for preventing crime.

Ignoring citizens' privacy to build a centralized database and track people

The consolidation of government data for tracking immigrants raises concerns about privacy and accuracy.

The Trump administration's executive order endorses data sharing across federal agencies.

fromwww.theguardian.com

Data science

Predictive policing has prejudice built in | Letters

Data automation is perpetuating discrimination against marginalized communities and lacks evidence for preventing crime.

List of NOAA datasets to be discontinued

Urgent download of NOAA datasets is recommended as many are set for retirement in the coming weeks.

fromwww.nature.com

Data science

Author Correction: Structure of the human dopamine transporter in complex with cocaine

Corrections made to the structure analysis of hDAT with no impact on overall conclusions.

Data mesh vs. data fabric vs. data virtualization: There's a difference

Data mesh is a decentralized approach where domain experts manage their own data, treating it as a product.

fromInfoQ

Redis 8 Targets AI Applications with New Data Type for Vector Similarity

Redis has introduced Vector Sets, a new data type enhancing AI applications through vector similarity.

Vector Sets enable semantic searches and support filtered capabilities for AI systems.

Data science

Using the Excel DAYS360 Function for Financial Analysis- A Guide | HackerNoon

The DAYS360 function calculates the number of days between dates based on a 360-day year, essential for financial calculations.

fromIT Pro

Business leaders are having a crisis of confidence over data literacy

Business leaders feel pressured to utilize data for decisions, but face obstacles like lack of data trust and literacy.

fromEntrepreneur

Data science

Lead with Insight Using These 5 Success Strategies | Entrepreneur

Organizations struggle with becoming data-driven primarily due to cultural challenges rather than technological ones.

Establishing clear strategic goals is essential before adopting advanced analytics and AI.

Database Revolution Series: A Modern Guide to Data Management

Serverless computing and NewSQL databases revolutionize application development, enhancing scalability and simplifying the development process.

#scala

Data science

Handling Large Data Volumes (100GB-1TB) in Scala with Apache Spark

Apache Spark is essential for processing large datasets due to memory constraints and scalability of traditional tools.

Data science

Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and Shuffle

Custom partitioners in Spark Scala enable optimal control over data distribution for RDDs.

Data science

Handling Large Data Volumes (100GB-1TB) in Scala with Apache Spark

Apache Spark is essential for processing large datasets due to memory constraints and scalability of traditional tools.