KDnuggets

SEPTEMBER 11, 2023

Where do you start in a field as vast as big data? Which tools and techniques to use? We explore this and talk about the most common tools in big data.

Big Data Tools 119

Big Data Tools Big Data Data Data Engineering 119

Snowflake

SEPTEMBER 11, 2023

Data privacy regulations are sweeping across the globe, with some 71% of countries worldwide adopting data protection and privacy legislation. This wide adoption of legislation requires organizations that store or process personally identifiable information (PII) to have greater control over that data, and better transparency about how they store it.

Cloud 74

Cloud Electronics Government Data Governance 74

KDnuggets

SEPTEMBER 11, 2023

The not so secret behind becoming a proficient programmer - Math & it’s top 10 concepts.

Programming 116

Programming 116

Confluent

SEPTEMBER 11, 2023

See how you can leverage a data streaming platform to build event-driven microservices and do stream processing for faster, better customer onboarding.

Cloud 67

Cloud Building Process Data 67

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

Data

KDnuggets

SEPTEMBER 11, 2023

An introductory guide to profiling Python code using the timeit and cProfile modules.

Python 107

Python Coding 107

FreshBI

SEPTEMBER 11, 2023

“ During my early days in IT, I used to create CSV reports by reading the client’s specifications from the ticket and then querying the SQL server. those were truly the dark ages. ” In the continuously evolving field of data-driven insights, maintaining competitiveness relies not only on in-depth analysis but also on the rapid and precise development of reports.

BI 59

BI Consulting Datasets Data Ingestion 59

Precisely

SEPTEMBER 11, 2023

Artificial intelligence (AI) has many applications, ranging from software products to appliances to cars and everything in between. AI has already made significant advancements in software – with even more exciting and promising developments ahead. AI-based capabilities are now considered essential by customers and industry analysts, with expectations of accelerated growth in the coming years.

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

Scott Logic

SEPTEMBER 11, 2023

You think software has enough variables, right? Well there is another one that has become a big consideration when designing, developing and deploying software and its name is Sustainability. This area of consideration comes with its own terminology and with this blog post I hope to shed some light onto the nomenclature. So when someone comes up to you and says “I want to design a sustainable, carbon aware system that focuses on reducing the operational carbon of my business but also minimises e

Transportation 52

Transportation Manufacturing Food Designing 52

Edureka

SEPTEMBER 11, 2023

The idea of artificial intelligence (AI) has always been fun, but when the word “generative” is added, it promises to be an alluring combination of automation and creativity. From healthcare and finance to art and entertainment, generative AI has been in the news recently. But what exactly is generative AI, and why is it so popular today?

Algorithm 52

Algorithm Entertainment Healthcare Deep Learning 52

Scott Logic

SEPTEMBER 11, 2023

At the heart of our modern software development process, lies the humble yet powerful concept of “User Stories” - the simplest way to capture what a user needs. User Stories serve as the bridge between the business stakeholders and the development team, providing a shared understanding of what the software should achieve. Over the last decade, as I worked on multiple projects, there has been one very common challenge that I faced almost everywhere.

Engineering 52

Engineering Accessible Accessibility Project 52

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Acceldata

SEPTEMBER 11, 2023

Learn about the most improtant aspects of enterprise data observability and how they're used to enhance and optimize modern data environments.

Data 52

Data 52

Mutt Data

SEPTEMBER 11, 2023

Mutt Data Is Climbing The Ranks of The Big Data Risk Management Industry Navigating big data risk assessment management is complex. Handling massive datasets demands advanced analytics expertise, AI integration, and data security assurance. Identifying subtle patterns and emerging risks requires skill. Despite challenges, mastering this discipline is crucial to preemptively manage risks, protect assets, and ensure business continuity in the digital age.

Amazon Web Services 40

Amazon Web Services Google Cloud Big Data Consulting 40

Snowflake

SEPTEMBER 11, 2023

How experimenting with Dynamic Tables on Snowflake led to improvements in the Data Vault patterns. We have seen enormous interest in Dynamic Tables for Snowflake. So what exactly are Dynamic Tables and where should they fit into your Data Vault architecture? As a reminder, these are the Data Vault table types: And these are the information mart patterns we need to efficiently get the data out of the Data Vault: What are Dynamic Tables?

SQL 69

SQL Data Raw Data Architecture 69

Mutt Data

SEPTEMBER 11, 2023

Mutt Data Is Climbing The Ranks of The Big Data Risk Management Industry Navigating big data risk assessment management is complex. Handling massive datasets demands advanced analytics expertise, AI integration, and data security assurance. Identifying subtle patterns and emerging risks requires skill. Despite challenges, mastering this discipline is crucial to preemptively manage risks, protect assets, and ensure business continuity in the digital age.

Amazon Web Services 40

Amazon Web Services Google Cloud Big Data Consulting 40

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Data Analysis

Data Engineering Weekly

SEPTEMBER 11, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. See how it works today. Niels Claeys: Head-to-head comparison of 3 dbt SQL engines The blog post compares benchmarks for the popular dbt SQL engines Trino, DuckDB, and Spark.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Edureka

SEPTEMBER 11, 2023

Today’s business world is very complex and always changing, so businesses have to be able to respond quickly to changes in technology, consumer behaviour, and market conditions. The huge amount of data created every second is one of the main reasons for this complexity. Businesses have more data than ever, including how customers interact with them and what they do on social media, as well as how much inventory they have and how much money they make.

Business Intelligence 52

Business Intelligence BI Database-centric Raw Data 52