KDnuggets

FEBRUARY 8, 2024

Discover the top AI coding assistants that can 10X your productivity overnight - #5 has the best autocomplete feature, and #1 is the most advanced code assistant tool ever seen!

Coding 130

Coding Programming 130

databricks

FEBRUARY 8, 2024

At Databricks, we've upheld principles of responsible development throughout our long-standing history of building innovative data and AI products. We are committed to.

Government 114

Government Building Data 114

KDnuggets

FEBRUARY 8, 2024

It’s more important than ever to think long-term about the analytics partnerships you forge. Are you choosing technologies that will stand the test of time? Are you choosing companies with proven track records?

Technology 107

Technology Data 107

ArcGIS

FEBRUARY 8, 2024

Best practices for using layers and different display modes in Infographic templates in ArcGIS Business Analyst and Community Analyst

Business Analyst 112

Business Analyst Designing 112

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

KDnuggets

FEBRUARY 8, 2024

Are you preparing for your dream data science job but feeling overwhelmed by the vast amount of online resources? Look no further than this free and easily accessible web-based book to help you brush up on your skills and feel confident for your upcoming interview.

Data Science 107

Data Science Data Accessible Accessibility 107

Cloudera

FEBRUARY 8, 2024

Overview This blog post describes support for materialized views for the Iceberg table format. Apache Iceberg is a high-performance open table format for petabyte-scale analytic datasets. It has been designed and developed as an open community standard to ensure compatibility across languages and implementations. It brings the reliability and simplicity of SQL tables to big data while enabling engines like Hive, Impala, Spark, Trino, Flink, and Presto to work with the same tables at the same

Metadata 90

Metadata Data Warehouse BI AWS 90

Confluent

FEBRUARY 8, 2024

Learn how to implement GitOps for Apache Kafka with Confluent for Kubernetes and Confluent Platform. Automate resource deployment and streamline administration.

Kafka 75

Kafka Management 75

Monte Carlo

FEBRUARY 8, 2024

Data observability has been one of the hottest emerging data engineering technologies the last several years. This momentum shows no signs of stopping with data quality and reliability becoming a central topic in the data product and AI conversations taking place across organizations of all types and sizes. Benefits of data observability include: Increasing data trust and adoption Mitigating operational, reputational, and compliance risks associated with bad data Boosting revenue Reducing time

BI 59

BI Data Pipeline Data Warehouse Data 59

Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Well, address challenges can often be traced to human error. We may be constantly glued to our computers and phones, but typos are still inevitable.

Insurance 59

Insurance Data Data Integration Big Data 59

Towards Data Science

FEBRUARY 8, 2024

When to know which type of key to use in your data models Continue reading on Towards Data Science »

Designing 78

Designing Data Science Data Database Design 78

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

Monte Carlo

FEBRUARY 8, 2024

Just as a watchmaker meticulously adjusts every tiny gear and spring in harmonious synchrony for flawless performance, modern data pipeline optimization requires a similar level of finesse and attention to detail. Sure, a modern data stack can simplify or automate many tasks, but understanding your tools’ capabilities and how they can best be utilized is what really unlocks cost savings and efficiency in your data pipeline.

Data Pipeline 52

Data Pipeline AWS Datasets Data 52

Precisely

FEBRUARY 8, 2024

Address data: for many businesses, it falls into one of two categories – a valuable asset, or a major (and costly) headache. What makes address data so challenging for those that fall into the latter category? Well, address challenges can often be traced to human error. We may be constantly glued to our computers and phones, but typos are still inevitable.

Insurance 52

Insurance Data Data Integration Big Data 52

Edureka

FEBRUARY 8, 2024

Introduction to AWS Instances Selecting the right AWS instance type is a critical decision that can significantly influence the success of your cloud-based applications and infrastructure. The choice of instance type goes beyond mere hardware specifications; it plays a pivotal role in determining the performance, scalability, and cost efficiency of your AWS deployment.

AWS 52

AWS NoSQL Deep Learning Datasets 52

Confluent

FEBRUARY 8, 2024

Struggling to get your GenAI app off the ground? You’re not alone—GenAI apps can be challenging to build. Luckily, taking an event-driven approach can make the process more manageable. Learn how.

Building 52

Building Process Management 52

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing

Edureka

FEBRUARY 8, 2024

Introduction to AWS Fundamentals In the ever-evolving landscape of modern Information Technology (IT), the pervasive impact of cloud computing has grown to be a cornerstone for corporations striving for agility, scalability, and performance. Cloud computing has transformed the conventional paradigms of infrastructure management, providing a dynamic and bendy method to computing resources.

AWS 52

AWS Amazon Web Services Cloud Computing Electronics 52

Cloudyard

FEBRUARY 8, 2024

Read Time: 1 Minute, 27 Second In this blog post, we will delve into a specific scenario concerning the suspension of Child tasks in Snowflake. A colleague recently presented a challenge where he sought to automate the suspension of particular CHILD tasks. In his current setup, there were over 20+ child task intricately connected to a parent TASK. While Snowflake provides a command to enable all child tasks at once (SELECT SYSTEM$TASK_DEPENDENTS_ENABLE ('<<PARENT TASK>>')) , ther

Systems 52

Systems Process IT 52

Striim

FEBRUARY 8, 2024

Every second on the tarmac counts. The ability to swiftly turn around planes not only determines an airline’s efficiency but also impacts passenger satisfaction and operational profitability. This blog delves into the transformative role real-time data analytics plays in streamlining ground operations, reducing delays, and boosting overall efficiency in the aviation industry.

MongoDB 52

MongoDB Data Analytics Data Data Integration 52

Confluent

FEBRUARY 8, 2024

Find out how product designer Deok has gained skills and embraced collaboration during his three years improving the platform user experience at Confluent.

Designing 52

Designing 52

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

Systems