KDnuggets

JULY 4, 2025

This is an important data transformation process in various real-world scenarios and industries like image processing, finance, genetics, and machine learning applications where data contains many features that need to be analyzed more efficiently. Is this a good result?

Machine Learning

AWS Big Data

JULY 30, 2025

With data lineage captured at the table, column, and job level, data producers can conduct impact analysis of changes in their data pipelines and respond to data issues when needed, for example, when a column in the resulting dataset is missing the quality required by the business.

Metadata

CIO Business Intelligence

DECEMBER 20, 2024

A modern data architecture needs to eliminate departmental data silos and give all stakeholders a complete view of the company: 360 degrees of customer insights and the ability to correlate valuable data signals from all business functions, like manufacturing and logistics. Application programming interfaces. Cloud computing.

Data Architecture

DataKitchen

JULY 8, 2025

Let us show you how to implement full-coverage automatic data checks on every table, column, tool, and step in your delivery process. Test Coverage Measurement Effective test coverage measurement requires a systematic application across all database levels and zones. months of full-time effort for a trained data engineer.

Testing

AWS Big Data

DECEMBER 27, 2024

The fact tables used the default partitioning by the date column, which have a number of partitions varying from 2002,100. For additional insights, we also examine the cost aspect. This benchmark application is built from the branch tpcds-v2.13_iceberg. Upload the benchmark application JAR file to Amazon S3.

Cost-Benefit

AWS Big Data

NOVEMBER 6, 2024

To build such applications, engineering teams are increasingly adopting two trends. First, they’re replacing batch data processing pipelines with real-time streaming, so applications can derive insight and take action within seconds instead of waiting for daily or hourly batch exchange, transform, and load (ETL) jobs.

Metadata

AWS Big Data

NOVEMBER 6, 2024

Generative AI, particularly through the use of large language models (LLMs), has become a focal point for creating intelligent applications that deliver personalized experiences. For example, businesses can use generative AI for sentiment analysis of customer reviews, transforming vast amounts of feedback into actionable insights.

Internet of Things

CIO Business Intelligence

NOVEMBER 27, 2024

In a relative sense Different domains and applications require different levels of data cleaning. Not all columns are equal, so you need to prioritize cleaning data features that matter to your model, and your business outcomes. “It can end up, at best, wasting a lot of time and effort.

Enterprise

AWS Big Data

DECEMBER 4, 2024

and Python 3.11 , giving you newer Spark and Python releases so you can develop, run, and scale your data integration workloads and get insights faster. He enjoys helping customers uncover insights and make better decisions using their data with AWS Analytics services. AWS Glue 5.0 upgrades the Spark engines to Apache Spark 3.5.2

Data Lake

AWS Big Data

JULY 15, 2025

Parquet also provides excellent compression and efficient I/O by enabling selective column reads, reducing the amount of data scanned during queries. Please refer to section “Query and Join data from these S3 Tables to build insights” for query details. Take note of the application-id to use later for launching the jobs.

Optimization

AWS Big Data

JULY 9, 2025

The next generation of Amazon SageMaker with Amazon EMR in Amazon SageMaker Unified Studio addresses these pain points through an integrated development environment (IDE) where data workers can develop, test, and refine Spark applications in one consistent environment. Create and configure a Spark application.

Testing

AWS Big Data

DECEMBER 19, 2024

Over time, as organizations began to explore broader applications, data lakes have become essential for various data-driven processes beyond just reporting and analytics. The Data Catalog also now supports heavily nested complex data and supports schema evolution as you reorder or rename columns.

Data Lake

Smarten

JANUARY 6, 2025

Data Visualization A drag and drop smart visualization engine allows the user to select the best fit and most appropriate options to visualize a particular dataset based on data columns, types, data volume and other factors.

Predictive Analytics

AWS Big Data

JULY 1, 2025

An organization’s data can come from various sources, including cloud-based pipelines, partner ecosystems, open table formats like Apache Iceberg, software as a service (SaaS) platforms, and internal applications. We use large language models (LLMs) in Amazon Bedrock to automatically generate key elements for custom structured assets.

Metadata

AWS Big Data

NOVEMBER 22, 2024

Organizations run millions of Apache Spark applications each month to prepare, move, and process their data for analytics and machine learning (ML). Building and maintaining these Spark applications is an iterative process, where developers spend significant time testing and troubleshooting their code.

Metrics

AWS Big Data

MARCH 6, 2025

With the newly released feature of Amazon Redshift Data API support for single sign-on and trusted identity propagation , you can build data visualization applications that integrate single sign-on (SSO) and role-based access control (RBAC), simplifying user management while enforcing appropriate access to sensitive information.

Visualization

AWS Big Data

DECEMBER 9, 2024

Unified data quality management The WAP pattern separates the audit and publish logic from the writer applications. By configuring the following parameters, when schema changes occur, new columns from the source are added to the target table with NULL values for existing rows. option("merge-schema","true").append()

Data Quality

KDnuggets

JULY 28, 2025

no blank cells or mixed formats) Use data validation to create dropdowns for categories or statuses Include a timestamp column if you plan to track trends over time # 2. Be sure to include all necessary columns that represent your axes or variables. Google Sheets will insert a chart onto your sheet, initially as a blank canvas.

Dashboards

CIO Business Intelligence

JUNE 2, 2025

Without automated tracking, unmapped data flows move between pipelines, APIs and third-party applications without oversight, leading to shadow data redundant, outdated and unstructured datasets that exist outside official repositories, creating compliance blind spots.

Data-driven

AWS Big Data

JULY 31, 2025

Data lakes are a powerful architecture to organize data for analytical processing, because they let builders use efficient analytical columnar formats like Apache Parquet , while letting them continue to modify the shape of their data as their applications evolve with open table formats like Apache Iceberg.

Data Lake

AWS Big Data

JUNE 5, 2025

This flexibility accelerates insights and improves resource utilization across the analytics stack. We then use LF-Tags to share restricted columns of this view to the downstream engineering team. On the EMR Studio dashboard, choose Create application. You will be directed to the Create application page on EMR Studio.

Data Lake

AWS Big Data

JUNE 30, 2025

This capability enables Data Manipulation Language (DML) operations including CREATE , ALTER , DELETE , UPDATE , and MERGE INTO statements on Apache Hive and Iceberg tables from within the same Apache Spark application. To do this, follow the steps in Application integration for full table access. Migrate an AWS Glue 4.0

Data Lake

AWS Big Data

JULY 17, 2025

With AWS Glue , organizations can discover, prepare, and combine data for analytics, machine learning (ML), AI, and application development. This was mainly caused by large shuffling on a specific column. 16X on an AWS Glue Studio notebook or interactive sessions, set G.12X This is the same pricing as the existing worker types.

Broadcasting

Smarten

FEBRUARY 6, 2025

Low-Code Development Low-Code Development allows programmers and developers to quickly and easily create applications using tools that simplify the development process with drag and drop components that enable the team to add features without writing code from scratch.

Predictive Analytics

Cloudera

DECEMBER 3, 2024

For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments. When you run Apache Spark applications on Athena, you submit Spark code for processing and receive the results directly.

Metadata

CIO Business Intelligence

NOVEMBER 25, 2024

Under the “what you need” column, consider functional and non-functional lenses, Briggs advises. I like the way Oracle is embedding AI into the ERP and SCM Fusion applications, and I like the opportunity for the smaller, quarterly updates to the apps versus the big-bang-every-five-years-upgrades to other systems,” Neumeier explains.

Digital Transformation

AWS Big Data

APRIL 17, 2025

Example Retails leadership is interested in understanding customer and business insights across thousands of customer touchpoints for millions of their customers that will help them build sales, marketing, and investment plans. Now grant the project role access to subset of columns from customer_churn dataset. Choose Grant.

Analytics

AWS Big Data

FEBRUARY 26, 2025

Analytics remained one of the key focus areas this year, with significant updates and innovations aimed at helping businesses harness their data more efficiently and accelerate insights. This zero-ETL integration reduces the complexity and operational burden of data replication to let you focus on deriving insights from your data.

Analytics

KDnuggets

JULY 8, 2025

For the age column, fill any remaining missing values with the median age. For the category column, fill any missing values with the string unknown. Instead of asking the AI to build an entire application at once, guide it through the process. Lacking these insights, what good is having a chunk of AI-generated code?

Machine Learning

AWS Big Data

JUNE 30, 2025

On the CloudWatch console, choose Logs in the navigation pane, then choose Log Insights. Filter by the Lambda UDF and use the following query to identify the number of Lambda invocations. This helps track usage patterns and execution frequency.

Cost-Benefit

Jet Global

AUGUST 4, 2025

Enhanced Capabilities Here are some key capabilities of translytical write back: Add multiple columns to the edit form Use textboxes, dropdowns, or buttons as controls Easily implement validation Create visually appealing custom interfaces Build your own versioning logic (yes, it’s possible!) Instantly share insights.

Forecasting

Jet Global

OCTOBER 31, 2024

If you rely on IT or external consultants to make custom reporting changes – adding columns, adding data sources, and more – this causes delays that eat into the time you have available for analysis. This means you have more time to analyze the data and generate insights, rather than wasting time on the creation of the report.

Reporting

BI-Survey

FEBRUARY 27, 2025

Figure 1: Enterprise Data Catalogs interact with AI in two ways These regulations require organizations to document and control both traditional and generative AI models, whether they build them or incorporate them into their own applications, thus driving demand for data catalogs that support compliance.

Unstructured Data

Rocket-Powered Data Science

MARCH 10, 2020

I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. As you read this, just remember the most important message: the natural data structure of the world is not rows and columns, but a graph.

Metadata

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. A survey conducted by the Business Application Research Center stated the data quality management as the most important trend in 2020. Source: Business Application Research Center *. Agile and flexible.

Business Intelligence

datapine

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes. Digital data is all around us. In fact, we create around 2.5

Reporting

datapine

NOVEMBER 30, 2023

We have already covered many types of graphs and charts , including bar charts , column charts , area charts , line charts , and more. A table graph is a type of data visualization that uses rows and columns to organize and display numerical or textual data. That is, if columns and rows are arranged correctly.

Visualization