AWS Big Data

DECEMBER 27, 2024

4xlarge instances, providing observable gains for data processing tasks. The fact tables used the default partitioning by the date column, which have a number of partitions varying from 2002,100. times less data from Amazon S3 and 4.1 Create Iceberg tables from the TPC-DS source data. times faster than Apache Spark 3.5.1

Cost-Benefit

AWS Big Data

JUNE 26, 2025

We’re excited to announce AWS Glue Data Catalog usage metrics. This feature provides you with immediate visibility into your AWS Glue Data Catalog API usage patterns and trends. AWS Glue Data Catalog is a centralized repository that stores metadata about your organization’s datasets.

Metrics

AWS Big Data

JULY 15, 2025

Apache Iceberg, a high-performance open table format (OTF), has gained widespread adoption among organizations managing large scale analytic tables and data volumes. Parquet is one of the most common and fastest growing data types in Amazon S3. ORC was specifically designed for Hadoop ecosystem and optimized for Hive.

Optimization

AWS Big Data

JULY 9, 2025

Organizations face significant challenges managing their big data analytics workloads. Data teams struggle with fragmented development environments, complex resource management, inconsistent monitoring, and cumbersome manual scheduling processes. Choose Data processing , then choose Add compute.

Testing

AWS Big Data

DECEMBER 9, 2024

In todays data-driven world, tracking and analyzing changes over time has become essential. As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis.

Snapshot

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. By using features like Icebergs compaction, OTFs streamline maintenance, making it straightforward to manage object and metadata versioning at scale.

Data Lake

AWS Big Data

MARCH 6, 2025

In todays data-driven world, securely accessing, visualizing, and analyzing data is essential for making informed business decisions. The Amazon Redshift Data API simplifies access to your Amazon Redshift data warehouse by removing the need to manage database drivers, connections, network configurations, data buffering, and more.

Visualization

CIO Business Intelligence

NOVEMBER 25, 2024

We really liked [NetSuite’s] architecture and that it’s in the cloud, and it hit the vast majority of our business requirements,” Shannon notes. The ERP modernization mandate ERP modernization is both a big undertaking and a big mandate for CIOs — and not one most relish having to do.

Digital Transformation

KDnuggets

JUNE 27, 2025

By Natassha Selvaraj , KDnuggets Technical Content Specialist At-Large on June 27, 2025 in Data Science Image by Editor | ChatGPT Data analytics has changed. By Natassha Selvaraj , KDnuggets Technical Content Specialist At-Large on June 27, 2025 in Data Science Image by Editor | ChatGPT Data analytics has changed.

Data Analytics

AWS Big Data

APRIL 17, 2025

Amazon SageMaker Lakehouse is a unified, open, and secure data lakehouse that now seamlessly integrates with Amazon S3 Tables , the first cloud object store with built-in Apache Iceberg support. You can then query, analyze, and join the data using Redshift, Amazon Athena , Amazon EMR , and AWS Glue.

Analytics

AWS Big Data

MARCH 21, 2025

The ability for organizations to quickly analyze data across multiple sources is crucial for maintaining a competitive advantage. Traditionally, answering this question would involve multiple data exports, complex extract, transform, and load (ETL) processes, and careful data synchronization across systems.

Data Warehouse

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). are written in English.

Deep Learning

Cloudera

MAY 19, 2021

This year, we expanded our partnership with NVIDIA , enabling your data teams to dramatically speed up compute processes for data engineering and data science workloads with no code changes using RAPIDS AI. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS.

Machine Learning

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That is because graphical representations of data make it easier to convey important information to different audiences. Let’s start this journey by looking at a definition.

Visualization

AWS Big Data

JUNE 19, 2024

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools.

Data Warehouse

AWS Big Data

NOVEMBER 17, 2023

Athena provides a simplified, flexible way to analyze petabytes of data where it lives. You can analyze data or build applications from an Amazon Simple Storage Service (Amazon S3) data lake and 30 data sources, including on-premises data sources or other cloud systems using SQL or Python.

Optimization

AWS Big Data

SEPTEMBER 18, 2023

This integration reduces the overall time spent in writing data integration and extract, transform, and load (ETL) logic. AWS Glue Studio notebooks allows you to author data integration jobs with a web-based serverless notebook interface. It also helps beginner-level programmers write their first lines of code.

Data Integration

Smart Data Collective

JULY 19, 2021

One of such research paper types that college students may have to write is a research paper on big data. If you have to write a research paper on big data as a college student, the first thing to note is that it’s not something you’re familiar about if you don’t major in data science or computer science.

Big Data

AWS Big Data

DECEMBER 15, 2023

With the exponential growth of data, companies are handling huge volumes and a wide variety of data including personally identifiable information (PII). Identifying and protecting sensitive data at scale has become increasingly complex, expensive, and time-consuming. For our solution, we use Amazon Redshift to store the data.

Data Lake

AWS Big Data

FEBRUARY 20, 2024

You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. However, you may have to integrate data from multiple IoT sensor devices to derive analytics like equipment health information from all the sensors based on common data elements.

Analytics

AWS Big Data

JUNE 15, 2023

In today’s world, customers manage vast amounts of data in their Amazon Simple Storage Service (Amazon S3) data lakes, which requires convoluted data pipelines to continuously understand the changes in the data layout and make them available to consuming systems. Note down values of DatabaseName and GlueCrawlerName.

Data Lake

Cloudera

AUGUST 4, 2022

Z-order is an ordering for multi-dimensional data, e.g. rows in a database table. Once data is in Z-order it is possible to efficiently search against more columns. But the version of page index filtering that we described could only search efficiently against a limited number of columns. Which are those columns?

IoT

Occam's Razor

FEBRUARY 25, 2013

This blog is centered around creating incredible digital experiences powered by qualitative and quantitative data insights. Every post is about unleashing the power of digital analytics (the potent combination of data, systems, software and people). Analysts: Put up or shut up time! Isn't it amazing? 400% ROI, not bad.

Analytics

Rocket-Powered Data Science

JULY 7, 2019

NOTE: This page is a WIP = Work In Progress.). AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). 4) Credit Card Fraud Alerts. (5) 5) Chatbots (Conversational AI). See [link].

Internet of Things

AWS Big Data

JANUARY 17, 2024

This allows you to simplify security and governance over transactional data lakes by providing access controls at table-, column-, and row-level permissions with your Apache Spark jobs. Many large enterprise companies seek to use their transactional data lake to gain insights and improve decision-making.

Data Lake

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Amazon Redshift also supports querying nested data with complex data types such as struct, array, and map.

Data Lake

AWS Big Data

OCTOBER 9, 2023

Data lakes have been gaining popularity for storing vast amounts of data from diverse sources in a scalable and cost-effective way. As the number of data consumers grows, data lake administrators often need to implement fine-grained access controls for different user profiles.

Data Lake

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. In DataBrew, a recipe is a set of data transformation steps that you can author interactively in its intuitive visual interface. Create a DataBrew recipe Start by registering the data store for the claims file.

Visualization

AWS Big Data

JUNE 23, 2023

Events and many other security data types are stored in Imperva’s Threat Research Multi-Region data lake. Imperva harnesses data to improve their business outcomes. As part of their solution, they are using Amazon QuickSight to unlock insights from their data.

Data Lake

Cloudera

MARCH 24, 2021

One of the most effective ways to improve performance and minimize cost in database systems today is by avoiding unnecessary work, such as data reads from the storage layer (e.g., disks, remote storage), transfers over the network, or even data materialization during query execution. CDP Runtime 7.2.9 CDP Runtime 7.2.9

Data Warehouse

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Dynamic row filtering & column masking. Ranger 2.0.

Testing

AWS Big Data

JULY 28, 2023

Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for its ease of use, high-level APIs, and the ability to process large amounts of data. Flink also allows seamless transition and switching across these APIs.

Data Processing

AWS Big Data

JULY 26, 2023

Data is essential for businesses to make informed decisions, improve operations, and innovate. Integrating data from different sources can be a complex and time-consuming process. AWS Glue provides different authoring experiences for you to build data integration jobs. One of the most common options is the notebook.

Data Integration

AWS Big Data

JULY 6, 2023

Extracting time series on given geographical coordinates from satellite or Numerical Weather Prediction data can be challenging because of the volume of data and of its multidimensional nature (time, latitude, longitude, height, multiple parameters). Note that Lambda is a general purpose serverless engine.

Machine Learning

Occam's Razor

AUGUST 12, 2013

There are few things more complicated in analytics (all analytics, big data and huge data!) There is lots of missing data. And as if that were not enough, there is lots of unknowable data. Look at the last column: Assisted/Last Click or Direct Conversions. • than multi-channel attribution modeling.

Modeling