Analytics Vidhya

JUNE 6, 2022

Introduction In this article, we will discuss advanced topics in hives which are required for Data-Engineering. Whenever we design a Big-data solution and execute hive queries on clusters it is the responsibility of a developer to optimize the hive queries. Performance Tuning in […].

Big Data 367

Big Data Data Science Publishing Optimization 367

AWS Big Data

MARCH 10, 2025

Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume.

Optimization 72

Optimization Data Warehouse Data-driven Testing 72

Analytics Vidhya

SEPTEMBER 3, 2022

This article was published as a part of the Data Science Blogathon. Introduction In the Big Data space, companies like Amazon, Twitter, Facebook, Google, etc., collect terabytes and petabytes of user data that must be handled efficiently.

Big Data 348

Big Data Data Science Publishing Optimization 348

Smart Data Collective

SEPTEMBER 13, 2023

Welcome to 2023, the age where screens are more than mere displays; they’re interactive communication portals, awash with data and always hungry for more. The Intersection of Display and Data Let’s first establish what we’re talking about when we mention digital signage. It’s All About the Data, Baby!

Big Data 126

Big Data Analytics Interactive Advertising 126

AWS Big Data

SEPTEMBER 12, 2024

The AWS Glue Data Catalog now enhances managed table optimization of Apache Iceberg tables by automatically removing data files that are no longer needed. Iceberg creates a new version called a snapshot for every change to the data in the table. However, building these custom pipelines is time-consuming and expensive.

Optimization 128

Optimization Snapshot Metadata Metrics 128

AWS Big Data

AUGUST 21, 2024

To address this requirement, Redshift Serverless launched the artificial intelligence (AI)-driven scaling and optimization feature, which scales the compute not only based on the queuing, but also factoring data volume and query complexity. The slider offers the following options: Optimized for cost – Prioritizes cost savings.

Optimization 106

Optimization Data Lake Data Warehouse Cost-Benefit 106

Smart Data Collective

FEBRUARY 23, 2023

Data mining technology is one of the most effective ways to do this. By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization. What is Data Mining?

Data mining 145

Data mining Optimization Technology Marketing 145

Analytics Vidhya

APRIL 12, 2022

This article was published as a part of the Data Science Blogathon. In the last article, we have already introduced Spark and its work and its role in Big data. Introduction In this article, we are going to cover Spark SQL in Python. If you haven’t checked it yet, please go to this link. Spark is […].

Data Science 337

Data Science Big Data Publishing Analytics 337

Smart Data Collective

NOVEMBER 8, 2024

Smart businesses need to invest in the right data collection and retention strategies if they want to utilize big data effectively.

Data-driven 114

Data-driven Optimization Big Data Data Collection 114

AWS Big Data

NOVEMBER 17, 2023

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

Optimization 130

Optimization Statistics Metadata Data Lake 130

AWS Big Data

OCTOBER 9, 2024

We outline cost-optimization strategies and operational best practices achieved through a strong collaboration with their DevOps teams. We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. x) release.

Optimization 128

Optimization Testing Data-driven Strategy 128

AWS Big Data

DECEMBER 4, 2024

Open table formats are emerging in the rapidly evolving domain of big data management, fundamentally altering the landscape of data storage and analysis. Their ability to resolve critical issues such as data consistency, query efficiency, and governance renders them indispensable for data- driven organizations.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

APRIL 18, 2024

In this post, we discuss how the Salesforce TIP team optimized their architecture using Amazon Web Services (AWS) managed services to achieve better scalability, cost, and operational efficiency. Bhupender Panwar is a Big Data Architect at Salesforce and seasoned advocate for big data and cloud computing.

Optimization 111

Optimization Data Lake Management Key Performance Indicator 111

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Science 300

AWS Big Data

NOVEMBER 22, 2024

For example, instead of processing an entire dataset daily, dbt can be configured to transform only the data ingested in the last 24 hours, making data operations more efficient and cost-effective. Cost management and optimization – Because Athena charges based on the amount of data scanned by each query, cost optimization is critical.

Data Lake 101

Data Lake Data Warehouse Cost-Benefit Data Transformation 101

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 126

Optimization Snapshot Data Lake Metadata 126

AWS Big Data

APRIL 17, 2024

Amazon OpenSearch Service recently introduced the OpenSearch Optimized Instance family (OR1), which delivers up to 30% price-performance improvement over existing memory optimized instances in internal benchmarks, and uses Amazon Simple Storage Service (Amazon S3) to provide 11 9s of durability.

Optimization 128

Optimization Snapshot Metadata Cost-Benefit 128

Analytics Vidhya

SEPTEMBER 1, 2022

This article was published as a part of the Data Science Blogathon. Introduction Apache Iceberg is an open-source spreadsheet format for storing large data sets. It is an optimization technique where attributes are used to divide a table into different sections.

Data Science 371

Data Science Publishing Optimization Analytics 371

AWS Big Data

JULY 11, 2024

Amazon OpenSearch Service introduced the OpenSearch Optimized Instances (OR1) , deliver price-performance improvement over existing instances. For more details about OR1 instances, refer to Amazon OpenSearch Service Under the Hood: OpenSearch Optimized Instances (OR1). OR1 instances use a local and a remote store.

Optimization 115

Optimization Metrics Data Processing Snapshot 115

AWS Big Data

MARCH 28, 2024

To optimize the reconciliation process, these users require high performance transformation with the ability to scale on demand, as well as the ability to process variable file sizes ranging from as low as a few MBs to more than 100 GB. For optimal parallelization, the step concurrency is set at 10, allowing 10 steps to run concurrently.

Optimization 110

Optimization IT Big Data Data Processing 110

AWS Big Data

DECEMBER 27, 2024

Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. This is a further 32% increase from the optimizations shipped in Amazon EMR 7.1 In this post, we demonstrate the performance benefits of using the Amazon EMR 7.5 with Iceberg 1.6.1

Cost-Benefit 105

Cost-Benefit Testing Metrics Optimization 105

AWS Big Data

NOVEMBER 8, 2024

However, it also offers additional optimizations that you can use to further improve this performance and achieve even faster query response times from your data warehouse. One such optimization for reducing query runtime is to precompute query results in the form of a materialized view.

Data Lake 105

Data Lake Data Warehouse Optimization Testing 105

Corinium

APRIL 7, 2021

This brief explains how data virtualization, an advanced data integration and data management approach, enables unprecedented control over security and governance. In addition, data virtualization enables companies to access data in real time while optimizing costs and ROI.

Unstructured Data 195

Unstructured Data Management ROI Big Data 195

AWS Big Data

SEPTEMBER 11, 2024

Conclusion In this post, we showed you how HPE Aruba Supply Chain successfully re-architected and deployed their data solution by adopting a modern data architecture on AWS. The new solution has helped Aruba integrate data from multiple sources, along with optimizing their cost, performance, and scalability.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

AWS Big Data

NOVEMBER 22, 2024

Important considerations for preview As you begin using automated Spark upgrades during the preview period, there are several important aspects to consider for optimal usage of the service: Service scope and limitations – The preview release focuses on PySpark code upgrades from AWS Glue versions 2.0 to version 4.0.

Cost-Benefit 105

Cost-Benefit Data-driven Software Testing 105

BizAcuity

FEBRUARY 21, 2025

Marketing gaining precise insights into ROI, allowing them to optimize ad spend and refine campaign strategies With such integration, you can expect measurable improvements, as decisions are made based on a single, reliable source of truth rather than disconnected reports. Well keep you in the loop on all things data!

Dashboards 52

Dashboards Optimization Finance Sales 52

O'Reilly on Data

APRIL 9, 2019

Otherwise, this leads to failure with big data projects. They’re hiring data scientists expecting them to be data engineers. She stares at overly simplistic diagrams like the one shown in Figure 1 and can’t figure out why Bob can’t do the simple big data tasks. Conversely, most data scientists can’t, either.

Data Science 280

Data Science Big Data Management ROI 280

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Having chosen Amazon S3 as our storage layer, a key decision is whether to access Parquet files directly or use an open table format like Iceberg.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

AWS Big Data

MAY 20, 2024

Whether you are new to Apache Iceberg on AWS or already running production workloads on AWS, this comprehensive technical guide offers detailed guidance on foundational concepts to advanced optimizations to build your transactional data lake with Apache Iceberg on AWS. He can be reached via LinkedIn.

Data Lake 127

Data Lake Big Data Cost-Benefit Data Warehouse 127

AWS Big Data

OCTOBER 17, 2024

Whether you’re just getting started with searches , vectors, analytics, or you’re looking to optimize large-scale implementations, our channel can be your go-to resource to help you unlock the full potential of OpenSearch Service.

Analytics 115

Analytics Optimization Data-driven Data Architecture 115

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. Lakshmi Nair is a Senior Specialist Solutions Architect for Data Analytics at AWS.

IoT 111

IoT Machine Learning Metadata Data-driven 111

CIO Business Intelligence

DECEMBER 30, 2024

Key use cases include smart cities where AI will optimize energy consumption and traffic management, healthcare with AI-enhanced diagnostics and personalized treatments, and finance where AI will be pivotal in fraud detection and customer personalization.

IoT 105

IoT Digital Transformation Internet of Things Data-driven 105

AWS Big Data

JUNE 3, 2024

Amazon Kinesis Data Streams is used by many customers to capture, process, and store data streams at any scale. This level of unparalleled scale is enabled by dividing each data stream into multiple shards. Each shard in a stream has a 1 Mbps or 1,000 records per second write throughput limit.

Optimization 126

Optimization Metrics Data Processing Testing 126

AWS Big Data

AUGUST 7, 2024

Amazon OpenSearch Service securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and website search. In this post, we examine the OR1 instance type, an OpenSearch optimized instance introduced on November 29, 2023.

Optimization 114

Optimization Testing Management IT 114

CIO Business Intelligence

MARCH 26, 2025

G42, based in Abu Dhabi, UAE,is a global technology pioneer specializing in AI, digital infrastructure, and big data analytics. This collaboration will explore and implement transformative AI initiatives aimed at redefining patient care, enhancing medical innovation, and optimizing hospital operations.

Data-driven 64

Data-driven Optimization Big Data Data Analytics 64

AWS Big Data

NOVEMBER 7, 2024

The BladeBridge conversion process is optimized to work with each database object (for example, tables, views, and materialized views) and code object (for example, stored procedures and functions) stored in its own separate SQL file. He has helped customers build scalable data warehousing and big data solutions for over 16 years.

Data Warehouse 105

Data Warehouse Reporting Big Data Data Lake 105

AWS Big Data

DECEMBER 17, 2024

First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead. We have enhanced autonomics algorithms to generate and implement smarter and quicker optimal data layout recommendations for distribution and sort keys, further optimizing performance.

Data Lake 96

Data Lake Data Warehouse Data-driven Optimization 96