datapine

APRIL 14, 2022

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. Download our free summary outlining the best big data examples! Discover 10.

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

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

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 347

Big Data Data Science Publishing Optimization 347

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 67

Optimization Data Warehouse Data-driven Testing 67

Smart Data Collective

NOVEMBER 20, 2022

To develop effective and optimized strategies in this ever-changing marketplace, a smart marketer needs to know how to leverage technology. Enter Big Data. Although big data isn’t a new concept, it has become a sought-after technology in the last few years. . What Is Big Data? Keep reading.

Big Data 144

Big Data Sales Marketing B2B 144

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 123

Optimization Snapshot Metadata Metrics 123

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

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

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 129

Optimization Statistics Metadata Data Lake 129

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 127

Optimization Testing Data-driven Strategy 127

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 98

Optimization Data Lake Data Warehouse Cost-Benefit 98

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 Quality 300

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 107

Optimization Data Lake Management Key Performance Indicator 107

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

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 93

Data Lake Data Warehouse Cost-Benefit Data Transformation 93

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 370

Data Science Publishing Optimization Analytics 370

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

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 Data Integration 195

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 110

Optimization Metrics Data Processing Snapshot 110

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 103

Data Lake Data Warehouse Optimization Testing 103

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

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 102

Cost-Benefit Data-driven Software Testing 102

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 105

Data Architecture Optimization Data Warehouse Metadata 105

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 110

Metadata Snapshot Cost-Benefit Optimization 110

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

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 112

Analytics Optimization Data-driven Data Architecture 112

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 107

IoT Machine Learning Metadata Data-driven 107

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 124

Optimization Metrics Data Processing Testing 124

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 118

Data Lake Big Data Cost-Benefit Data Warehouse 118

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 103

Data Warehouse Reporting Big Data Data Lake 103

Rocket-Powered Data Science

JUNE 17, 2022

Here is a list of my top moments, learnings, and musings from this year’s Splunk.conf : Observability for Unified Security with AI (Artificial Intelligence) and Machine Learning on the Splunk platform empowers enterprises to operationalize data for use-case-specific functionality across shared datasets. is here, now!

Machine Learning 238

Machine Learning Recreation/Entertainment Risk Business Objectives 238

Smart Data Collective

APRIL 20, 2023

There are many ways businesses are using big data to make better decisions and operate more efficiently Organizations can use big data to optimize expenses and reduce costs. One of the many ways big data is helping companies operate more cost-effectively is through the construction of smart buildings.

Internet of Things 145

Internet of Things Cost-Benefit Big Data Data-driven 145