AWS Big Data

JANUARY 8, 2024

For example, you can use Amazon Kinesis Managed Service for Apache Flink for advanced streaming use cases with multiple streaming destinations and complex stateful stream processing or if you want to monitor business metrics in real time (such as every hour). Lambda is good for event-based and stateless processing.

Analytics 124

Analytics IoT Data-driven Snapshot 124

AWS Big Data

SEPTEMBER 5, 2024

Amazon Redshift , a warehousing service, offers a variety of options for ingesting data from diverse sources into its high-performance, scalable environment. He has over 14 years of experience in data and analytics, and helps customers design and build scalable and high-performant analytics solutions. Sudipta Bagchi is a Sr.

IoT 107

IoT Data Warehouse Cost-Benefit Reporting 107

Sisense

MAY 11, 2021

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!

Modeling 84

Modeling Big Data IoT Data Warehouse 84

AWS Big Data

NOVEMBER 14, 2023

Ten years ago, we launched Amazon Kinesis Data Streams , the first cloud-native serverless streaming data service, to serve as the backbone for companies, to move data across system boundaries, breaking data silos. Next, let’s go back to the NHL use case where they combine IoT, data streaming, and machine learning.

IoT 59

IoT Data-driven Data Lake Data Strategy 59

Alation

AUGUST 2, 2022

Establishing and monitoring metrics that validate improvements. Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics.

Cost-Benefit 52

Cost-Benefit Metrics Strategy Data Lake 52

AWS Big Data

JULY 17, 2024

In this blog post, we delve into the intricacies of building a reliable data analytics pipeline that can scale to accommodate millions of vehicles, each generating hundreds of metrics every second using Amazon OpenSearch Ingestion. As an immutable store, new data is continually stored in S3 while existing data remains unaltered.

Analytics 105

Analytics IoT Dashboards Data Lake 105

Corinium

APRIL 25, 2019

Life insurance needs accurate data on consumer health, age and other metrics of risk. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things).

Insurance 150

Insurance Risk IoT Data-driven 150

datapine

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. Before we delve deeper into the best books for data analytics, here are three big data insights to put their relevance and importance into perspective.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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. Enabling automatic compaction on Iceberg tables reduces metadata overhead on your Iceberg tables and improves query performance.

Data Lake 92

Data Lake IoT Metadata Testing 92