AWS Big Data

JULY 25, 2023

Today, in order to accelerate and scale data analytics, companies are looking for an approach to minimize infrastructure management and predict computing needs for different types of workloads, including spikes and ad hoc analytics. For Host , enter the Redshift Serverless endpoint’s host URL.

Data Analytics 52

Data Analytics Data Warehouse Analytics Data Processing 52

AWS Big Data

OCTOBER 31, 2023

With a data pipeline, which is a set of tasks used to automate the movement and transformation of data between different systems, you can reduce the time and effort needed to gain insights from the data. Apache Airflow and Snowflake have emerged as powerful technologies for data management and analysis.

Data Processing 86

Data Processing Management Publishing Testing 86

AWS Big Data

OCTOBER 18, 2023

To look for fraud, market manipulation, insider trading, and abuse, FINRA’s technology group has developed a robust set of big data tools in the AWS Cloud to support these activities. InstanceId[]' Go to the Amazon EC2 console and connect to the master node through the Session Manager. or later installed. Instances[].InstanceId[]'

Big Data 77

Big Data Data Processing Interactive Testing 77

AWS Big Data

JULY 20, 2023

Moreover, running advanced analytics and ML on disparate data sources proved challenging. To overcome these issues, Orca decided to build a data lake. By decoupling storage and compute, data lakes promote cost-effective storage and processing of big data.

Data Lake 83

Data Lake Analytics Snapshot Optimization 83

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. The Delta tables created by the EMR Serverless application are exposed through the AWS Glue Data Catalog and can be queried through Amazon Athena. Let’s refer to this S3 bucket as the raw layer.

Data Lake 79

Data Lake Dashboards Metrics Metadata 79

IBM Big Data Hub

JUNE 15, 2023

The data lakehouse architecture combines the flexibility, scalability and cost advantages of data lakes with the performance, functionality and usability of data warehouses to deliver optimal price-performance for a variety of data, analytics and AI workloads.

Data Warehouse 95

Data Warehouse Data Lake Optimization Data-driven 95

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85

Jet Global

MAY 1, 2023

They migrated to embedded analytics, and it changed their world. Now, Delta managers can get a full understanding of their data for compliance purposes. Additionally, with write-back capabilities, they can clear discrepancies and input data. Salesforce Account Managers use this to display and filter their report chart.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52