Analytics Vidhya

FEBRUARY 19, 2023

A well-designed data pipeline can help organizations extract valuable insights from their data, automate tedious manual processes, and ensure the accuracy of data processing.

Data-driven 241

Data-driven Data Processing Management Analytics 241

AWS Big Data

APRIL 25, 2024

Alternatively, you can use AWS Glue for Apache Spark, which provides built-in support for bucketing configurations during the data transformation process. One approach is to use the Amazon Athena CREATE TABLE AS SELECT (CTAS) statement, which allows you to create a bucketed table directly from a query.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

AWS Big Data

APRIL 25, 2023

The following AWS services are used for data ingestion, processing, and load: Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between SaaS applications like Salesforce, SAP, Marketo, Slack, and ServiceNow, and AWS services like Amazon S3 and Amazon Redshift , in just a few clicks.

Sales 72

Sales Visualization Software Marketing 72

IBM Big Data Hub

JANUARY 9, 2024

ELT tools such as IBM® DataStage® facilitate fast and secure transformations through parallel processing engines. In 2023, the average enterprise receives hundreds of disparate data streams, making efficient and accurate data transformations crucial for traditional and new AI model development.

Enterprise 72

Enterprise Data Integration Data Quality Contextual Data 72

AWS Big Data

NOVEMBER 15, 2023

The dashboards, which offer a holistic view together with a variety of cost and BMW Group-related dimensions, were successfully launched in May 2023 and became accessible to users within the BMW Group. The difference lies in when and where data transformation takes place.

Dashboards 95

Dashboards Analytics Metadata Data Warehouse 95

IBM Big Data Hub

MARCH 14, 2024

  Redefining cloud database innovation: IBM and AWS In late 2023, IBM and AWS jointly announced the general availability of Amazon relational database service (RDS) for Db2. This service streamlines data management for AI workloads across hybrid cloud environments and facilitates the scaling of Db2 databases on AWS with minimal effort.

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

IBM Big Data Hub

JULY 17, 2023

Real-time analytics and BI: Combine data from existing sources with new data to unlock new, faster insights without the cost and complexity of duplicating and moving data across different environments. The post Exploring the AI and data capabilities of watsonx appeared first on IBM Blog.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62