IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

AWS Big Data

JUNE 6, 2023

These are six main steps in the data pipeline: Amazon EventBridge triggers an AWS Lambda function when the event pattern for AWS Glue Data Quality matches the defined rule. For more information, refer to Working with Query Results, Output Files, and Query History. For S3 path , enter the S3 path to your data source. (

Data Quality 74

Data Quality Metrics Visualization Dashboards 74

AWS Big Data

FEBRUARY 6, 2023

For more details on how to configure and schedule the log collector, refer to the yarn-log-collector GitHub repo. For more information on how to use the YARN log organizer, refer to the yarn-log-organizer GitHub repo. He also understands how to apply technologies to solve big data problems and build a well-designed data architecture.

Dashboards 78

Dashboards Optimization Data Lake Cost-Benefit 78

AWS Big Data

FEBRUARY 8, 2023

Test the connection with SAP using the wheel file. For more information, refer to Download and Installation of NW RFC SDK. For instructions, refer to Configuration basics. For instructions, refer to Configuration basics. Deenbandhu Prasad is a Senior Analytics Specialist at AWS, specializing in big data services.

Testing 73

Testing Data Integration Data Lake Enterprise 73

AWS Big Data

MARCH 28, 2023

As organizations across the globe are modernizing their data platforms with data lakes on Amazon Simple Storage Service (Amazon S3), handling SCDs in data lakes can be challenging.

Data Lake 73

Data Lake Testing Snapshot Sales 73

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 115

Data Lake Metadata Optimization Statistics 115

AWS Big Data

JULY 21, 2023

This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts. We recently announced the integration of Amazon Redshift data sharing with AWS Lake Formation. Take note of this role’s ARN to use later in the steps.

Data Lake 89

Data Lake Data Warehouse Marketing Management 89

Peter James Thomas

APRIL 3, 2020

She could only imagine what things would have been like if everybody was not using the same figures to flag potential problems, diagnose them, come up with solutions and test that the response was working. Without paying attention to this, your shiny warehouse or data lake will be a technological curiosity, not an indispensable business tool.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

NOVEMBER 13, 2023

Amazon Redshift is a fully managed data warehousing service that offers both provisioned and serverless options, making it more efficient to run and scale analytics without having to manage your data warehouse. Additionally, data is extracted from vendor APIs that includes data related to product, marketing, and customer experience.

Data Warehouse 94

Data Warehouse Data Lake Analytics Data Science 94

AWS Big Data

FEBRUARY 15, 2024

You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to define and manage the data access based on IdP identities. For Permission mode , select Lake Formation.

Management 92

Management Data Lake Sales Data Warehouse 92

AWS Big Data

NOVEMBER 29, 2023

For more information about performance improvement capabilities, refer to the list of announcements below. Amazon Redshift Serverless, generally available since 2021, allows you to run and scale analytics without having to provision and manage the data warehouse.

Data Warehouse 103

Data Warehouse Data Lake Analytics Machine Learning 103

DataKitchen

OCTOBER 11, 2021

First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. The data engineer then emails the BI Team, who refreshes a Tableau dashboard. Figure 1: Example data pipeline with manual processes. Figure 2: Example data pipeline with DataOps automation.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 87

Enterprise Data Warehouse Data Lake Optimization 87

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. But is it really?

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

SEPTEMBER 21, 2023

Integrating Satori with Amazon Redshift accelerates organizations’ ability to make use of their data to generate business value. This faster time-to-value is achieved by enabling companies to manage data access more efficiently and effectively. Then complete the following steps to connect to Amazon Redshift: Log in to Satori.

Data Warehouse 87

Data Warehouse Interactive Data Architecture Data Lake 87