AWS Big Data

FEBRUARY 21, 2024

You can configure Amazon Redshift streaming ingestion on a Redshift cluster using SQL statements to authenticate and connect to an MSK topic. Finally, you configure an external schema and create a materialized view in Amazon Redshift, to consume the data from the MSK topic. Choose Browse , select msk-connect-logs , and choose Choose.

Analytics 104

Analytics Management Data-driven Data Integration 104

AWS Big Data

APRIL 20, 2023

Apache Spark is a popular framework that you can use to build applications for use cases such as ETL (extract, transform, and load), interactive analytics, and machine learning (ML). Amazon Redshift admins can easily identify the SQL generated from Spark-based applications. Choose Run to run the SQL statement.

Data Lake 73

Data Lake Data Warehouse Sales Data-driven 73

AWS Big Data

SEPTEMBER 29, 2023

By analyzing XML files, organizations can easily integrate data from different sources and ensure consistency across their systems, However, XML files contain semi-structured, highly nested data, making it difficult to access and analyze information, especially if the file is large and has complex, highly nested schema.

Metadata 66

Metadata Visualization Data-driven Optimization 66

AWS Big Data

MARCH 1, 2024

End users access this data using third-party SQL clients and business intelligence tools. AWS Lake Formation is used to control access to the external schemas and tables. Finally, grant usage for these external schemas to their Amazon Redshift roles. External schema’s are created as per data classification using iam_role.

Data Lake 96

Data Lake Data Warehouse Management Risk 96

AWS Big Data

JULY 27, 2023

For Enter S3 destination , enter or browse to a bucket in your account and Region. Select the format as CSV and choose Infer schema. Now the schema is listed on the Output schema tab using the file header. Select CSV format and infer the schema like you did with the other source. Choose the option File upload.

Visualization 78

Visualization Cost-Benefit Data Quality Interactive 78

AWS Big Data

MARCH 21, 2024

The data becomes available in Amazon Redshift within seconds, allowing you to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. Choose Create zero-ETL integration. Choose Next. Choose Next.

Data Warehouse 84

Data Warehouse Metrics Statistics Optimization 84

AWS Big Data

JUNE 28, 2023

The data becomes available in Amazon Redshift within seconds, allowing users to use the analytics features of Amazon Redshift and capabilities like data sharing, workload optimization autonomics, concurrency scaling, machine learning, and many more. For Aurora MySQL source cluster , browse and choose the source cluster zero-etl-source-ams.

Data Warehouse 81

Data Warehouse Analytics Metrics Dashboards 81

Alation

APRIL 14, 2022

Support for languages and SQL. Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning. Data pipeline orchestration. Collaboration and governance. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

JANUARY 21, 2021

The Data Lake also manages metadata persistence, so that you can preserve a single truth of shared data across various kinds of workloads (be it Data Warehouses, Machine Learning, or massive ETL pipelines) and independently spin up and down compute resources as needed. auto-suspend time, auto-scale triggers, etc). .

Data Lake 95

Data Lake Data Warehouse IT Analytics 95

Cloudera

DECEMBER 12, 2018

Greg Rahn: I first got introduced to SQL relational database systems while I was in undergrad. So, that’s kind of how I got introduced to databases and SQL systems. So, I think the prominent engines at the time for data processing on top of data residing in HDFS was Hive, and Hive was basically a SQL to MapReduce program.

Data Warehouse 42

Data Warehouse Marketing Big Data Data Lake 42

AWS Big Data

JULY 28, 2023

Today, tens of thousands of customers run business-critical workloads on Amazon Redshift to cost-effectively and quickly analyze their data using standard SQL and existing business intelligence (BI) tools. You no longer have to create an external schema in Amazon Redshift to use the data lake tables cataloged in the Data Catalog.

Data Lake 64

Data Lake Data Governance Data Warehouse Modeling 64