AWS Big Data

MARCH 2, 2023

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

Data Lake 120

Data Lake Data Processing Metadata Snapshot 120

AWS Big Data

JUNE 14, 2023

As a team of engineers focused on building a single source of truth within Amazon, we wanted a BI tool that was cost-effective, secure, and integrated seamlessly with the other AWS services we use. The teams we serve have benefited from our switch to QuickSight. We also helped 13 Amazon teams to set up their own instances.

Dashboards 78

Dashboards KPI Scorecard Metadata 78

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

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

AWS Big Data

APRIL 25, 2024

This can be attributed to factors such as inefficient data layout, resulting in excessive data scanning and inefficient use of compute resources. To address this challenge, common practices like partitioning and bucketing can significantly improve query performance and reduce computation costs.

Optimization 65

Optimization Data Lake Cost-Benefit Reporting 65

AWS Big Data

DECEMBER 21, 2023

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Cloudera

JUNE 18, 2022

In order to realize the benefits of both worlds — flexibility of analytics in data lakes, and simple and fast SQL in data warehouses — companies often deployed data lakes to complement their data warehouses, with the data lake feeding a data warehouse system as the last step of an extract, transform, load (ETL) or ELT pipeline.

Data Lake 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

CIO Business Intelligence

JUNE 23, 2022

In order to realize the benefits of both worlds—flexibility of analytics in data lakes, and simple and fast SQL in data warehouses—companies often deployed data lakes to complement their data warehouses, with the data lake feeding a data warehouse system as the last step of an extract, transform, load (ETL) or ELT pipeline.

Data Lake 84

Data Lake Data Warehouse Machine Learning Cost-Benefit 84

IBM Big Data Hub

MAY 9, 2022

Data privacy laws such as the GDPR in the EU, CCPA in California and PIPEDA in Canada have been enacted at the same time businesses are revitalizing efforts to establish data quality, not just data volume. The cost of ignoring these imperatives is staggering. Poor data quality costs organizations an average of $12.9

Management 56

Management Data Quality Metadata Data Integration 56