AWS Big Data

MARCH 17, 2023

Amazon Athena is a serverless and interactive query service that allows you to easily analyze data in Amazon Simple Storage Service (Amazon S3) and 25-plus data sources, including on-premises data sources or other cloud systems using SQL or Python. H3 divides the globe into equal-sized regular hexagons.

Visualization 89

Visualization Machine Learning Consulting Data Warehouse 89

Cloudera

FEBRUARY 14, 2024

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. Iceberg doesn’t delete the old data files.

Strategy 57

Strategy Optimization Snapshot Metadata 57

AWS Big Data

JULY 28, 2023

Apache Flink and Apache Spark are both open-source, distributed data processing frameworks used widely for big data processing and analytics. Spark is known for its ease of use, high-level APIs, and the ability to process large amounts of data. To learn more about Flink’s layered APIs, refer to layered APIs.

Data Processing 79

Data Processing Big Data Data Quality Technology 79

AWS Big Data

JULY 21, 2023

Data-driven organizations treat data as an asset and use it across different lines of business (LOBs) to drive timely insights and better business decisions. This leads to having data across many instances of data warehouses and data lakes using a modern data architecture in separate AWS accounts.

Data Lake 82

Data Lake Data Warehouse Marketing Management 82

Smart Data Collective

AUGUST 12, 2022

To learn more about both, just keep reading. However, if a CPU has features like reduced latency, increased data throughput, subcycling, multiple threading, or multiple cores, this could make it more efficient than other processors that technically have a faster clock speed. MS SQL Server. trillion on cloud services in 2030.

Strategy 78

Strategy Optimization Data Processing Management 78

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases. Diversity of workloads.

Metadata 89

Metadata Big Data Optimization Unstructured Data 89

Sisense

APRIL 9, 2021

The amount of data being generated and stored every day has exploded. Companies of all kinds are sitting on stockpiles of data that could someday prove valuable. Until then though, they don’t necessarily want to spend the time and resources necessary to create a schema to house this data in a traditional data warehouse.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Structured Data 52