Cloudera

AUGUST 8, 2022

The general availability covers Iceberg running within some of the key data services in CDP, including Cloudera Data Warehouse ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). We see that as of the first snapshot ( 7445571238522489274) we had data from the years 1995 to 2005 in the table.

Snapshot 94

Snapshot Data Warehouse Machine Learning Cost-Benefit 94

Cloudera

DECEMBER 21, 2021

Today it’s used by many innovative technology companies at petabyte scale, allowing them to easily evolve schemas, create snapshots for time travel style queries, and perform row level updates and deletes for ACID compliance. This enabled new use-cases with customers that were using a mix of Spark and Hive to perform data transformations. .

Snapshot 118

Snapshot Data-driven Optimization Management 118

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 122

Data Lake Management Metrics Data Warehouse 122

AWS Big Data

JULY 26, 2023

Every time the business requirement changes (such as adding data sources or changing data transformation logic), you make changes on the AWS Glue app stack and re-provision the stack to reflect your changes. rename_field('id', 'org_id').rename_field('name',

Data Integration 97

Data Integration Snapshot Testing Visualization 97

Cloudera

AUGUST 3, 2022

Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. . Within CDP, Shared Data Experience (SDX) provides centralized governance, security, cataloging, and lineage. val session = com.hortonworks.hwc.HiveWarehouseSession.session(spark).build().

Snapshot 90

Snapshot Cost-Benefit Machine Learning Data Science 90

AWS Big Data

JANUARY 17, 2024

The following are some highlighted steps: Run a snapshot query. %%sql You also can use transactional data lake features such as running snapshot queries, incremental queries, time travel, and DML query. Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS. You can now follow the steps in the notebook.

Data Lake 116

Data Lake Snapshot Big Data Data-driven 116

AWS Big Data

AUGUST 1, 2024

As data volumes continue to grow exponentially, traditional data warehousing solutions may struggle to keep up with the increasing demands for scalability, performance, and advanced analytics. However, you might face significant challenges when planning for a large-scale data warehouse migration.

Data Warehouse 115

Data Warehouse KPI Optimization Cost-Benefit 115

AWS Big Data

MARCH 16, 2023

Amazon Redshift is a fully managed data warehouse service that tens of thousands of customers use to manage analytics at scale. Together with price-performance , Amazon Redshift enables you to use your data to acquire new insights for your business and customers while keeping costs low.

Data Warehouse 52

Data Warehouse Testing Snapshot Modeling 52

AWS Big Data

MARCH 3, 2023

In this post, we share how the AWS Data Lab helped Tricentis to improve their software as a service (SaaS) Tricentis Analytics platform with insights powered by Amazon Redshift. While aggregating, summarizing, and aligning to a common information model, all transformations must not affect the integrity of data from its source.

Software 52

Software Data Lake Testing Cost-Benefit 52

AWS Big Data

JANUARY 27, 2023

The AWS Glue Data Catalog provides a uniform repository where disparate systems can store and find metadata to keep track of data in data silos. Apache Flink is a widely used data processing engine for scalable streaming ETL, analytics, and event-driven applications. Transformed data can be stored in Amazon S3.

Data Lake 88

Data Lake Metadata Business Analysis Data-driven 88

AWS Big Data

MARCH 3, 2023

You can then apply transformations and store data in Delta format for managing inserts, updates, and deletes. Amazon EMR Serverless is a serverless option in Amazon EMR that makes it easy for data analysts and engineers to run open-source big data analytics frameworks without configuring, managing, and scaling clusters or servers.

Data Lake 98

Data Lake Dashboards Metrics Metadata 98

Jet Global

NOVEMBER 7, 2023

The Challenges of Extracting Enterprise Data Currently, various use cases require data extraction from your OCA ERP, including data warehousing, data harmonization, feeding downstream systems for analytical or operational purposes, leveraging data mining, predictive analysis, and AI-driven or augmented BI disciplines.

Enterprise 52

Enterprise Data Warehouse Operational Reporting Reporting 52

AWS Big Data

FEBRUARY 18, 2025

To optimize their security operations, organizations are adopting modern approaches that combine real-time monitoring with scalable data analytics. They are using data lake architectures and Apache Iceberg to efficiently process large volumes of security data while minimizing operational overhead.

Snapshot 80

Snapshot Optimization Data Lake Metadata 80

AWS Big Data

NOVEMBER 6, 2024

Iceberg brings the reliability and simplicity of SQL tables to Amazon Simple Storage Service (Amazon S3) data lakes. For example, you can write some records using a batch ETL Spark job and other data from a Flink application at the same time and into the same table. In Transform records , select Turn on data transformation.

Metadata 116

Metadata Data Lake Management Internet of Things 116

AWS Big Data

APRIL 28, 2025

The architecture at NI followed the commonly used medallion architecture, comprised of a bronze-silver-gold layered framework, shown in the figure that follows: Bronze layer : Unprocessed data from various sources, stored in its raw format in Amazon Simple Storage Service (Amazon S3) , ingested through Apache Kafka brokers.

Data Lake 69

Data Lake Metadata Cost-Benefit Snapshot 69

DataKitchen

JANUARY 23, 2023

To capture a more complete picture of the data’s journey, it is important to have a DataOps Observability system in place. Data lineage is static and often lags by weeks or months. Data lineage is often considered static because it is typically based on snapshots of data and metadata taken at a specific time.

Testing 130

Testing Data Governance Data Quality Data-driven 130