Cloudera

FEBRUARY 21, 2023

As an essential part of ETL, as data is being consolidated, we will notice that data from different sources are structured in different formats. It might be required to enhance, sanitize, and prepare data so that data is fit for consumption by the SQL engine. What is a data transformation?

Data Transformation 110

Data Transformation Data Processing Data Collection Publishing 110

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. This is something that you can learn more about in just about any technology blog.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

Cloudera

AUGUST 8, 2022

In June 2022, Cloudera announced the general availability of Apache Iceberg in the Cloudera Data Platform (CDP). 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 ).

Snapshot 91

Snapshot Data Warehouse Machine Learning Cost-Benefit 91

IBM Big Data Hub

APRIL 14, 2023

The implementation process was done in several stages, from January 2019 and until August 2022, with product profitability being added in the final phase. In August 2022, they implemented product profitability by allocating common costs at the product and channel level, which provided immediate management decision-making capabilities.

Forecasting 68

Forecasting Sales Dashboards Reporting 68

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 105

Data Lake Management Metrics Data Warehouse 105

DataKitchen

OCTOBER 5, 2022

DataOps Observability can help you ensure that your complex data pipelines and processes are accurate and that they deliver as designed. Observability also validates that your data transformations, models, and reports are performing as expected. to monitor your data operations. without replacing staff or systems?to

Testing 169

Testing Risk Data Processing Statistics 169

Cloudera

DECEMBER 21, 2021

This enabled new use-cases with customers that were using a mix of Spark and Hive to perform data transformations. . As exciting 2021 has been as we delivered killer features for our customers, we are even more excited for what’s in store in 2022. Figure 3: CDE Pipeline authoring UI. Happy New Year.

Snapshot 117

Snapshot Data-driven Optimization Management 117