Cloudera

AUGUST 13, 2021

Whether it is consuming log files, sensor metrics, and other unstructured data, most enterprises manage and deliver data to the data lake and leverage various applications like ETL tools, search engines, and databases for analysis. What is the impact on the business?

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Snowflake

FEBRUARY 7, 2023

Next-gen product analytics is now warehouse-native, an architectural approach that allows for the separation of code and data. In this model, providers of next-gen product analytics maintain code for the analytical application as a connected app, while customers manage the data in their own cloud data platform.

BI 83

BI Building ETL Tools Data Warehouse 83

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka vs ETL. It’s quite common to see Kafka as a faster ETL.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Cloudera

JUNE 16, 2022

Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. . Reduce ingest latency and complexity: Multiple point solutions were needed to move data from different data sources to downstream systems.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Grouparoo

NOVEMBER 16, 2021

The critical benefit of transformation is that it allows analytical applications to efficiently access and process all data quickly and efficiently by eliminating issues before processing. To goal is to create a consistent and coherent dataset compatible with analytical applications and services.

Data Mining 52

Data Mining Raw Data ETL Tools Data 52

Edureka

JULY 3, 2024

This makes the data ready for consumption by BI tools, analytics applications, or other systems. Is Azure Data Factory an ETL tool? Yes, ADF is a highly efficient ETL (Extract, Transform, Load) tool. Manage Workflow: ADF manages these processes through time-sliced, scheduled pipelines.

Pipeline-centric 52

Pipeline-centric Data Lake Database-centric Data Pipeline 52

Knowledge Hut

DECEMBER 26, 2023

Given its status as one of the complete all-in-one analytics and BI systems available currently, the platform requires some getting accustomed to. Some key features include business intelligence, enterprise planning, and analytics application. You will also need an ETL tool to transport data between each tier.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52