Data Ingestion Java Relational Database 
Cloudera
FEBRUARY 9, 2021
If you are a database administrator or developer, you can start writing queries right-away using Apache Phoenix without having to wrangle Java code. . To store and access data in the operational database, you can do one of the following: Use native Apache HBase client APIs to interact with data in HBase: Use the HBase APIs for Java.
Rockset
OCTOBER 11, 2022
In this blog, we’ll compare and contrast how Elasticsearch and Rockset handle data ingestion as well as provide practical techniques for using these systems for real-time analytics. Logstash is an event processing pipeline that ingests and transforms data before sending it to Elasticsearch.
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Data Engineering Podcast
MAY 29, 2022
The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.
ProjectPro
OCTOBER 28, 2015
Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.
Confluent
OCTOBER 10, 2019
Kafka-native options to note for MQTT integration beyond Kafka client APIs like Java, Python,NET, and C/C++ are: Kafka Connect source and sink connectors , which integrate with MQTT brokers in both directions. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. and Connect and KSQL clusters.
Cloudera
JUNE 16, 2022
Faster data ingestion: streaming ingestion pipelines. Laila wants to use CSP but doesn’t have time to brush up on her Java or learn Scala, but she knows SQL really well. . Without context, streaming data is useless.”
Snowflake
JANUARY 18, 2023
But legacy systems and data silos prevent easy and secure data sharing. Snowflake can help life sciences companies query and analyze data easily, efficiently, and securely. To work with the VCF data, we first need to define an ingestion and parsing function in Snowflake to apply to the raw data files.
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