understanding-and-optimizing-your-kafka-costs-part-2-development-and-operations Blog Related Topics 
Knowledge Hut
SEPTEMBER 6, 2023
Let me help you understand more about big data certifications. Big Data Certification is essential for showcasing your expertise to your current or potential employer. It gives formal validation of your capabilities in Big Data. I personally feel such certifications have the potential to change your life.
Cloudera
SEPTEMBER 28, 2020
The customer had a few primary reasons for the upgrade: Utilize existing hardware resources and avoid the expensive resources, time and cost of adding new hardware for migrations. . Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. Cluster management and replication support for Kafka clusters.
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ProjectPro
DECEMBER 7, 2021
Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. To understand the working of a data pipeline, one can consider a pipe that receives input from a source that is carried to give output at the destination.
Data Engineering Weekly
DECEMBER 4, 2022
Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. 7 Predictions We are navigating a challenging economy which brings focus on optimizations a lot.
Cloudera
NOVEMBER 2, 2020
They built a RTDW using Cloudera to ensure a good customer experience and to keep maintenance costs under control. The factors driving this trend are part technical, part business, and part cultural. This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible.
Rockset
FEBRUARY 25, 2021
It’s difficult to create data analytics systems that can easily query across your various data sources while maintaining fast performance and real-time capabilities. Elasticsearch , originally developed for text search, has recently tried to push into the data analytics space. This can be a challenge, though.
ProjectPro
NOVEMBER 22, 2021
During the development phase, the team agreed on a blend of PyCharm for developing code and Jupyter for interactively running the code. Their team uses Python's unittest package and develops a task for each entity type to keep things simple and manageable (e.g., from 2019 to 2026, reaching $61.42 billion by 2026.
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