Cloudera

MARCH 31, 2021

One of our customers, Commerzbank, has used the CDP Public Cloud trial to prove that they can combine both Google Cloud and CDP to accelerate their migration to Google Cloud without compromising data security or governance. . Google Cloud Storage buckets – in the same subregion as your subnets .

Google Cloud 92

Google Cloud Cloud Amazon Web Services Cloud Storage 92

Cloudera

OCTOBER 26, 2020

*For clarity, the scope of the current certification covers CDP-Private Cloud Base. Certification of CDP-Private Cloud Experiences will be considered in the future. The certification process is designed to validate Cloudera products on a variety of Cloud, Storage & Compute Platforms.

Certification 86

Certification Cloud Kafka Unstructured Data 86

Big Data Tools

JUNE 8, 2022

And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. Kafka: Mark KRaft as Production Ready – One of the most interesting changes to Kafka from recent years is that it now works without ZooKeeper.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. Kafka: Mark KRaft as Production Ready – One of the most interesting changes to Kafka from recent years is that it now works without ZooKeeper.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

SEPTEMBER 15, 2020

Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage. makes all the richness and simplicity of Apache Ranger authorization available for access to ADLS-Gen2 cloud-storage. Cloudera Data Platform 7.2.1

Accessible 77

Accessible Accessibility Cloud Cloud Storage 77

Confluent

FEBRUARY 6, 2019

The blog posts How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka and Using Apache Kafka to Drive Cutting-Edge Machine Learning describe the benefits of leveraging the Apache Kafka ® ecosystem as a central, scalable and mission-critical nervous system. For now, we’ll focus on Kafka.

Machine Learning 106

Machine Learning Python Kafka Java 106

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

AUGUST 21, 2020

One is data at rest, for example in a data lake, warehouse, or cloud storage and from there they can do analytics on this data and that is predominantly around what has already happened or around how to prevent something from happening in the future.

Banking 61

Banking Kafka Cloud Storage Government 61

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. This architecture shows that simulated sensor data is ingested from MQTT to Kafka. The data in Kafka is analyzed with Spark Streaming API, and the data is stored in a column store called HBase. This is called Hot Path.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Edureka

FEBRUARY 9, 2023

This position requires knowledge of Microsoft Azure services such as Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Cosmos DB, and Azure Storage. A data engineer should be familiar with popular Big Data tools and technologies such as Hadoop, MongoDB, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Knowledge Hut

APRIL 25, 2023

Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. Apache Kafka Real-time data processing is supported by Apache Kafka , an open-source distributed activity streaming platform. Some of its key features are mentioned here.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Confluent

SEPTEMBER 20, 2019

As a distributed system for collecting, storing, and processing data at scale, Apache Kafka ® comes with its own deployment complexities. To simplify all of this, different providers have emerged to offer Apache Kafka as a managed service. Before Confluent Cloud was announced , a managed service for Apache Kafka did not exist.

Kafka 21

Kafka Management Cloud AWS 21

ProjectPro

DECEMBER 7, 2021

This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

MARCH 15, 2021

Using RocksDB’s remote compaction feature, only one replica performs indexing and compaction operations remotely in cloud storage. For each commonly used data source (for example S3, Kafka, MongoDB, DynamoDB, etc.), Because Rockset is a primary-less system, write operations are handled by a distributed log.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Rockset

JUNE 7, 2021

Reference Debezium Architecture To handle the queuing of changes, Debezium uses Kafka. The downside is that to use Debezium you also have to deploy a Kafka cluster so this should be weighed up when assessing your use case.

IT 40

IT Kafka Database MongoDB 40

ProjectPro

JANUARY 19, 2022

Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

MAY 31, 2021

This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. Snowflake Real-Time Data Warehouse Project for Beginners Snowflake provides a cloud-based analytics and data storage service called "data warehouse-as-a-service."

Big Data 52

Big Data Coding Project Hadoop 52