Cloudera

SEPTEMBER 1, 2020

The Data Discovery and Exploration (DDE) template in CDP Data Hub was released as Tech Preview a few weeks ago. DDE is a new template flavor within CDP Data Hub in Cloudera’s public cloud deployment option (CDP PC). data best served through Apache Solr). data best served through Apache Solr). Prerequisites.

Cloud Storage 68

Cloud Storage Unstructured Data AWS Analytics Application 68

Knowledge Hut

MAY 31, 2023

This platform provides a range of IoT tools and technologies to help developers build and manage IoT systems, including device management, data processing, and analytics. Data processing of large volumes of data including real-time data processing, storage, and analysis. Zetta Zetta is a Node.js-based

Programming Language 52

Programming Language Electronics Java Programming 52

Knowledge Hut

JUNE 30, 2023

Key Benefits and Takeaways: Understand data intake strategies and data transformation procedures by learning data engineering principles with Python. Investigate alternative data storage solutions, such as databases and data lakes. Key Benefits and Takeaways: Learn the core concepts of big data systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

Rockset

MAY 17, 2022

The tradeoff of these first-generation SQL-based big data systems was that they boosted data processing throughput at the expense of higher query latency. Rockset is the leading real-time analytics platform built for the cloud, delivering fast analytics on real-time data with surprising efficiency.

SQL 52

SQL NoSQL Hadoop MongoDB 52

Workfall

JUNE 27, 2023

Commit Logs and Stream Processing: Kafka’s log-based storage and replayability make it ideal for stream processing use cases. Stay tuned to get all the updates about our upcoming blogs on the cloud and the latest technologies. How to orchestrate Queue-based Microservices with AWS Step Functions and Amazon SQS?

Kafka 75

Kafka Architecture AWS Transportation 75

ProjectPro

SEPTEMBER 6, 2021

Are you confused about choosing the best cloud platform for your next data engineering project ? AWS vs. GCP blog compares the two major cloud platforms to help you choose the best one. So, are you ready to explore the differences between two cloud giants, AWS vs. google cloud? Let’s get started!

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Rockset

FEBRUARY 24, 2023

It has expanded to various industries and applications, including IoT sensor data, financial data, web analytics, gaming behavioral data, and many more use cases. It supports various data processing models such as stream and batch processing (both covered in part 2 of this series), and complex event processing.

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

Cloudera

JUNE 16, 2022

Use cases like fraud detection, network threat analysis, manufacturing intelligence, commerce optimization, real-time offers, instantaneous loan approvals, and more are now possible by moving the data processing components up the stream to address these real-time needs. . Better yet, it works in any cloud environment.

Kafka 86

Kafka Manufacturing Data Lake SQL 86

U-Next

AUGUST 11, 2022

They save Corporate Costs: BI tools facilitate quicker strategy, analytics, and feedback control for anything from sales forecasting and consumer behavior assessment to real-time surveillance systems and offer improvement. Zoho Analytics. Zoho Analytics is one of the top BI tools for in-depth data processing and research.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40

phData: Data Engineering

JULY 18, 2023

With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever. First up, let’s dive into the foundation of every Modern Data Stack, a cloud-based data warehouse.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Cloudera

NOVEMBER 2, 2020

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. In addition to understanding the attributes of an RTDW, it is useful to look at the types of applications that can be built within the RTDW category.

Data Warehouse 94

Data Warehouse Kafka Lambda Architecture Telecommunication 94

Knowledge Hut

JULY 26, 2023

Database Application Providers- (Amazon, Facebook): Amazon and Facebook are two well-known organizations that offer comprehensive database application solutions. Amazon Web Services (AWS) provides a variety of cloud-based database services to meet a variety of needs. Columnar Database (e.g.- Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

AltexSoft

OCTOBER 21, 2022

A single cluster can span across multiple data centers and cloud facilities. This allows for easy horizontal scaling — just add new servers or data centers to your existing infrastructure to handle more amount of data. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

FEBRUARY 16, 2023

Additionally, SQL enables data engineers to perform data transformation tasks like data cleaning or aggregation from various data sources and loading data into data warehouses or other storage systems using simple SQL queries. They must load the raw data into a data warehouse for this analysis.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

JANUARY 31, 2023

Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. HBase storage is ideal for random read/write operations, whereas HDFS is designed for sequential processes. Data Processing: This is the final step in deploying a big data model. How to avoid the same.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

MAY 20, 2015

The company targets to deliver values to its customers through the free SaaS based analytics applications so that it can build credibility with the clients to encourage them to buy more. The products and services of Cloudera are changing the economics of big data analysis , BI, data processing and warehousing through Hadooponomics.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

FEBRUARY 11, 2021

Translate the machine learning models defined by data scientists from environments like Python and R notebooks to analytic applications. 3) Machine Learning Engineer vs Data Scientist You might hear the terms data scientist and machine learning engineer used interchangeably but these are two different job roles.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40