Knowledge Hut

APRIL 25, 2023

An end-to-end Data Science pipeline starts from business discussion to delivering the product to the customers. One of the key components of this pipeline is Data ingestion. It helps in integrating data from multiple sources such as IoT, SaaS, on-premises, etc., What is Data Ingestion?

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Team Data Science

MAY 10, 2020

I can now begin drafting my data ingestion/ streaming pipeline without being overwhelmed. With careful consideration and learning about your market, the choices you need to make become narrower and more clear.

Data Pipeline 130

Data Pipeline Data Ingestion AWS Kafka 130

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

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Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. In this blog, we’ll walk through the benchmark framework, configuration and results. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams.

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Snowflake

JUNE 13, 2024

But at Snowflake, we’re committed to making the first step the easiest — with seamless, cost-effective data ingestion to help bring your workloads into the AI Data Cloud with ease. Like any first step, data ingestion is a critical foundational block. Ingestion with Snowflake should feel like a breeze.

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databricks

MAY 23, 2024

We're excited to announce native support in Databricks for ingesting XML data. XML is a popular file format for representing complex data.

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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. That’s because Elasticsearch can only write data to one index.

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Cloudera

MAY 19, 2021

In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. Data Ingestion. The raw data is in a series of CSV files. We will firstly convert this to parquet format as most data lakes exist as object stores full of parquet files.

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Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Conclusion.

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Data Engineering Weekly

JULY 7, 2024

Experience Enterprise-Grade Apache Airflow Astro augments Airflow with enterprise-grade features to enhance productivity, meet scalability and availability demands across your data pipelines, and more. Hudi seems to be a de facto choice for CDC data lake features. Notion migrated the insert heavy workload from Snowflake to Hudi.

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Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

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Database Java SQL Data Ingestion 104

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

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Cloudera

FEBRUARY 8, 2021

Future connected vehicles will rely upon a complete data lifecycle approach to implement enterprise-level advanced analytics and machine learning enabling these advanced use cases that will ultimately lead to fully autonomous drive. This author is passionate about industry 4.0,

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Cloudera

NOVEMBER 1, 2023

The connector makes it easy to update the LLM context by loading, chunking, generating embeddings, and inserting them into the Pinecone database as soon as new data is available. High-level overview of real-time data ingest with Cloudera DataFlow to Pinecone vector database.

Machine Learning 111

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Cloudera

AUGUST 4, 2021

Factors to be considered in when implementing a predictive maintenance solution: Complexity: Predictive maintenance platforms must enable real-time analytics on streaming data, ingesting, storing, and processing streaming data to instantly deliver insights.

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Cloudera

DECEMBER 14, 2021

The Roads and Transport Authority (RTA) operating in Dubai wanted to apply big data capabilities to transportation and enhance travel efficiency. For this, the RTA transformed its data ingestion and management processes. . The post AI and ML: No Longer the Stuff of Science Fiction appeared first on Cloudera Blog.

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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.

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Pinterest Engineering

NOVEMBER 7, 2023

Jeff Xiang | Software Engineer, Logging Platform Vahid Hashemian | Software Engineer, Logging Platform Jesus Zuniga | Software Engineer, Logging Platform At Pinterest, data is ingested and transported at petabyte scale every day, bringing inspiration for our users to create a life they love.

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Cloudera

OCTOBER 15, 2020

About this Blog. Data Discovery and Exploration (DDE) was recently released in tech preview in Cloudera Data Platform in public cloud. In this blog we will go through the process of indexing data from S3 into Solr in DDE with the help of NiFi in Data Flow. Spark as the ingest pipeline tool for Search (i.e.

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Data Engineering Podcast

JUNE 19, 2022

report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. In fact, while only 3.5% That’s where our friends at Ascend.io

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DataKitchen

MAY 10, 2024

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data Evaluation Before new data sets are introduced into production environments, they must be thoroughly evaluated and cleaned.

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Cloudera

DECEMBER 9, 2024

Image: The Smart Logistics Assistant demonstrates how Cloudera AI Inference and solution pattern can streamline operations with real-time data, enhancing decision-making and efficiency. ReadyFlows(NiFi) : Clouderas ReadyFlows are pre-designed data pipelines for various use cases, reducing complexity in data ingestion and transformation.

Professional Services 75

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Netflix Tech

JANUARY 25, 2023

We will cover more details on Semantic Search support in a future blog article. To keep the latency low, we have to make sure that all the annotation indices are balanced, and hotspot is not created with any algorithm backfill data ingestion for the older movies. We support semantic search using Open Distro for ElasticSearch .

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Christophe Blefari

MARCH 4, 2023

I'll try to think about it in the following weeks to understand where I go for the third year of the newsletter and the blog. After last week question about your consideration of a paying subscription I got a few feedbacks and it helped me a lot realise how you see the newsletter and what it means for a you. So thank you for that.

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Cloudera

AUGUST 11, 2022

Universal Data Distribution Solves DoD Data Transport Challenges. These requirements could be addressed by a Universal Data Distribution (UDD) architecture. UDD provides the capability to connect to any data source anywhere, with any structure, process it, and reliably deliver prioritized sensor data to any destination.

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Transportation Data Ingestion Architecture Data 95

Cloudera

JULY 9, 2021

Use the right tools: Organizations must command and control the entire data lifecycle, from initial data ingest to AI/ML based analysis to acting decisively on data-driven intelligence derived from newfound, cloud-enabled impact, the right capabilities produce the holistic, coherent view that drives organizations to the cloud in the first place.

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Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Manufacturing Data Collection Data Science 98

Cloudera

APRIL 20, 2021

A modern streaming architecture consists of critical components that provide data ingestion, security and governance, and real-time analytics. The three fundamental parts of the architecture are: Data ingestion that acquires the data from different streaming sources and orchestrates and augments the data from other sources.

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Cloudera

NOVEMBER 17, 2020

The data and the techniques presented in this prototype are still applicable as creating a PCA feature store is often part of the machine learning process. . The process followed in this prototype covers several steps that you should follow: Data Ingest – move the raw data to a more suitable storage location.

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Cloudera

FEBRUARY 15, 2024

Data integration and ingestion: With robust data integration capabilities, a modern data architecture makes real-time data ingestion from various sources—including structured, unstructured, and streaming data, as well as external data feeds—a reality.

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Snowflake

APRIL 18, 2024

This blog post explores how Snowflake can help with this challenge. Legacy SIEM cost factors to keep in mind Data ingestion: Traditional SIEMs often impose limits to data ingestion and data retention. But what if security teams didn’t have to make tradeoffs?

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Cloudera

APRIL 15, 2019

While Cloudera Flow Management has been eagerly awaited by our Cloudera customers for use on their existing Cloudera platform clusters, Cloudera Edge Management has generated equal buzz across the industry for the possibilities that it brings to enterprises in their IoT initiatives around edge management and edge data collection.

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Cloudera

DECEMBER 4, 2024

For more than a decade, Cloudera has been an ardent supporter and committee member of Apache NiFi, long recognizing its power and versatility for data ingestion, transformation, and delivery. and discover how it can transform your data pipelines, watch this video.

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Snowflake

OCTOBER 16, 2024

For organizations who are considering moving from a legacy data warehouse to Snowflake, are looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or are struggling with a cloud data warehouse that just isn’t scaling anymore, it often helps to see how others have done it.

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Cloudera

OCTOBER 13, 2021

Read the book to find out what they mean, and why NiFi is an essential tool for data ingestion and movement. Don’t know what data ingestion is? Hint: Data ingestion is the process of consuming excessively large volumes of data easily to enable enterprise analytics or to feed into ML models. .

Machine Learning 76

Machine Learning Data Ingestion Algorithm Technology 76

phData: Data Engineering

MARCH 8, 2023

Fivetran, a cloud-based automated data integration platform, has emerged as a leading choice among businesses looking for an easy and cost-effective way to unify their data from various sources. At phData, we regularly use Fivetran for data ingestion as a part of our data migration projects.

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Cloudera

AUGUST 13, 2021

By modernizing the data flow, the enterprise got better insights into the business. They also reduced terabytes of data ingestion, which significantly brought down the infrastructure and licensing costs by 30%. Make a move to Cloudera Edge and Flow Management. Learn more about Cloudera Edge and Flow Management.

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