Snowflake

APRIL 19, 2023

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake. What is Snowpipe Streaming?

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databricks

MARCH 29, 2024

Overview In the competitive world of professional hockey, NHL teams are always seeking to optimize their performance. Advanced analytics has become increasingly important.

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Analytics Vidhya

MARCH 7, 2023

Introduction Apache Flume is a tool/service/data ingestion mechanism for gathering, aggregating, and delivering huge amounts of streaming data from diverse sources, such as log files, events, and so on, to centralized data storage. Flume is a tool that is very dependable, distributed, and customizable.

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Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

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Hevo

APRIL 26, 2024

To accommodate lengthy processes on such data, companies turn toward Data Pipelines which tend to automate the work of extracting data, transforming it and storing it in the desired location. In the working of such pipelines, Data Ingestion acts as the […]

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Striim

NOVEMBER 13, 2023

Introduction In the fast-evolving world of data integration, Striim’s collaboration with Snowflake stands as a beacon of innovation and efficiency. Striim’s integration with Snowpipe Streaming represents a significant advancement in real-time data ingestion into Snowflake.

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Monte Carlo

MAY 28, 2024

A data ingestion architecture is the technical blueprint that ensures that every pulse of your organization’s data ecosystem brings critical information to where it’s needed most. A typical data ingestion flow. Popular Data Ingestion Tools Choosing the right ingestion technology is key to a successful architecture.

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Analytics Vidhya

FEBRUARY 20, 2023

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

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Snowflake

MARCH 2, 2023

This solution is both scalable and reliable, as we have been able to effortlessly ingest upwards of 1GB/s throughput.” Rather than streaming data from source into cloud object stores then copying it to Snowflake, data is ingested directly into a Snowflake table to reduce architectural complexity and reduce end-to-end latency.

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KDnuggets

JULY 29, 2024

Learn to build the end-to-end data science pipelines from data ingestion to data visualization using Pandas pipe method.

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Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

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Hevo

JUNE 20, 2024

As data collection within organizations proliferates rapidly, developers are automating data movement through Data Ingestion techniques. However, implementing complex Data Ingestion techniques can be tedious and time-consuming for developers.

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Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. 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. Why measure streaming data ingestion? Rockset was able to achieve up to 2.5x

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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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Hevo

APRIL 19, 2024

A fundamental requirement for any data-driven organization is to have a streamlined data delivery mechanism. With organizations collecting data at a rate like never before, devising data pipelines for adequate flow of information for analytics and Machine Learning tasks becomes crucial for businesses.

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KDnuggets

SEPTEMBER 1, 2023

This article describes a large-scale data warehousing use case to provide reference for data engineers who are looking for log analytic solutions. It introduces the log processing architecture and real-case practice in data ingestion, storage, and queries.

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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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Hevo

JULY 5, 2024

Managing data ingestion from Azure Blob Storage to Snowflake can be cumbersome. But what if you could automate the process, ensure data integrity, and leverage real-time analytics? Manual processes lead to inefficiencies and potential errors while also increasing operational overhead.

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Hevo

JULY 17, 2024

Every data-centric organization uses a data lake, warehouse, or both data architectures to meet its data needs. Data Lakes bring flexibility and accessibility, whereas warehouses bring structure and performance to the data architecture.

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Team Data Science

JUNE 6, 2020

Welcome back to this Toronto Specific data engineering project. We left off last time concluding finance has the largest demand for data engineers who have skills with AWS, and sketched out what our data ingestion pipeline will look like. I began building out the data ingestion pipeline by launching an EC2 instance.

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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.

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KDnuggets

APRIL 29, 2022

Top-rated data science tracks consist of multiple project-based courses covering all aspects of data. It includes an introduction to Python/R, data ingestion & manipulation, data visualization, machine learning, and reporting.

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Hevo

JUNE 20, 2024

The surge in Big Data and Cloud Computing has created a huge demand for real-time Data Analytics. Companies rely on complex ETL (Extract Transform and Load) Pipelines that collect data from sources in the raw form and deliver it to a storage destination in a form suitable for analysis.

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Data Engineering Podcast

NOVEMBER 20, 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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KDnuggets

APRIL 13, 2022

Python Libraries Data Scientists Should Know in 2022; Naïve Bayes Algorithm: Everything You Need to Know; Data Ingestion with Pandas: A Beginner Tutorial; Data Science Interview Guide - Part 1: The Structure; 5 Ways to Expand Your Knowledge in Data Science Beyond Online Courses.

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Algorithm Python Data Ingestion Data Science 108

Snowflake

JANUARY 9, 2024

Data cloud integration: This comprehensive solution begins with the Snowflake Data Cloud as a persistent data layer, which makes data more accessible for organizations to get started with the platform. Data ingestion: Hakkoda leads the entire data ingestion process.

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databricks

MAY 31, 2023

Data ingestion into the Lakehouse can be a bottleneck for many organizations, but with Databricks, you can quickly and easily ingest data of.

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Cloudera

JANUARY 20, 2021

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Conclusion.

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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.

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Towards Data Science

FEBRUARY 3, 2024

On a scale from 1 to 10 how good are your data ingestion skills? Continue reading on Towards Data Science »

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Snowflake

MARCH 14, 2024

Customers can process changed data once or twice a day — or at whatever cadence they prefer — to the main table. SNP has been able to provide customers with a 10x cost reduction in Snowflake data processing associated with SAP data ingestion.

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Snowflake

OCTOBER 3, 2023

We are excited to announce the availability of data pipelines replication, which is now in public preview. In the event of an outage, this powerful new capability lets you easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake with minimal downtime.

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Lyft Engineering

NOVEMBER 29, 2023

Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

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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

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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Snowflake

FEBRUARY 13, 2024

Python developers can start increasing the impact of their work by building apps that bridge the gap between data and actionable insights for business teams — without adding any ops burden to IT teams. Learn more here.

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Snowflake

JUNE 4, 2024

Faster, easier ingest To make data ingestion even more cost effective and effortless, Snowflake is announcing performance improvements of up to 25% for loading JSON files, and for loading Parquet files, up to 50%. Getting data ingested now only takes a few clicks, and the data is encrypted.

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