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.

Data Ingestion 113

Data Ingestion MySQL PostgreSQL Data Pipeline 113

Edureka

APRIL 9, 2025

Companies with expertise in Microsoft Fabric are in high demand, including Microsoft, Accenture, AWS, and Deloitte Are you prepared to influence the data-driven future? Let’s examine the requirements for becoming a Microsoft Fabric Engineer, starting with the knowledge and credentials discussed in this blog.

Engineering 40

Engineering Data Ingestion Data Lake Programming Language 40

Data Engineering Podcast

JUNE 19, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Metadata 130

Metadata MongoDB MySQL Scala 130

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. For AWS this means at least P3 instances. Data Ingestion. The raw data is in a series of CSV files. Introduction. P2 GPU instances are not supported. Register Now. .

Machine Learning 137

Machine Learning Data Science Datasets Raw Data 137

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. AWS lambdas are still on Python 3.9 — Corey rant about AWS lambdas that are still using Python 3.9 So thank you for that. Stay tuned and let's jump to the content.

Machine Learning 130

Machine Learning Data AWS Data Lake 130

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.

Digital Media 103

Digital Media Media Data Lake Data Warehouse 103

Edureka

AUGUST 23, 2024

The accuracy of decisions improves dramatically once you can use live data in real-time. The AWS training will prepare you to become a master of the cloud, storing, processing, and developing applications for the cloud data. Amazon AWS Kinesis makes it possible to process and analyze data from multiple sources in real-time.

AWS 52

AWS Kafka Amazon Web Services Medical 52

Cloudera

AUGUST 26, 2021

In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store.

Data Science 113

Data Science Cloud Hadoop Metadata 113

Edureka

JULY 16, 2024

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. Amazon SageMaker, an AWS-managed AI service, is created to support enterprises on this journey and make it efficient and easy. Table of Content What is Amazon SageMaker?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

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 107

Machine Learning Python Kafka Java 107

Cloudera

FEBRUARY 10, 2022

After the launch of Cloudera DataFlow for the Public Cloud (CDF-PC) on AWS a few months ago, we are thrilled to announce that CDF-PC is now generally available on Microsoft Azure, allowing NiFi users on Azure to run their data flows in a cloud-native runtime. . Data Ingest for Microsoft Sentinel .

Cloud 116

Cloud Kafka AWS Data Ingestion 116

Knowledge Hut

MARCH 19, 2024

AWS is the gold standard of Cloud Computing and has some reasons for it. It offers more than 170 AWS services to the developers so they can use them from anywhere when required. AWS Applications provide many services, from storage to serverless computing, and can be tailored to meet diverse business requirements. What is AWS?

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Cloudera

MARCH 31, 2021

In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka). Data Preparation (Apache Spark and Apache Hive) . Analyze static (Apache Impala) and streaming (Apache Flink) data.

Google Cloud 94

Google Cloud Cloud Amazon Web Services Cloud Storage 94

Lyft Engineering

NOVEMBER 29, 2023

In this particular blog post, we explain how Druid has been used at Lyft and what led us to adopt ClickHouse for our sub-second analytic system. 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.

Kafka 109

Kafka Data Ingestion Architecture Datasets 109

Pinterest Engineering

OCTOBER 23, 2024

In this blog, we’ll be covering the challenges and corresponding solutions that enable us to migrate thousands of Spark applications from Monarch to Moka while maintaining resource efficiency and a high quality of service. At the time of writing this blog, we have migrated half of the Spark workload running on Monarch to Moka.

AWS 59

AWS Hadoop Management Algorithm 59

phData: Data Engineering

NOVEMBER 8, 2024

Open Table Format (OTF) architecture now provides a solution for efficient data storage, management, and processing while ensuring compatibility across different platforms. In this blog, we will discuss: What is the Open Table format (OTF)? Delta Lake became popular for making data lakes more reliable and easy to manage.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Data Engineering Podcast

JULY 10, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend automates workloads on Snowflake, Databricks, BigQuery, and open source Spark, and can be deployed in AWS, Azure, or GCP.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Cloudera

AUGUST 26, 2020

All of these happen continuously and repetitively on a daily basis, amounting to petabytes worth of information and data. This requires massive amounts of data ingestion, messaging, and processing within a data-in-motion context. From a data ingestion standpoint, NiFi is designed for this purpose.

Banking 84

Banking Data Ingestion Kafka Data Lake 84

Towards Data Science

JANUARY 26, 2023

AWS, for example, offers services such as Amazon FSx and Amazon EFS for mirroring your data in a high-performance file system in the cloud. AI Store offers a kubernetes -based solution for a lightweight storage stack adjacent to the data consuming applications. client('s3') s3.upload_file('2GB.bin',

Cloud Storage 98

Cloud Storage Big Data Cloud AWS 98

Snowflake

SEPTEMBER 13, 2023

Snowpark External Access – public preview External Access is in public preview on AWS regions. Users can now easily connect to external network locations, including external LLMs, from their Snowpark code while maintaining high security and governance over their data. Learn more here.

Python 102

Python SQL Data Pipeline Data Ingestion 102

Netflix Tech

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” As a result, a single consolidated and centralized source of truth does not exist that can be leveraged to derive data lineage truth. push or pull.

Building 92

Building Metadata Transportation Data Ingestion 92

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Faster data ingestion: streaming ingestion pipelines. In subsequent blogs, we’ll deep dive into use cases across a number of verticals and discuss how they were implemented using CSP. Conclusion. Not to worry.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. The data read queries took an increasingly longer time to finish because ElasticSearch clusters were using heavy compute resources for creating indexes on ingested traces. —?which is difficult when troubleshooting distributed systems.

Building 96

Building Transportation Java Metadata 96

Cloudera

SEPTEMBER 28, 2020

Lineage and chain of custody, advanced data discovery and business glossary. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. Install documentation.

Cloud 132

Cloud Kafka Professional Services Metadata 132

Confluent

MAY 22, 2019

Since MQTT is designed for low-power and coin-cell-operated devices, it cannot handle the ingestion of massive datasets. On the other hand, Apache Kafka may deal with high-velocity data ingestion but not M2M. Note: If you are choosing to use Scylla in a different environment like AWS or bare-metal, start here.

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

Edureka

FEBRUARY 9, 2023

As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform. As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP.

Cloud 80

Cloud Metadata Data Warehouse Google Cloud 80

Ascend.io

DECEMBER 21, 2022

21, 2022 – Ascend.io , The Data Automation Cloud, today announced they have partnered with Snowflake , the Data Cloud company, to launch Free Ingest , a new feature that will reduce an enterprise’s data ingest cost and deliver data products up to 7x faster by ingesting data from all sources into the Snowflake Data Cloud quickly and easily.

Data Ingestion 52

Data Ingestion Google Cloud Data Lake Cloud 52

Cloudyard

MARCH 4, 2023

DCDW Architecture Above all, Architecture was divided into three Business layers: Firstly,Agile Data ingestion : Heterogeneous Source System fed the data into Cloud. Respective Cloud would consume/Store the data in bucket or containers. Load the data AS-IS into Snowflake called RAW layer.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

ProjectPro

AUGUST 24, 2021

Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. And, out of these professions, this blog will discuss the data engineering job role.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Rockset

JANUARY 26, 2023

The goal of this blog post is to provide best practices on how to use terraform to configure Rockset to ingest the data into two collections, and how to setup a view and query lambdas that are used in an application, plus to show the workflow of later updating the query lambdas. Create a file called _provider.tf

AWS 52

AWS SQL Datasets Kafka 52

Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Monte Carlo

JUNE 2, 2024

Databases and Data Warehousing: Engineers need in-depth knowledge of SQL (88%) and NoSQL databases (71%), as well as data warehousing solutions like Hadoop (61%). Cloud Platforms: Understanding cloud services from providers like AWS (mentioned in 80% of job postings), Azure (66%), and Google Cloud (56%) is crucial.

Engineering 52

Engineering Amazon Web Services Data Science AWS 52

Snowflake

MARCH 30, 2023

Data Vault as a practice does not stipulate how you transform your data, only that you follow the same standards to populate business vault link and satellite tables as you would to populate raw vault link and satellite tables. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

Engineering 104

Engineering Raw Data Data Science Machine Learning 104

Netflix Tech

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. Merge As the data lands into the data warehouse through real-time data ingestion systems, it comes in different sizes.

Data Warehouse 88

Data Warehouse Metadata Algorithm Data 88

ProjectPro

FEBRUARY 21, 2023

AWS or Azure? With so many data engineering certifications available , choosing the right one can be a daunting task. They also demonstrate to potential employers that the individual possesses the skills and knowledge to create and implement business data strategies. Why Are Data Engineering Skills In Demand?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Pinterest Engineering

AUGUST 18, 2022

It involves data migration from HBase to TiDB, design and implementation of Unified Storage Service, API migration from Ixia/Zen/UMS to Unified Storage Service, and Offline Jobs migration from HBase/Hadoop ecosystem to TiSpark ecosystem while maintaining our availability and latency SLA. Please read more about it in our other blog.

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Data Ingestion Hadoop Database Kafka 52