Data Ingestion and Java - Data Engineering Digest

Stream Rows and Kafka Topics Directly into Snowflake with Snowpipe Streaming

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.

Kafka

Kafka Data Ingestion Data Pipeline Cloud Storage

A Dive into Apache Flume: Installation, Setup, and Configuration

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.

Data Ingestion

Data Ingestion Data Storage Hadoop Data

Best Practices for Data Ingestion with Snowflake: Part 3

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?

Data Ingestion

Data Ingestion Kafka Java Data Pipeline

Webinars

How to Achieve High-Accuracy Results When Using LLMs

MORE WEBINARS

Comparing Snowflake Data Ingestion Methods with Striim

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.

Data Ingestion

Data Ingestion Utilities Data Integration Data

What is Data Ingestion? Types, Frameworks, Tools, Use Cases

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?

Data Ingestion

Data Ingestion Lambda Architecture Raw Data Data Science

Tame The Entropy In Your Data Stack And Prevent Failures With Sifflet

Data Engineering Podcast

NOVEMBER 20, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Lake

Data Lake Data Ingestion MongoDB Google Cloud

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers. You can still import other models if you want (e.g.,

Machine Learning

Machine Learning Python Kafka Java

Running Unified PubSub Client in Production at Pinterest

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. Check it out! Check it out here !

Kafka

Kafka Java Software Engineer Software Engineering

Collect Logs and Traces From Your Snowflake Applications With Event Tables

Snowflake

OCTOBER 30, 2023

Enter the new Event Tables feature, which helps developers and data engineers easily instrument their code to capture and analyze logs and traces for all languages: Java, Scala, JavaScript, Python and Snowflake Scripting. But previously, developers didn’t have a centralized, straightforward way to capture application logs and traces.

Java

Java Scala Hadoop Data Ingestion

Build Real Time Applications With Operational Simplicity Using Dozer

Data Engineering Podcast

JULY 23, 2023

Your host is Tobias Macey and today I'm interviewing Matteo Pelati about Dozer, an open source engine that includes data ingestion, transformation, and API generation for real-time sources Interview Introduction How did you get involved in the area of data management? Can you describe what Dozer is and the story behind it?

Building

Building Machine Learning SQL Python

Discover And De-Clutter Your Unstructured Data With Aparavi

Data Engineering Podcast

JUNE 12, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Unstructured Data

Unstructured Data MongoDB MySQL Scala

Cloudera Operational Database application development concepts

Cloudera

FEBRUARY 9, 2021

If you are a database administrator or developer, you can start writing queries right-away using Apache Phoenix without having to wrangle Java code. . To store and access data in the operational database, you can do one of the following: Use native Apache HBase client APIs to interact with data in HBase: Use the HBase APIs for Java.

Database

Database Java SQL Data Ingestion

Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

Data Engineering Podcast

NOVEMBER 6, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

MongoDB

MongoDB MySQL Scala Machine Learning

From Event-Driven Chaos to a Blazingly Fast Serving API

Zalando Engineering

MARCH 6, 2025

Java Flight Recorder (JFR) was invaluable in fine-tuning the JVM. Visible in our cluster-wide latency graphs above, when we load-tested PRAPI. Advanced Tuning This section covers the advanced tuning techniques we applied to reduce tail latency in PRAPI.

Algorithm

Algorithm Architecture Transportation Data Ingestion

Updates, Inserts, Deletes: Comparing Elasticsearch and Rockset for Real-Time Data Ingest

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.

Data Ingestion

Data Ingestion Kafka Relational Database PostgreSQL

Level Up Your Data Platform With Active Metadata

Data Engineering Podcast

JUNE 19, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Metadata

Metadata MongoDB MySQL Scala

Scalable Annotation Service?—?Marken

Netflix Tech

JANUARY 25, 2023

Unlike Java, we support multiple inheritance as well. We have several ML algorithms which scan Netflix media assets (images and videos) and create very interesting data for example identifying characters in frames or identifying match cuts. This allows our clients to create an “is-a-type-of” relationship between schemas.

Algorithm

Algorithm Media Metadata Data Ingestion

What is Streaming Analytics?

Cloudera

APRIL 20, 2021

The developers must understand lower-level languages like Java and Scala and be familiar with the streaming APIs. A modern streaming architecture consists of critical components that provide data ingestion, security and governance, and real-time analytics. What is modern streaming architecture?

Kafka

Kafka Hospitality Retail Data Ingestion

Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

Data Engineering Podcast

SEPTEMBER 11, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Pipeline

Data Pipeline Building MongoDB MySQL

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Data Engineering Podcast

AUGUST 21, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Lambda Architecture

Lambda Architecture MongoDB MySQL Scala

Joe Reis Flips The Script And Interviews Tobias Macey About The Data Engineering Podcast

Data Engineering Podcast

JULY 17, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Engineering

Data Engineering Data Engineer Engineering MongoDB

Building Netflix’s Distributed Tracing Infrastructure

Netflix Tech

OCTOBER 19, 2020

Our tactical approach was to use Netflix-specific libraries for collecting traces from Java-based streaming services until open source tracer libraries matured. We chose Open-Zipkin because it had better integrations with our Spring Boot based Java runtime environment.

Building

Building Transportation Java Metadata

Collecting And Retaining Contextual Metadata For Powerful And Effective Data Discovery

Data Engineering Podcast

AUGUST 13, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Metadata

Metadata MongoDB MySQL Scala

Druid Deprecation and ClickHouse Adoption at Lyft

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.

Kafka

Kafka Data Ingestion Datasets Architecture

A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

MAY 29, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Database

Database Architecture Data Architecture PostgreSQL

Simplify Data Security For Sensitive Information With The Skyflow Data Privacy Vault

Data Engineering Podcast

JUNE 5, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Security

Data Security Metadata MongoDB MySQL

Be Confident In Your Data Integration By Quickly Validating Matching Records With data-

Data Engineering Podcast

JULY 3, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Integration

Data Integration MongoDB MySQL Scala

Maintain Your Data Engineers' Sanity By Embracing Automation

Data Engineering Podcast

JULY 10, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Engineering

Data Engineering Data Engineer Engineering MongoDB

Re-Bundling The Data Stack With Data Orchestration And Software Defined Assets Using Dagster

Data Engineering Podcast

JULY 24, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

MongoDB

MongoDB MySQL Scala Data Lake

Interactive Exploratory Data Analysis On Petabyte Scale Data Sets With Arkouda

Data Engineering Podcast

JULY 31, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Analysis

Data Analysis MongoDB Algorithm MySQL

Alumni Of AirBnB's Early Years Reflect On What They Learned About Building Data Driven Organizations

Data Engineering Podcast

AUGUST 28, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Building

Building MongoDB MySQL Scala

Operational Analytics To Increase Efficiency For Multi-Location Businesses With OpsAnalitica

Data Engineering Podcast

SEPTEMBER 18, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Hospitality

Hospitality Food MongoDB MySQL

Power Your Real-Time Analytics Without The Headache Using Fivetran's Change Data Capture Integrations

Data Engineering Podcast

SEPTEMBER 25, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Food

Food MongoDB MySQL Scala

An Exploration Of The Open Data Lakehouse And Dremio's Contribution To The Ecosystem

Data Engineering Podcast

OCTOBER 16, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Lake

Data Lake Food MongoDB MySQL

Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

Data Engineering Podcast

OCTOBER 23, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Database

Database MySQL Cloud MongoDB

Analytics Engineering Without The Friction Of Complex Pipeline Development With Optimus and dbt

Data Engineering Podcast

OCTOBER 30, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Engineering

Engineering MongoDB MySQL Scala

Taking A Look Under The Hood At CreditKarma's Data Platform

Data Engineering Podcast

NOVEMBER 13, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

MongoDB

MongoDB Google Cloud MySQL Scala

How to learn data engineering

Christophe Blefari

JANUARY 20, 2024

The Rise of the Data Engineer The Downfall of the Data Engineer Functional Data Engineering — a modern paradigm for batch data processing There is a global consensus stating that you need to master a programming language (Python or Java based) and SQL in order to be self-sufficient.

Data Engineering

Data Engineering Data Engineer Engineering Hadoop

Introducing Cloudera Edge Management and Cloudera Flow Management

Cloudera

MARCH 27, 2019

Cloudera Flow Management (CFM) is a no-code data ingestion and management solution powered by Apache NiFi. With a slick user interface, 300+ processors and the NiFi Registry, CFM delivers highly scalable data management and DevOps capabilities to the enterprise. NiFi can handle all types of data across any type of data source.

Management

Management Data Ingestion Machine Learning Java

Strategies And Tactics For A Successful Master Data Management Implementation

Data Engineering Podcast

JUNE 26, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Data Management

Data Management Management MongoDB MySQL

Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Data Engineering Podcast

AUGUST 6, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Machine Learning

Machine Learning Database MySQL PostgreSQL

Bringing Automation To Data Labeling For Machine Learning With Watchful

Data Engineering Podcast

AUGUST 13, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Machine Learning

Machine Learning Pipeline-centric Database-centric MongoDB

Make Data Lineage A Ubiquitous Part Of Your Work By Simplifying Its Implementation With Alvin

Data Engineering Podcast

OCTOBER 2, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

IT

IT Food PostgreSQL MongoDB

Investing In Understanding The Customer Journey At American Express

Data Engineering Podcast

OCTOBER 9, 2022

The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. Ascend users love its declarative pipelines, powerful SDK, elegant UI, and extensible plug-in architecture, as well as its support for Python, SQL, Scala, and Java.

Food

Food MongoDB MySQL Scala

Stream Rows and Kafka Topics Directly into Snowflake with Snowpipe Streaming

A Dive into Apache Flume: Installation, Setup, and Configuration

Webinars

Trending Sources

Best Practices for Data Ingestion with Snowflake: Part 3

Webinars

Comparing Snowflake Data Ingestion Methods with Striim

What is Data Ingestion? Types, Frameworks, Tools, Use Cases

Tame The Entropy In Your Data Stack And Prevent Failures With Sifflet

Machine Learning with Python, Jupyter, KSQL and TensorFlow

Running Unified PubSub Client in Production at Pinterest

Collect Logs and Traces From Your Snowflake Applications With Event Tables

Build Real Time Applications With Operational Simplicity Using Dozer

Discover And De-Clutter Your Unstructured Data With Aparavi

Cloudera Operational Database application development concepts

Clean Up Your Data Using Scalable Entity Resolution And Data Mastering With Zingg

From Event-Driven Chaos to a Blazingly Fast Serving API

Updates, Inserts, Deletes: Comparing Elasticsearch and Rockset for Real-Time Data Ingest

Level Up Your Data Platform With Active Metadata

Scalable Annotation Service?—?Marken

What is Streaming Analytics?

Building Data Pipelines That Run From Source To Analysis And Activation With Hevo Data

An Exploration Of The Expectations, Ecosystem, and Realities Of Real-Time Data Applications

Joe Reis Flips The Script And Interviews Tobias Macey About The Data Engineering Podcast

Building Netflix’s Distributed Tracing Infrastructure

Collecting And Retaining Contextual Metadata For Powerful And Effective Data Discovery

Druid Deprecation and ClickHouse Adoption at Lyft

A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Simplify Data Security For Sensitive Information With The Skyflow Data Privacy Vault

Be Confident In Your Data Integration By Quickly Validating Matching Records With data-

Maintain Your Data Engineers' Sanity By Embracing Automation

Re-Bundling The Data Stack With Data Orchestration And Software Defined Assets Using Dagster

Interactive Exploratory Data Analysis On Petabyte Scale Data Sets With Arkouda

Alumni Of AirBnB's Early Years Reflect On What They Learned About Building Data Driven Organizations

Operational Analytics To Increase Efficiency For Multi-Location Businesses With OpsAnalitica

Power Your Real-Time Analytics Without The Headache Using Fivetran's Change Data Capture Integrations

An Exploration Of The Open Data Lakehouse And Dremio's Contribution To The Ecosystem

Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB

Analytics Engineering Without The Friction Of Complex Pipeline Development With Optimus and dbt

Taking A Look Under The Hood At CreditKarma's Data Platform

How to learn data engineering

Introducing Cloudera Edge Management and Cloudera Flow Management

Strategies And Tactics For A Successful Master Data Management Implementation

Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Bringing Automation To Data Labeling For Machine Learning With Watchful

Make Data Lineage A Ubiquitous Part Of Your Work By Simplifying Its Implementation With Alvin

Investing In Understanding The Customer Journey At American Express

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