Data Engineering Weekly

MAY 16, 2023

WAP [Write-Audit-Publish] Pattern The WAP pattern follows a three-step process Write Phase The write phase results from a data ingestion or data transformation step. In the 'Write' stage, we capture the computed data in a log or a staging area. The Fronting Kafka pattern follows a two-cluster approach.

Engineering 110

Engineering Kafka Data Pipeline Data Warehouse 110

Team Data Science

MAY 10, 2020

I can now begin drafting my data ingestion/ streaming pipeline without being overwhelmed. Kafka, while not in the top 5 most in demand skills, was still the most requested buffer technology requested which makes it worthwhile to include it. I'll use Python and Spark because they are the top 2 requested skills in Toronto.

Data Pipeline 130

Data Pipeline Data Ingestion AWS Kafka 130

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 216

Data Ingestion Data Storage Hadoop Data 216

Confluent

APRIL 27, 2021

There is a class of applications that cannot afford to be unavailable—for example, external-facing entry points into your organization. Typically, anything your customers interact with directly cannot go down. As […].

Kafka 134

Kafka Data Ingestion Data 134

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.

Project 130

Project Management Data Ingestion AWS 130

Data Engineering Weekly

MARCH 24, 2024

The author goes beyond comparing the tools to various offerings from streaming vendors in stream processing and Kafka protocol-supported systems. As we predicted in the key trends of 2023 about Apache Flink as a clear winner in the stream processing frameworks, we see Confluent offering Flink as a service.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 67

Data Warehouse Cloud Kafka Cloud Storage 67

LinkedIn Engineering

OCTOBER 19, 2023

To enable the ingestion and real-time processing of enormous volumes of data, LinkedIn built a custom stream processing ecosystem largely with tools developed in-house (and subsequently open-sourced). In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

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.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

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. STEP 4: Capture data from Apache Kafka streams.

Manufacturing 103

Manufacturing Data Warehouse Kafka Retail 103

Christophe Blefari

JANUARY 20, 2024

The main difference between both is the fact that your computation resides in your warehouse with SQL rather than outside with a programming language loading data in memory. In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), Understand Change Data Capture — CDC.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Christophe Blefari

MARCH 4, 2023

Data ingestion pipeline with Operation Management — At Netflix they annotate video which can lead to thousand of annotation but they need to manage the annotation lifecycle each time the annotation algorithm runs. Not related, they also announced Snowpipe Streaming this week. This article explains how they did it.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

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.

Hospitality 91

Hospitality Kafka Retail Data Ingestion 91

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 106

Machine Learning Python Kafka Java 106

Data Engineering Podcast

AUGUST 21, 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

Lambda Architecture 100

Lambda Architecture MongoDB Scala MySQL 100

Snowflake

SEPTEMBER 14, 2023

Snowflake simplifies data ingestion by consolidating batch and streaming, increasing Marriott’s speed to market—as soon as a customer transaction occurs, the data is available for consumption. With Snowflake’s Kafka connector, the technology team can ingest tokenized data as JSON into tables as VARIANT.

Data Architecture 94

Data Architecture Architecture Hadoop Data Warehouse 94

Cloudera

SEPTEMBER 28, 2020

The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. Lineage and chain of custody, advanced data discovery and business glossary. Kafka, SRM, SMM.

Cloud 130

Cloud Kafka Professional Services Metadata 130

Cloudera

JANUARY 26, 2021

Use Case 1: NiFi pulling data from Kafka and pushing it to a file system (like HDFS). The Kafka coordinator, for the specified Consumer Group ID, will rebalance the existing topic partitions across the consumers from both HDF and CFM clusters. There should be no data ingested in HDF, only CFM.

Kafka 75

Kafka Hadoop Data Ingestion Utilities 75

Data Engineering Podcast

SEPTEMBER 25, 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

Food 100

Food MongoDB Scala MySQL 100

Cloudera

JULY 21, 2022

Druid’s native support for ingesting data from Apache Kafka allows it to stream data from Cloudera DataFlow to Rill’s fully managed Druid service. Data is made queryable in real time. The Druid native Kafka indexing service features: Pull-based ingestion. Exactly once support.

BI 82

BI Digital Media Data Warehouse Kafka 82

Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Check out Felipe Hoffa’s video on how to use Snowsight to get from data to decision faster.

Retail 73

Retail Healthcare Data Ingestion Consulting 73

Data Engineering Podcast

AUGUST 28, 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

Building 100

Building MongoDB Scala MySQL 100

Data Engineering Podcast

SEPTEMBER 11, 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

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Increasingly, data warehouses and data lakes are moving toward each other in a general shift toward data lakehouse architecture.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Increasingly, data warehouses and data lakes are moving toward each other in a general shift toward data lakehouse architecture.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Knowledge Hut

NOVEMBER 2, 2023

Top 10 Azure Data Engineering Project Ideas for Beginners For beginners looking to gain practical experience in Azure Data Engineering, here are 10 Azure Data engineer real time projects ideas that cover various aspects of data processing, storage, analysis, and visualization using Azure services: 1.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Knowledge Hut

JUNE 26, 2023

If you are struggling with Data Engineering projects for beginners, then Data Engineer Bootcamp is for you. Some simple beginner Data Engineer projects that might help you go forward professionally are provided below. Source Code: Stock and Twitter Data Extraction Using Python, Kafka, and Spark 2.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Snowflake

AUGUST 16, 2023

That’s why we built Snowpipe Streaming, now generally available to handle row-set data ingestion. The new Kafka connector, built with Snowpipe Streaming , now supports schema detection and evolution. Snowpipe streaming supports both database replication and group-based replication.

Scala 52

Scala Transportation Kafka Data Lake 52

Cloudera

JUNE 7, 2021

We think that this is a good validation of our data-in-motion philosophy that a streaming architecture is made up of needs across data ingestion , messaging and analytics and in our case, this is powered by Apache NiFi, Apache Kafka and Apache Flink.

Kafka 100

Kafka Data Ingestion Architecture Cloud 100

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 57

Data Ingestion Kafka Java Data Pipeline 57

Data Engineering Podcast

AUGUST 6, 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

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Running the data flow natively on the cloud.

Process 80

Process Kafka SQL Machine Learning 80

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 80

Banking Data Ingestion Kafka Data Lake 80

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 59

Data Ingestion Utilities Data Integration Data 59

Pinterest Engineering

AUGUST 18, 2022

We considered various approaches for doing data migration and finalized the methodology based on various trade offs: Doing double writes ( writing to 2 sources of truths in sync/async fashion) from the service to both tables (HBase and TiDB) and using the TiDB backend mode in the lightning for data ingestion.

Data Ingestion 52

Data Ingestion Hadoop Database Kafka 52

Knowledge Hut

MAY 2, 2024

Spark streaming also has in-built connectors for Apache Kafka which comes very handy while developing Streaming applications. The order management system pushes the order status to the queue(could be Kafka) from where Streaming process reads every minute and picks all the orders with their status.

Scala 52

Scala Hospitality Healthcare Retail 52

Data Engineering Podcast

OCTOBER 12, 2020

Our comprehensive data-level security, auditing and de-identification features eliminate the need for time-consuming manual processes and our focus on data and compliance team collaboration empowers you to deliver quick and valuable data analytics on the most sensitive data to unlock the full potential of your cloud data platforms.

Business Intelligence 100

Business Intelligence BI Consulting Data Ingestion 100