Confluent

FEBRUARY 21, 2019

During a recent talk titled Hunters ATT&CKing with the Right Data , which I presented with my brother Jose Luis Rodriguez at ATT&CKcon, we talked about the importance of documenting and modeling security event logs before developing any data analytics while preparing for a threat hunting engagement. FROM SYSMON_JOIN.

Process 80

Process Kafka Datasets SQL 80

Cloudera

APRIL 20, 2021

Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. What is modern streaming architecture?

Hospitality 93

Hospitality Kafka Retail Data Ingestion 93

Data Engineering Podcast

SEPTEMBER 25, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Food 100

Food MongoDB Scala MySQL 100

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 69

Data Warehouse Cloud Kafka Cloud Storage 69

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

Snowflake

AUGUST 16, 2023

Custom Event Billing capabilities enable you to build your own pricing strategy. You can charge customers based on their usage and specify billing events based on your preferences, such as consumed rows, ingested rows and more. That’s why we built Snowpipe Streaming, now generally available to handle row-set data ingestion.

Scala 52

Scala Transportation Kafka Data Lake 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 106

Manufacturing Data Warehouse Kafka Retail 106

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Data is made queryable in real time.

BI 84

BI Digital Media Data Warehouse Kafka 84

Cloudera

AUGUST 26, 2020

But if an exchange is able to process data in real-time and detect an unnatural pattern on this stock being traded at extremely high volumes which is affecting the value or price, it can trigger a stop immediately, preventing further disruption or manipulation. From a data ingestion standpoint, NiFi is designed for this purpose.

Banking 82

Banking Data Ingestion Kafka Data Lake 82

Data Engineering Podcast

SEPTEMBER 11, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Data Pipeline 130

Data Pipeline Building MongoDB Scala 130

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

Data Engineering Podcast

AUGUST 6, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months.

Machine Learning 100

Machine Learning Database MySQL PostgreSQL 100

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. © 2023 Snowflake Inc.

Retail 69

Retail Healthcare Data Ingestion Consulting 69

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

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

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

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. containing data that may have to be used to enrich the streaming data.

Process 82

Process Kafka SQL Machine Learning 82

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. This mode is particularly useful for audit trails or scenarios where preserving the historical sequence of data changes is important.

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

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 56

Data Ingestion Kafka Java Data Pipeline 56

ProjectPro

DECEMBER 7, 2021

Data pipelines must be scalable due to the volume of big data, which might fluctuate over time. The big data pipeline must process data in large volumes concurrently because, in reality, multiple big data events are likely to occur at once or relatively close together.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Rockset

AUGUST 30, 2021

Apache Kafka has made acquiring real-time data more mainstream, but only a small sliver are turning batch analytics, run nightly, into real-time analytical dashboards with alerts and automatic anomaly detection. But until this release, all these data sources involved indexing the incoming raw data on a record by record basis.

SQL 52

SQL Kafka MongoDB MySQL 52

Confluent

SEPTEMBER 26, 2019

In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake. However, Apache Kafka is more than just messaging. Some Kafka and Rockset users have also built real-time e-commerce applications , for example, using Rockset’s Java, Node.js

Kafka 20

Kafka BI SQL Datasets 20

AltexSoft

AUGUST 29, 2023

Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts. Data ingestion Data ingestion is the process of importing data into the data lake from various sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Snowflake

MARCH 2, 2023

To address this challenge, we are happy to announce the public preview of Snowpipe Streaming as the latest addition to our Snowflake ingestion offerings. As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. How does Snowpipe Streaming work?

Kafka 120

Kafka Data Ingestion Data Pipeline Cloud Storage 120

Rock the JVM

JANUARY 21, 2023

Giannis is a proud alumnus of Rock the JVM, working as a Solutions Architect with a focus on Event Streaming and Stream Processing Systems. Introduction Apache Kafka is a well-known event streaming platform used in many organizations worldwide. Environment Setup First, we want to have a Kafka Cluster up and running.

Kafka 68

Kafka Java Scala Coding 68

Monte Carlo

MARCH 14, 2023

Data ingestion is the process of collecting data from various sources and moving it to your data warehouse or lake for processing and analysis. It is the first step in modern data management workflows. Table of Contents What is Data Ingestion? Decision making would be slower and less accurate.

Data Ingestion 52

Data Ingestion Data Warehouse Lambda Architecture Raw Data 52

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. Logstash is an event processing pipeline that ingests and transforms data before sending it to Elasticsearch.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Rockset

MAY 3, 2023

To find out, we decided to test the streaming ingestion performance of Rockset’s next generation cloud architecture and compare it to open-source search engine Elasticsearch , a popular sink for Apache Kafka. For this benchmark, we evaluated Rockset and Elasticsearch ingestion performance on throughput and data latency.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Rockset

NOVEMBER 6, 2019

Events are messages that are sent by a system to notify operators or other systems about a change in its domain. With event-driven architectures powered by systems like Apache Kafka becoming more prominent, there are now many applications in the modern software stack that make use of events and messages to operate effectively.

Kafka 40

Kafka Data Lake SQL Hadoop 40

Monte Carlo

APRIL 24, 2023

In this article, we’ll dive deep into the data presentation layers of the data stack to consider how scale impacts our build versus buy decisions, and how we can thoughtfully apply our five considerations at various points in our platform’s maturity to find the right mix of components for our organizations unique business needs.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. Event streams, such as clickstreams, IoT data and other time series data, are common sources of data into these apps. Flink, Kafka and MySQL. The software was subsequently open sourced in 2016.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Confluent

MAY 7, 2019

Every developer who uses Apache Kafka ® has used a Kafka consumer at least once. Although it is the simplest way to subscribe to and access events from Kafka, behind the scenes, Kafka consumers handle tricky distributed systems challenges like data consistency, failover and load balancing. Consistency.

Kafka 111

Kafka Accessible Accessibility Metadata 111

Rockset

APRIL 29, 2019

The setup requires metrics and monitoring to ensure that it is correctly processing events from the DynamoDB stream and able to write into Elasticsearch. We can avoid the need for ETL by leveraging mappings we can set up in Rockset to modify the data as it arrives into a collection.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

Cloudera

FEBRUARY 10, 2022

Apache NiFi’s rich processor library provides Azure focused processors like ADLS Gen2, Event Hub, Blob Storage or Cosmos DB out of the box. Figure 2: Moving application log data from Azure Event Hub to ADLS Gen2 and SIEM systems. Figure 3: Moving data from Azure Event Hub to ADLS Gen2. SIEM Optimization.

Cloud 115

Cloud Kafka AWS Data Ingestion 115

Rockset

JANUARY 16, 2019

This post offers a how-to guide to real-time analytics using SQL on streaming data with Apache Kafka and Rockset, using the Rockset Kafka Connector , a Kafka Connect Sink. Kafka is commonly used by many organizations to handle their real-time data streams. A Kafka quickstart tutorial can be found here.

Kafka 40

Kafka SQL Python Data 40

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52