Rockset

JULY 28, 2022

While this sounds simple, the details get tricky, particularly if you need to support updates to your data. And you have now introduced another process that has to run, be monitored, scale etc. CDC enables true real-time analytics on your application data, assuming the platform you send the data to can consume the events in real time.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Christophe Blefari

JANUARY 20, 2024

He wrote some years ago 3 articles defining data engineering field. Some concepts When doing data engineering you can touch a lot of different concepts. batch — Batch processing is at the core of data engineering. One of the major task is to move data from a source storage to a destination storage.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Data Collection Challenge.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

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. The article has been written as something you can add in your own internal dbt onboarding process for every newcomer. So thank you for that. Stay tuned and let's jump to the content.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

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 Streaming Analytics?

Hospitality 92

Hospitality Kafka Retail Data Ingestion 92

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 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

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 131

Cloud Kafka Professional Services Metadata 131

Cloudera

JANUARY 26, 2021

Has your organization considered upgrading from Hortonworks Data Flow (HDF) to Cloudera Flow Management (CFM) , but thought the migration process would be too disruptive to your mission critical dataflows? Use Case 1: NiFi pulling data from Kafka and pushing it to a file system (like HDFS).

Kafka 77

Kafka Hadoop Data Ingestion Utilities 77

Cloudera

JUNE 7, 2021

CDF streamlines the process of collecting, curating and analyzing real-time streaming data with its integrated set of components. It calls out that Cloudera DataFlow “ includes streaming flow and streaming data processing unified with Cloudera Data Platform ”.

Kafka 101

Kafka Data Ingestion Architecture Cloud 101

Snowflake

AUGUST 16, 2023

Read our Summit recap blog for highlights across industries or watch Summit sessions now on-demand. Applications Snowflake Native App Framework now available in AWS – public preview Snowflake Native Apps are an entirely new way to put data to work. Learn more about ML-Powered Functions in our blog or in Snowflake documentation.

Scala 52

Scala Transportation Kafka Data Lake 52

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. Cloudera Data Warehouse).

BI 83

BI Digital Media Data Warehouse Kafka 83

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 72

Retail Healthcare Data Ingestion Consulting 72

Cloudera

AUGUST 26, 2020

In Part II of our Q&A, Dinesh will be looking at how businesses can leverage technology like Apache Flink and Apache NiFi to promote low latency processing of high-volume, high-velocity data. Hello Dinesh, thank you for joining us for Part II of our Q&A on streaming data.

Banking 80

Banking Data Ingestion Kafka Data Lake 80

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). In this blog post, we’ll see how you can use other CDP services with COD. Integrated across the Enterprise Data Lifecycle . Read about Building a Scalable Process Using NiFi, Kafka, and HBase on CDP.

Database 81

Database Machine Learning Data Lake Kafka 81

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. This strategy is the simplest and easiest to implement.

Data Ingestion 52

Data Ingestion Hadoop Database Kafka 52

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. Data Pipeline Tools AWS Data Pipeline Azure Data Pipeline Airflow Data Pipeline Learn to Create a Data Pipeline FAQs on Data Pipeline What is a Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Knowledge Hut

APRIL 25, 2023

Data engineering tools are software applications that help data engineers manage and process large and complex data sets. Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Let’s take a look: 1.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 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

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . If you are new to Cloudera Operational Database, see this blog post. In this blog post, we’ll look at both Apache HBase and Apache Phoenix concepts relevant to developing applications for Cloudera Operational Database.

Database 101

Database Java Data Ingestion SQL 101

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. Batch processing and reports after minutes or even hours is not sufficient. Apache Kafka as an event streaming platform for real-time analytics.

Kafka 21

Kafka BI SQL Datasets 21

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 123

Kafka Data Ingestion Data Pipeline Cloud Storage 123

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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 52

Data Ingestion Lambda Architecture Raw Data Kafka 52

Cloudera

SEPTEMBER 17, 2018

The volume of data is now in the petabytes, and businesses require high demand on availability and reliability. An organization with bottlenecks to acquire, prepare, process, and serve data – can lead to important decisions being made with stale data. Here are some highlights: Data Ingest.

Data Warehouse 52

Data Warehouse SQL Portfolio MySQL 52

Rockset

OCTOBER 11, 2022

As Rockset is purpose-built for real-time analytics, it has also been designed for field-level mutability , decreasing the CPU required to process inserts, updates and deletes. 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

MARCH 27, 2023

In part 1 , we covered the technology landscape for real-time analytics on streaming data. In this post, we’ll explore the differences between real-time analytics databases and stream processing frameworks. Differing Paradigms Stream processing systems and real-time analytics (RTA) databases are both exploding in popularity.

Database 52

Database Process Scala SQL 52

Rockset

APRIL 29, 2019

In this blog post I compare options for real-time analytics on DynamoDB - Elasticsearch , Athena, and Spark - in terms of ease of setup, maintenance, query capability, latency. Developers often have a need to serve fast analytical queries over data in Amazon DynamoDB. I also evaluate which use cases each of them are best suited for.

NoSQL 52

NoSQL PostgreSQL AWS SQL 52

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer? Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Data Engineering Weekly

SEPTEMBER 11, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. The blog narrates the key concepts of the Kimball model and a modern outlook on the concepts.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

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

NOVEMBER 6, 2019

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. Types of Event Data Applications emit events that correspond to important actions or state changes in their context.

Kafka 40

Kafka Data Lake SQL Hadoop 40

Cloudera

JANUARY 11, 2021

These devices can be servers, workstations, and laptops but also sensors, self-driving cars, machines in factories, etc, where you want to collect specific data using some of the NiFi features within MiNiFi. The ability to filter, select, and triage the data before sending it to a destination.

Kafka 60

Kafka Data Cleanse Java Datasets 60

Cloudera

FEBRUARY 10, 2022

Processing Streaming Data. Figure 3: Moving data from Azure Event Hub to ADLS Gen2. Modern applications often provide streaming interfaces to send transaction data in real-time to external systems for analysis. Apache Kafka deployments are commonly used to buffer these messages for downstream consumption.

Cloud 114

Cloud Kafka AWS Data Ingestion 114