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 92

Hospitality Kafka Retail Data Ingestion 92

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

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

JUNE 7, 2021

CDF has pioneered as a data-in-motion platform since its inception at Hortonworks several years ago. Today, it offers the breadth of products for managing data-in-motion from the edge to the cloud (or the enterprise).

Kafka 101

Kafka Data Ingestion Architecture Cloud 101

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 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. Commerce Placer.ai

Retail 72

Retail Healthcare Data Ingestion Consulting 72

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

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. As a result, organizations are looking to capitalize on cloud-based data solutions. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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

Cloudera

FEBRUARY 9, 2021

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. On-premises: CDP Private Cloud Base. Apache HBase data layout Cells. Data ingest.

Database 101

Database Java Data Ingestion SQL 101

Knowledge Hut

APRIL 25, 2023

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

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. It becomes prohibitively complex and expensive to use a data warehouse to serve real-time analytics.

SQL 52

SQL Kafka MongoDB MySQL 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 57

Data Ingestion Kafka Java Data Pipeline 57

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. Consequently, data engineers implement checkpoints so that no event is missed or processed twice. It not only consumes more memory but also slackens data transfer.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 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.

AWS 52

AWS SQL Datasets Kafka 52

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

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

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 21

Kafka BI SQL Datasets 21

Cloudera

SEPTEMBER 17, 2018

It also comes out of the box with a widely adopted, easy-to-use SQL Developer Workbench: Hue, that is specifically designed for the needs of the modern knowledge worker: No need to know _where_ the data resides. Hue can help you navigate to the right data no matter if the data is on-prem or in cloud.

Data Warehouse 52

Data Warehouse SQL Portfolio MySQL 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

Rockset

OCTOBER 11, 2022

Rockset, on the other hand, is a cloud-native database, removing a lot of the tooling and overhead required to get data into the system. 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.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Rockset

MAY 3, 2023

In scenarios involving analytics on massive data streams, we’re often asked the maximum throughput and lowest data latency Rockset can achieve and how it stacks up to other databases. For this benchmark, we evaluated Rockset and Elasticsearch ingestion performance on throughput and data latency.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 90

Google Cloud Cloud Amazon Web Services Cloud Storage 90

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. . The need for a cloud-native Apache NiFi service on Microsoft Azure.

Cloud 114

Cloud Kafka AWS Data Ingestion 114

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

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

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

Rockset

JUNE 8, 2023

Streaming data adoption continues to accelerate - over 80% of Fortune 100 companies already use Apache Kafka - driven by organizations creating value by putting data to use in real time. Much of this streaming data will land in real-time analytics databases as event streams. No overprovisioning required.

Kafka 52

Kafka Algorithm Database Architecture 52

Cloudera

JANUARY 11, 2021

Here are some details to consider: NiFi is designed to be centrally located, usually in a data center or in the cloud, to move data around or collect data from well-known external systems like databases, object stores, etc. Such systems can be NiFi of course, but also MQTT brokers, cloud providers services, etc.

Kafka 60

Kafka Data Cleanse Java Datasets 60

Rockset

MARCH 27, 2023

This blog will clarify some conceptual differences, provide an overview of popular tools, and offer a framework for deciding which tools are best suited for specific technical requirements. This processing happens incrementally, as the streaming data arrives. But Where Will My Data Live? So do you need just one?

Database 52

Database Process Scala SQL 52

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. Most IoT-based applications (both B2C and B2B) are typically built in the cloud as microservices and have similar characteristics. trillion by 2024.

Kafka 97

Kafka Google Cloud NoSQL Entertainment 97

Cloudera

FEBRUARY 4, 2019

Late last year, the news of the merger between Hortonworks and Cloudera shook the industry and gave birth to the new Cloudera – the combined company with a focus on being an Enterprise Data Cloud leader and a product offering that spans from edge to AI.

Data Ingestion 72

Data Ingestion Retail Kafka Data Lake 72

Data Engineering Weekly

JANUARY 29, 2023

Get the new platform guide, and take the next step in your journey to data trust. Get The Guide Coinbase: SOON (Spark cOntinuOus iNgestion) for near real-time data at Coinbase - Part 1 Coinbase writes about its unified data ingestion framework SOON!! Streaming plus batch unified in a single platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. a deeper cloud vs. on-prem cost/benefit analysis raises more questions about moving these complex systems to the cloud: Is moving this particular operation to the cloud the right option right now ? .

Hadoop 73

Hadoop Big Data Cloud Kafka 73

Rockset

MARCH 15, 2021

While there’s typically some amount of data engineering required here, there are ways to minimize it. For example, instead of denormalizing the data, you could use a query engine that supports joins. This will avoid unnecessary processing during data ingestion and reduce the storage bloat due to redundant data.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40