Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? This blog post is intended to provide guidance to Ozone administrators and application developers on the optimal usage of the bucket layouts for different applications.

Systems 105

Systems Hadoop Unstructured Data Media 105

DoorDash Engineering

FEBRUARY 7, 2023

To address these scalability issues we did a major overhaul of the legacy architecture and adopted CockroachDB as its new storage engine. Our legacy store_items table had successfully gotten the new vertical business started, but needed to be a lot more scalable if we wanted to support 10x volumes.

PostgreSQL 119

PostgreSQL Retail SQL Database 119

Cloudera

AUGUST 11, 2021

Once upon an IT time, everything was a “point product,” a specific application designed to do a single job inside a desktop PC, server, storage array, network, or mobile device. Having only one vendor to call for updates, security patches, questions–or in the event of a problem–is a major plus for administrators. Reason No.

Cloud 119

Cloud Big Data Government Cloud Computing 119

Confluent

SEPTEMBER 26, 2019

® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog). Kafka often acts as the core foundation of a modern integration layer. In the early days, many companies simply used Apache Kafka ® for data ingestion into Hadoop or another data lake.

Kafka 21

Kafka BI SQL Datasets 21

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunication 86

Telecommunication Data Architecture Architecture Government 86

phData: Data Engineering

SEPTEMBER 29, 2023

In this blog, we will explore the most commonly applied use cases of data engineering in the financial industry. We will also include a sample reference architecture for a modern data stack. Said differently, any tools or steps we use to help us utilize data can be considered data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Algorithm 52

Cloudera

AUGUST 9, 2022

Data is integral for both long-term strategy and day-to-day, or even minute-to-minute operation. As customers import their mainframe and legacy data warehouse workloads, there is an expectation on the platform that it can meet, if not exceed, the resilience of the prior system and its associated dependencies. Why disaster recovery?

Data Lake 79

Data Lake Data Warehouse Architecture Data Ingestion 79

Edureka

JANUARY 12, 2024

Full-stack development builds web applications from the ground up, handling both the user-facing side (front-end) and the internal workings (back-end). A full stack developer is responsible for both the front-end and back-end development of websites and applications. Focuses on visual appeal and intuitive interaction. What is CORS?

NoSQL 52

NoSQL Java MongoDB Programming 52

Zalando Engineering

JULY 25, 2017

I will compare classical, stateful authentication with modern, stateless authentication. And I will explain why it is important to understand the fundamental difference of both approaches. And I will explain why it is important to understand the fundamental difference of both approaches.

Transportation 40

Transportation Systems Architecture Accessible 40

AltexSoft

JUNE 9, 2023

For example, you could ask ChatGPT about the best attractions in a specific city (say, Chicago), and it would respond with a list of them, including information on why each might be interesting. As of the current date, the available models that can be accessed through APIs include modern GPT-4 and GPT-3.5-Turbo, What is ChatGPT?

Project 52

Project Java Hospitality Transportation 52

ProjectPro

OCTOBER 20, 2021

So right before we start, I would like to let you know that the focus of this blog is to get you started for interviews and give you exposure to what is the latest in the field of Artificial Intelligence. Gartner is a market leader in market research. That's where you can make most of the money in any AI or machine learning job role.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

MARCH 23, 2016

Why use Hadoop? Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Why use Hadoop? The two primary reasons to support the question “Why use Hadoop” – The cost savings with Hadoop are dramatic when compared to the legacy systems. How does Hadoop work?

Hadoop 40

Hadoop IT Big Data Retail 40

Cloudera

DECEMBER 12, 2018

A number of folks in the database community saw this approach and understood why it was coming about. Greg Rahn: Toward the end of that eight-year stint, I saw this thing coming up called Hadoop and an engine called Hive. Interesting times. Let’s talk about big data and Apache Impala. Greg Rahn: Sure.

Data Warehouse 42

Data Warehouse Relational Database Hadoop BI 42

Confluent

JULY 31, 2019

Over the past year, we’ve been amazed at how fast Confluent Platform has matured within our user base—both in terms of size and criticality of deployments. Here’s a word from some of our partners: “The use of microservices in modern software design has become widespread,” said Cornelia Davis, VP, Technology at Pivotal.

Kafka 19

Kafka Cloud Accessible Accessibility 19

Confluent

OCTOBER 10, 2019

Kafka-native options to note for MQTT integration beyond Kafka client APIs like Java, Python,NET, and C/C++ are: Kafka Connect source and sink connectors , which integrate with MQTT brokers in both directions. Confluent Platform and Confluent Cloud are already used in many IoT deployments, both in Consumer IoT and Industrial IoT (IIoT).

Kafka 20

Kafka Google Cloud Architecture Machine Learning 20

phData: Data Engineering

JULY 18, 2023

The Ultimate Modern Data Stack Migration Guide phData Marketing July 18, 2023 This guide was co-written by a team of data experts, including Dakota Kelley, Ahmad Aburia, Sam Hall, and Sunny Yan. Throughout this journey, we’ve helped hundreds of clients achieve eye-opening results by moving to the Modern Data Stack.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Cloudera

MAY 18, 2021

Second, since IaaS deployments replicated the on-premises HDFS storage model, they resulted in the same data replication overhead in the cloud (typical 3x), something that could have mostly been avoided by leveraging modern object store. that optimizes autoscaling for compute resources compared to the efficiency of VM-based scaling. .

Hadoop 85

Hadoop Cloud AWS Utilities 85

Cloudera

NOVEMBER 27, 2023

Cloudera was happy to participate, both as a sponsor of the conference and supporter of the open source community. This blog is a summary of what we observed there for anyone who was unable to attend or just wants to stay on top of what’s happening in streaming. Flink is, relatively speaking, a newer technology. Takeaway No.

Kafka 82

Kafka SQL ETL Tools Data Lake 82