Jesse Anderson

APRIL 10, 2024

In this episode, I interview Michael Drogalis, the founder and CEO of ShadowTraffic where we talked about the early Hadoop era and how he saw the need for Kafka in the industry. And just like that, we’re down to the 10th episode of Unapologetically Technical!

Hadoop 100

Hadoop Kafka Software Engineer Software Engineering 100

Cloudera

AUGUST 10, 2021

Using the Hadoop CLI. If you’re bringing your own, it’s as simple as creating the bucket in Ozone using the Hadoop CLI and putting the data you want there: hdfs dfs -mkdir ofs://ozone1/data/tpc/test. Then you can import Kafka lineage using the Atlas Kafka import tool provided with CDP. hdfs dfs -ls ofs://tpc.data.ozone1/.

Hadoop 105

Hadoop Kafka Datasets Government 105

Jesse Anderson

FEBRUARY 6, 2024

We discuss the key features and how they enable analytics uses of data stored in Kafka. We go in-depth into Streambased. We cover how it works and the ease of use. Don’t forget to subscribe to my YouTube channel to get the latest on Unapologetically Technical!

Hadoop 100

Hadoop Kafka Data Warehouse Engineering 100

Cloudera

AUGUST 10, 2021

Apache Ozone enhancements deliver full High Availability providing customers with enterprise-grade object storage and compatibility with Hadoop Compatible File System and S3 API. . We expand on this feature later in this blog. Deep Dive 2: Atlas / Kafka integration. This will expose newly created Kafka topics to Atlas.

Cloud 97

Cloud Kafka Metadata SQL 97

Cloudera

JULY 15, 2021

This blog post provides an overview of best practice for the design and deployment of clusters incorporating hardware and operating system configuration, along with guidance for networking and security as well as integration with existing enterprise infrastructure. Data flow and streaming (NiFi, Kafka, etc.) Introduction and Rationale.

Architecture 102

Architecture Cloud Kafka Hadoop 102

Data Engineering Podcast

FEBRUARY 11, 2018

In your blog post that explains the design decisions for how Timescale is implemented you call out the fact that the inserted data is largely append only which simplifies the index management. The landscape of time series databases is extensive and oftentimes difficult to navigate.

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Data Engineering Podcast

DECEMBER 9, 2018

How does it compare to some of the other streaming frameworks such as Flink, Kafka, or Storm? Contact Info @jgperrin on Twitter Blog Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? What are some of the problems that Spark is uniquely suited to address?

MySQL 100

MySQL Scala Kafka Hadoop 100

Knowledge Hut

APRIL 25, 2024

In this blog post, we will discuss such technologies. If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. It is especially true in the world of big data.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Data Engineering Podcast

JANUARY 13, 2019

Contact Info Ajay @acoustik on Twitter LinkedIn Mike LinkedIn Website @michaelfreedman on Twitter Timescale Website Documentation Careers timescaledb on GitHub @timescaledb on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

Database 100

Database PostgreSQL SQL MongoDB 100

Cloudera

SEPTEMBER 13, 2023

I started my current career path with Hortonworks in 2016, back when we still had to tell people what Hadoop was. Soon after, I became a huge fan of Apache Kafka. Yes, the days of Hadoop are gone, but we did the impossible and built an even better data platform while still empowering open-source and the different teams.

Technology 85

Technology Hadoop Kafka Project 85

Cloudera

SEPTEMBER 7, 2022

The project-level innovation that brought forth products like Apache Hadoop , Apache Spark , and Apache Kafka is engineering at its finest. The post Large Scale Industrialization Key to Open Source Innovation appeared first on Cloudera Blog. Project-level innovation.

Big Data Ecosystem 112

Big Data Ecosystem Hadoop Big Data Architecture 112

Snowflake

OCTOBER 16, 2024

For organizations who are considering moving from a legacy data warehouse to Snowflake, are looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or are struggling with a cloud data warehouse that just isn’t scaling anymore, it often helps to see how others have done it.

Digital Media 102

Digital Media Media Data Lake Data Warehouse 102

Confluent

MAY 21, 2019

The profile service will publish the changes in profiles, including address changes to an Apache Kafka ® topic, and the quote service will subscribe to the updates from the profile changes topic, calculate a new quote if needed and publish the new quota to a Kafka topic so other services can subscribe to the updated quote event.

Kafka 110

Kafka Insurance Architecture Database 110

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Apache Sentry is a role-based authorization module for specific components in Hadoop. It is useful in defining and enforcing different levels of privileges on data for users on a Hadoop cluster.

Hadoop 78

Hadoop SQL Database Kafka 78

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. An example of this use case is a flow that utilizes the ConsumeKafka and PutHDFS processors.

Kafka 81

Kafka Hadoop Data Ingestion Utilities 81

Knowledge Hut

DECEMBER 26, 2023

Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs. Kafka Kafka is an open-source processing software platform. Hadoop is the second most important skill for a Data engineer.

Data Engineer 98

Data Engineer Data Engineering Engineering Hadoop 98

ProjectPro

OCTOBER 31, 2016

Having complete diverse big data hadoop projects at ProjectPro, most of the students often have these questions in mind – “How to prepare for a Hadoop job interview?” ” “Where can I find real-time or scenario-based hadoop interview questions and answers for experienced?” were excluded.).

Hadoop 52

Hadoop Big Data Utilities NoSQL 52

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. Knowledge of C++ helps to improve the speed of the program, while Java is needed to work with Hadoop and Hive, and other tools that are essential for a machine learning engineer.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

MARCH 23, 2015

In one of our previous articles we had discussed about Hadoop 2.0 YARN framework and how the responsibility of managing the Hadoop cluster is shifting from MapReduce towards YARN. In one of our previous articles we had discussed about Hadoop 2.0 Here we will highlight the feature - high availability in Hadoop 2.0

Hadoop 40

Hadoop Big Data Architecture Kafka 40

ProjectPro

JUNE 29, 2016

As open source technologies gain popularity at a rapid pace, professionals who can upgrade their skillset by learning fresh technologies like Hadoop, Spark, NoSQL, etc. From this, it is evident that the global hadoop job market is on an exponential rise with many professionals eager to tap their learning skills on Hadoop technology.

Hadoop 40

Hadoop Big Data Banking Consulting 40

ProjectPro

JUNE 28, 2016

Apache Kafka is breaking barriers and eliminating the slow batch processing method that is used by Hadoop. This is just one of the reasons why Apache Kafka was developed in LinkedIn. Kafka was mainly developed to make working with Hadoop easier. Apache Kafka attempts to solve this issue.

Kafka 40

Kafka Systems Hadoop Big Data 40

Christophe Blefari

JUNE 21, 2024

Good old data warehouses like Oracle were engine + storage, then Hadoop arrived and was almost the same you had an engine (MapReduce, Pig, Hive, Spark) and HDFS, everything in the same cluster, with data co-location. Accordingly to the press Snowflake and Confluent (Kafka) were also trying to buy Tabular. But what is doing Tabular?

Metadata 147

Metadata Data Warehouse BI MySQL 147

Cloudera

AUGUST 21, 2020

These platforms represent far more than just “Hadoop” . But the “elephant in the room” is NOT ‘Hadoop’. The post Dancing with Elephants in 5 Easy Steps appeared first on Cloudera Blog. The only constant is change, however. Valuable lessons and results have been obtained and technologies have evolved. Let’s Talk!

Hadoop 76

Hadoop Big Data Cloud Kafka 76

Cloudera

DECEMBER 14, 2020

That is why we are outlining four reasons that you should consider for upgrading from Hortonworks DataFlow (HDF), Hortonworks Data Platform (HDP) or Cloudera’s Distribution including Apache Hadoop (CDH) to CDP today. . The post Top 4 Reasons Why You Should Upgrade Your Stream Processing Workloads To CDP appeared first on Cloudera Blog.

Process 71

Process Kafka Government Big Data 71

ProjectPro

APRIL 4, 2015

With the help of our best in class Hadoop faculty, we have gathered top Hadoop developer interview questions that will help you get through your next Hadoop job interview. IT organizations from various domains are investing in big data technologies, increasing the demand for technically competent Hadoop developers.

Hadoop 40

Hadoop Big Data Recruitment Java 40

Cloudera

MARCH 9, 2021

In this blog, we’ll highlight the key CDP aspects that provide data governance and lineage and show how they can be extended to incorporate metadata for non-CDP systems from across the enterprise. The example 1_typedef-server.json describes the server typedef used in this blog. . Leveraging Atlas capabilities for assets outside of CDP.

Data Governance 97

Data Governance Government Metadata Datasets 97

ProjectPro

NOVEMBER 7, 2016

Understanding the Hadoop architecture now gets easier! This blog will give you an indepth insight into the architecture of hadoop and its major components- HDFS, YARN, and MapReduce. We will also look at how each component in the Hadoop ecosystem plays a significant role in making Hadoop efficient for big data processing.

Hadoop 40

Hadoop Architecture IT Big Data 40

ProjectPro

JULY 26, 2016

Hiring managers agree that “Java is one of the most in-demand and essential skill for Hadoop jobs. But how do you get one of those hot java hadoop jobs ? You have to ace those pesky java hadoop job interviews artfully. To demonstrate your java and hadoop skills at an interview, preparation is vital.

Java 40

Java Hadoop Bytes Programming 40

LinkedIn Engineering

DECEMBER 19, 2023

Co-authors: Arjun Mohnot , Jenchang Ho , Anthony Quigley , Xing Lin , Anil Alluri , Michael Kuchenbecker LinkedIn operates one of the world’s largest Apache Hadoop big data clusters. Historically, deploying code changes to Hadoop big data clusters has been complex.

Big Data 92

Big Data Hadoop Metadata Data 92

AltexSoft

MAY 14, 2021

Text mining is an advanced analytical approach used to make sense of Big Data that comes in textual forms such as emails, tweets, researches, and blog posts. Apache Hadoop. Apache Hadoop is a set of open-source software for storing, processing, and managing Big Data developed by the Apache Software Foundation in 2006.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 17, 2016

” We hope that this blog post will solve all your queries related to crafting a winning LinkedIn profile. You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. that are usually not present in a resume.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Knowledge Hut

JANUARY 18, 2024

Get to know more about measures of dispersion through our blogs. Hadoop This open-source batch-processing framework can be used for the distributed storage and processing of big data sets. There are four main modules within Hadoop. Hadoop Common is where the libraries and utilities needed by other Hadoop modules reside.

Data Process 52

Data Process Process Hadoop Scala 52

Cloudera

SEPTEMBER 15, 2020

Apache Ranger provides a centralized console to manage authorization and view audits of access to resources in a large number of services including Apache Hadoop’s HDFS, Apache Hive, Apache HBase, Apache Kafka, Apache Solr. Figure 2: Access home directory contents in ADLS-Gen2 via Hadoop command-line. What’s next?

Accessible 79

Accessible Accessibility Cloud Cloud Storage 79

Data Engineering Weekly

FEBRUARY 12, 2023

link] Shopify: The Complex Data Models Behind Shopify's Tax Insights Feature The blog comes at the right time when the data community frequently talks about the lost art of Data Modeling. The blog definitely added to my curiosity to think more. Picnic writes about how it automates pipeline deployment.

Data Engineer 52

Data Engineer Data Engineering Engineering Hadoop 52

Cloudera

SEPTEMBER 9, 2020

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. We will only cover AWS and S3 environments in this blog. We will only cover AWS and S3 environments in this blog.

AWS 84

AWS Data Unstructured Data Hadoop 84

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Apache Oozie — An open-source workflow scheduler system to manage Apache Hadoop jobs. Lenses — The enterprise overlay for Apache Kafka R & Kubernetes. Download the 2021 DataOps Vendor Landscape here.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120