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

AUGUST 29, 2023

This article explains what a data lake is, its architecture, and diverse use cases. Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. An example of a data lake architecture. Who needs a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

AltexSoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. What is a data lakehouse?

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

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

Monte Carlo

JUNE 14, 2023

In this post, we will help you quickly level up your overall knowledge of data pipeline architecture by reviewing: Table of Contents What is data pipeline architecture? Why is data pipeline architecture important? What is data pipeline architecture? Why is data pipeline architecture important?

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Introduction.

Hadoop 85

Hadoop Cloud AWS Utilities 85

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? Snowflake is not based on existing database systems or big data software platforms like Hadoop.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Monte Carlo

APRIL 16, 2022

The challenge with passive ETL or transformations in the warehouse The modern data warehouse architecture creates problems across many layers. There are several problems with an architecture and process that heavily relies on transforming data once it has entered the data warehouse. Image courtesy of Chad Sanderson.

Data Warehouse 52

Data Warehouse Architecture Data Government 52

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Data ingestion through ‘s3’. As described above, Ozone introduces volumes to the world of S3.

Data Science 111

Data Science Cloud Hadoop Metadata 111

Data Engineering Podcast

MAY 18, 2021

Summary Data lineage is the common thread that ties together all of your data pipelines, workflows, and systems. In order to eliminate the wasted effort of building custom integrations every time you want to combine lineage information across systems Julien Le Dem introduced the OpenLineage specification.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

AltexSoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. Companies employ Spark for customer churn prediction , fraud detection , and recommender systems. Data analysis.

Big Data 52

Big Data Data Process Process Hadoop 52

Cloudera

APRIL 22, 2021

on Cisco UCS S3260 M5 Rack Server with Apache Ozone as the distributed file system for CDP. Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects.

Pipeline-centric 100

Pipeline-centric Data Lake Hadoop Metadata 100

ProjectPro

JUNE 22, 2017

What is a Hadoop Cluster? In general, a computer cluster is a collection of various computers that work collectively as a single system. “A hadoop cluster is a collection of independent components connected through a dedicated network to work as a single centralized data processing resource.

Hadoop 52

Hadoop IT Data Analysis Big Data 52

ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. RDBMS is a part of system software used to create and manage databases based on the relational model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

JUNE 8, 2021

Summary The way to build maintainable software and systems is through composition of individual pieces. One such component that has gone above and beyond its originally envisioned use case is BookKeeper, a distributed storage system that is optimized for durability and speed. Can you describe the architecture of a BookKeeper cluster?

Data Warehouse 100

Data Warehouse Hadoop Metadata Architecture 100

Data Engineering Weekly

DECEMBER 29, 2022

Data catalogs are the most expensive data integration systems you never intended to build. Data Catalog as a passive web portal to display metadata requires significant rethinking to adopt modern data workflow, not just adding “modern” in its prefix. There are not many sources to pull the metadata. The modern(?)

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

Cloudera

OCTOBER 15, 2021

Apache Ozone has added a new feature called File System Optimization (“FSO”) in HDDS-2939. The FSO feature provides file system semantics (hierarchical namespace) efficiently while retaining the inherent scalability of an object store. We enabled Apache Ozone’s FSO feature for the benchmarking tests.

Cloud 87

Cloud Hadoop Data Analytics Metadata 87

ProjectPro

JULY 8, 2021

A detailed introduction to Apache Kafka Architecture, one of the most popular messaging systems for distributed applications. Spotify uses Kafka as part of its log delivery system. Apache Kafka has a distributed architecture capable of handling incoming messages with higher volume and velocity. So why is Kafka so popular?

Kafka 40

Kafka Architecture IT Big Data 40

ProjectPro

JANUARY 12, 2016

Choosing the right Hadoop Distribution for your enterprise is a very important decision, whether you have been using Hadoop for a while or you are a newbie to the framework. Different Classes of Users who require Hadoop- Professionals who are learning Hadoop might need a temporary Hadoop deployment.

Hadoop 52

Hadoop Big Data Metadata Java 52

Data Engineering Podcast

DECEMBER 16, 2019

The solution to discoverability and tracking of data lineage is to incorporate a metadata repository into your data platform. The metadata repository serves as a data catalog and a means of reporting on the health and status of your datasets when it is properly integrated into the rest of your tools.

Metadata 100

Metadata PostgreSQL Datasets Data Warehouse 100

Data Engineering Weekly

JUNE 29, 2023

Databricks and Snowflake are better places to index the data and its metadata to enable natural language query capabilities. The question remains how far the data catalog tools can go with just the metadata. It significantly increases the friction in integrating this system, which soon becomes a nightmare.

Data Engineering 76

Data Engineering Data Engineer Google Cloud Engineering 76

Data Engineering Podcast

MARCH 22, 2021

For analytical systems, the only way to provide this reliably is by implementing change data capture (CDC). Unfortunately, this is a non-trivial undertaking, particularly for teams that don’t have extensive experience working with streaming data and complex distributed systems. What are the alternatives to CDC?

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

ProjectPro

NOVEMBER 6, 2015

Hadoop has continued to grow and develop ever since it was introduced in the market 10 years ago. Every new release and abstraction on Hadoop is used to improve one or the other drawback in data processing, storage and analysis. Apache Hive is an abstraction on Hadoop MapReduce and has its own SQL like language HiveQL.

Hadoop 52

Hadoop SQL Java Metadata 52

AltexSoft

OCTOBER 21, 2022

After trying all options existing on the market — from messaging systems to ETL tools — in-house data engineers decided to design a totally new solution for metrics monitoring and user activity tracking which would handle billions of messages a day. Kafka architecture. Kafka cluster architecture. Practically, nothing.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

FEBRUARY 18, 2016

With big data seeping into every facet of our lives, we are trying to build robust systems which can process petabytes of data in a fast and accurate manner. Apache Hadoop, an open source framework is used widely for processing gigantic amounts of unstructured data on commodity hardware. Table of Contents What is Apache Zookeeper?

Hadoop 40

Hadoop Management Metadata Java 40

Ascend.io

APRIL 19, 2023

Previous eras of data infrastructure, such as Teradata and Informatica, gave way to “big data” platforms like Hadoop and Spark, which initially catered to infrastructure experts rather than a broader audience. The modern data stack emerged as a response to a glaring gap in the data ecosystem: a dearth of developer tools.

Metadata 52

Metadata Business Analyst Hadoop Software Engineer 52

ProjectPro

SEPTEMBER 16, 2021

The edge that NoSql provides over their SQL counterparts is high scalability and faster read/write performances, highly appreciated features in Distributed Systems. Apache Hbase was developed after the architecture of Google's NoSQL database - Bigtable - to run on HDFS in Hadoop systems.

NoSQL 52

NoSQL Database Hadoop Big Data 52

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. then you are on the right page.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.

Hadoop 40

Hadoop Big Data Coding Project 40

Knowledge Hut

MAY 9, 2024

Data science is an interdisciplinary academic domain that utilizes scientific methods, scientific computing, statistics, algorithms, processes, and systems to extrapolate or extract knowledge and insights from unstructured, structured, and noisy data. What is Data Science? The standard salary range, however, is $95,000 to $154,000.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

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 Metadata 40

ProjectPro

MAY 1, 2018

News on Hadoop - April 2018 Big Data and Cambridge Analytica: 5 Big Picture Truths.Datamation.com, April 2, 2018. where plain Hadoop was at 1.0 Source -[link] ) Africa has the potential to be a leader in open source distributed computing, says Standard Bank Hadoop expert.Computing.co.uk, April 26, 2018.

Hadoop 40

Hadoop Banking Healthcare Food 40

ProjectPro

AUGUST 24, 2016

Facebook Messenger uses HBase architecture and many other companies like Flurry, Adobe Explorys use HBase in production. In spite of a few rough edges, HBase has become a shining sensation within the white hot Hadoop market. HBase is an important component of the Hadoop ecosystem that leverages the fault tolerance feature of HDFS.

Architecture 40

Architecture IT Hadoop NoSQL 40

ProjectPro

APRIL 11, 2016

Let’s face it; the Hadoop Interview process is a tough cookie to crumble. If you are planning to pursue a job in the big data domain as a Hadoop developer , you should be prepared for both open-ended interview questions and unique technical hadoop interview questions asked by the hiring managers at top tech firms.

Hadoop 40

Hadoop Big Data Java Unstructured Data 40

Cloudera

NOVEMBER 8, 2022

Ozone is also highly available — the Ozone metadata is replicated by Apache Ratis, an implementation of the Raft consensus algorithm for high-performance replication. Since Ozone supports both Hadoop FileSystem interface and Amazon S3 interface, frameworks like Apache Spark, YARN, Hive, and Impala can automatically use Ozone to store data.

Metadata 82

Metadata Algorithm Hadoop Cloud 82

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 76

Hadoop SQL Database Kafka 76