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. Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

DECEMBER 3, 2024

Despite various architectural patterns and paradigms, they still end up with perpetual “data puddles” and silos in many non-interoperable data formats. REST Catalog Value Proposition It provides open, metastore-agnostic APIs for Iceberg metadata operations, dramatically simplifying the Iceberg client and metastore/engine integration.

Metadata 52

Metadata SQL Database Data Warehouse 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. Traditional data warehouse platform architecture. Data lake architecture example. Lakehouse architecture. What is a data lakehouse?

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. At its core, a table format is a sophisticated metadata layer that defines, organizes, and interprets multiple underlying data files. The answer isn’t as simple as it used to be.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 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

Cloudera

SEPTEMBER 15, 2022

It was designed as a native object store to provide extreme scale, performance, and reliability to handle multiple analytics workloads using either S3 API or the traditional Hadoop API. In this blog post, we will talk about a single Ozone cluster with the capabilities of both Hadoop Core File System (HCFS) and Object Store (like Amazon S3).

Systems 89

Systems Hadoop Metadata Telecommunication 89

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

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

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

ProjectPro

JUNE 22, 2017

What is a Hadoop Cluster? “A hadoop cluster is a collection of independent components connected through a dedicated network to work as a single centralized data processing resource. Table of Contents What is a Hadoop Cluster? Hadoop cluster setup is inexpensive as they are held down by cheap commodity hardware.

Hadoop 52

Hadoop IT Data Analysis Big Data 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 Data Architect 52

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 Java Metadata 52

Cloudera

APRIL 22, 2021

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. Collects and aggregates metadata from components and present cluster state.

Pipeline-centric 102

Pipeline-centric Data Lake Hadoop Metadata 102

Snowflake

MARCH 29, 2023

As announced at Snowflake Summit 2022 , Iceberg Tables combines unique Snowflake capabilities with Apache Iceberg and Apache Parquet open source projects to support your architecture of choice. Iceberg supports many catalog implementations: Hive, AWS Glue, Hadoop, Nessie, Dell ECS, any relational database via JDBC, REST, and now Snowflake.

Metadata 98

Metadata Scala Hadoop Relational Database 98

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

Data Engineering Podcast

MAY 18, 2021

Your host is Tobias Macey and today I’m interviewing Julien Le Dem about Open Lineage, a new standard for structuring metadata to enable interoperability across the ecosystem of data management tools. What is the current state of the ecosystem for generating and sharing metadata between systems?

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

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

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. Two key abstractions in Spark architecture are the Resilient Distributed Dataset (RDD) and the Directed Acyclic Graph (DAG).

Big Data 52

Big Data Data Process Process Hadoop 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. Data Variety Hadoop stores structured, semi-structured and unstructured data. Hardware Hadoop uses commodity hardware.

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JULY 8, 2021

A detailed introduction to Apache Kafka Architecture, one of the most popular messaging systems for distributed applications. Apache Kafka has a distributed architecture capable of handling incoming messages with higher volume and velocity. The first COVID-19 cases were reported in the United States in January 2020.

Kafka 40

Kafka Architecture IT Big Data 40

ProjectPro

FEBRUARY 18, 2016

Apache Hadoop, an open source framework is used widely for processing gigantic amounts of unstructured data on commodity hardware. Four core modules form the Hadoop Ecosystem : Hadoop Common, HDFS, YARN and MapReduce. Hadoop requires a workflow and cluster manager, job scheduler and job tracker to keep the jobs running smoothly.

Hadoop 40

Hadoop Management Java Metadata 40

Data Engineering Podcast

JUNE 8, 2021

In this episode Matteo Merli shares the story behind the creation of BookKeeper, the various ways that it is being used today, and the architectural aspects that make it such a strong building block for projects such as Pulsar. Can you describe the architecture of a BookKeeper cluster?

Data Warehouse 100

Data Warehouse Hadoop Metadata Architecture 100

Monte Carlo

APRIL 24, 2023

However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture. Databricks also pioneered the modern data lakehouse architecture, which combines the best of data lakes and data warehouses.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 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

Cloudera

OCTOBER 15, 2021

With FSO, Apache Ozone guarantees atomic directory operations, and renaming or deleting a directory is a simple metadata operation even if the directory has a large set of sub-paths (directories/files) within it. which contains Hadoop 3.1.1, Apache Ozone – Object Store Architecture. ZooKeeper 3.5.5 Further Reading.

Cloud 90

Cloud Hadoop Data Analytics Metadata 90

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

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

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. AWS EMR replicated the exact Hadoop layer and burned these two companies (combined).

Data Engineering 76

Data Engineering Data Engineer Google Cloud Engineering 76

Data Engineering Weekly

DECEMBER 29, 2022

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. I know that is an expensive statement to make😊 To be fair, I’m a big fan of data catalogs, or metadata management , to be precise. The modern(?)

Metadata 62

Metadata Data Warehouse ETL Tools Data Workflow 62

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

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

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

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 80

Hadoop SQL Database Kafka 80

ProjectPro

SEPTEMBER 16, 2021

Apache Hbase was developed after the architecture of Google's NoSQL database - Bigtable - to run on HDFS in Hadoop systems. At the same time, Apache Cassandra has architecture modeled after DynamoDB and Bigtable. Cassandra - Components HBase and Cassandra’s architectures are quite different.

NoSQL 52

NoSQL Database Hadoop Big Data 52

Data Engineering Podcast

MARCH 22, 2021

e.g. parallelism Can you describe the technical implementation and architecture that you use for implementing CDC? e.g. APIs and third party data sources How can we integrage CDC into metadata/lineage tooling? e.g. parallelism Can you describe the technical implementation and architecture that you use for implementing CDC?

Data Warehouse 100

Data Warehouse Metadata Hadoop Data Lake 100

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