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. Introduction and Rationale. Role allocation. Networking .

Architecture 97

Architecture Cloud Kafka Hadoop 97

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.); Feel free to enjoy it.

Data Architect 87

Data Architect Certification Generalist Big Data 87

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

Cloudera

AUGUST 10, 2021

With Apache Ozone on the Cloudera Data Platform (CDP) , they can implement a scale-out model and build out their next generation storage architecture without sacrificing security, governance and lineage. Using the Hadoop CLI. The post Generating and Viewing Lineage through Apache Ozone appeared first on Cloudera Blog.

Hadoop 104

Hadoop Kafka Datasets Government 104

Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Responsibilities A data scientist is responsible for identifying data sources, preprocessing data, building predictive models, and analyzing data systems for optimization.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Maxime Beauchemin

JANUARY 20, 2017

Unlike data scientists — and inspired by our more mature parent, software engineering  — data engineers build tools, infrastructure, frameworks, and services. This includes tasks like setting up and operating platforms like Hadoop/Hive/HBase, Spark, and the like. They’re highly analytical, and are interested in data visualization.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Data Engineering Weekly

NOVEMBER 6, 2022

I’m following most of the data professionals, so you can easily build your network from my following list. I plan to write a series of blogs on Schemata and Data Contract in the coming weeks. Martin kindly stepped in for me to give the update for my promised blog posts. I’m at ananth@data-folks.masto.host.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Additionally, individual application teams contributed to test and deploy their jobs.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Cloudera

JUNE 2, 2021

Apache Ozone is a distributed object store built on top of Hadoop Distributed Data Store service. As an important part of achieving better scalability, Ozone separates the metadata management among different services: . Ozone Manager (OM) service manages the metadata of the namespace such as volume, bucket and keys.

Metadata 95

Metadata Hadoop Certification Algorithm 95

Cloudera

SEPTEMBER 1, 2020

DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e. You can use this to build simple dashboards for PoC or other exploratory purposes, out of the box. What does DDE entail?

Cloud Storage 67

Cloud Storage Unstructured Data AWS Analytics Application 67

ProjectPro

JULY 23, 2021

This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Before we get into the technicalities on how one can leverage any AWS service and build some exciting AWS projects, here is a quick overview of AWS to understanding the cloud platform and its services. Table of Contents What is AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 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

ProjectPro

JUNE 14, 2017

Hadoop was first made publicly available as an open source in 2011, since then it has undergone major changes in three different versions. Apache Hadoop 3 is round the corner with members of the Hadoop community at Apache Software Foundation still testing it. The major release of Hadoop 3.x x vs. Hadoop 3.x

Hadoop 52

Hadoop Java Big Data Coding 52

Databand.ai

AUGUST 30, 2023

DataOps tools should provide a comprehensive data cataloging solution that allows organizations to create a centralized repository of their data assets, complete with metadata, data lineage information, and data samples. The primary use of Genie is to manage the running of Hadoop jobs and similar workloads on cloud resources.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 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 Metadata Java 52

Cloudera

AUGUST 14, 2020

One of the key challenges of building an enterprise-class robust scalable storage system is to validate the system under duress and failing system components. One key part of the fault injection service is a very lightweight passthrough fuse file system that is used by Ozone for storing all its persistent data and metadata.

Hadoop 96

Hadoop Bytes Metadata Programming Language 96

AltexSoft

NOVEMBER 7, 2022

Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. By default, Airflow handles metadata with SQLite which is meant for development only. building your own applications based on the Airflow web interface functionality.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Rockset

MAY 8, 2023

The recent and astronomical improvements in accuracy and accessibility of large language models (LLMs) including BERT and OpenAI have made companies rethink how to build relevant search and analytics experiences. In the next sections, we’ll summarize 5 engineering blogs on vector search and highlight key implementation considerations.

Metadata 52

Metadata Algorithm Datasets Google Cloud 52

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. RDBMS stores structured data.

Big Data 52

Big Data Hadoop AWS Relational Database 52

Cloudera

APRIL 22, 2021

Cloudera has partnered with Cisco in helping build the Cisco Validated design (CVD) for Apache Ozone. Collects and aggregates metadata from components and present cluster state. Metadata in cluster is disjoint across components. Cloudera will publish separate blog posts with results of performance benchmarks.

Pipeline-centric 98

Pipeline-centric Data Lake Hadoop Metadata 98

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

ProjectPro

NOVEMBER 22, 2021

StructType is a collection of StructField objects that determines column name, column data type, field nullability, and metadata. To define the columns, PySpark offers the pyspark.sql.types import StructField class, which has the column name (String), column type (DataType), nullable column (Boolean), and metadata (MetaData).

Hadoop 52

Hadoop Python Datasets Metadata 52

Cloudera

AUGUST 21, 2020

Will building on open-source remain our safest option? . They took major investments to develop, build, tune, and stabilize to a productive state by the early developers of these technologies. These platforms represent far more than just “Hadoop” . But the “elephant in the room” is NOT ‘Hadoop’.

Hadoop 73

Hadoop Big Data Cloud Kafka 73

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. For a more in-depth description of these phases please refer to Impala: A Modern, Open-Source SQL Engine for Hadoop. Metadata Caching. See the performance results below for an example of how metadata caching helps reduce latency. Execution Engine.

Metadata 142

Metadata Coding SQL Database 142

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

AltexSoft

OCTOBER 21, 2022

Banks, car manufacturers, marketplaces, and other businesses are building their processes around Kafka to. However, there is a range of open-source client libraries enabling you to build Kafka data pipelines with practically any popular programming language or framework. Kafka vs Hadoop. You can find off-the-shelf links for.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

ProjectPro

JANUARY 27, 2016

Installing Hadoop cluster in production is just half the battle won. It is extremely important for a Hadoop admin to tune the Hadoop cluster setup to gain maximum performance. During Hadoop installation , the cluster is configured with default configuration settings which are on par with the minimal hardware configuration.

Hadoop 40

Hadoop Big Data Unstructured Data Portfolio 40

Big Data Tools

SEPTEMBER 6, 2021

There are also several changes in KRaft (namely Revise KRaft Metadata Records and Producer ID generation in KRaft mode ), along with many other changes. Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. Support for Scala 2.12

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. Either way, these promises, whether an API or a schema, is what allows us to connect microservices to each other and use them to build larger applications. It is not just about services.

Kafka 110

Kafka Insurance Architecture Database 110

Monte Carlo

MARCH 2, 2023

Data health insights, metadata that surfaces the data health of different data assets, can help reveal where data teams need to spend more time and resources. Data literacy programs along with building understanding of how data is actually collected in the field. The answer? Improve Degraded Queries Uh oh.

Food 52

Food Data SQL Data Pipeline 52

ProjectPro

AUGUST 24, 2021

And, out of these professions, this blog will discuss the data engineering job role. Data Warehousing: Data warehousing utilizes and builds a warehouse for storing data. Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

ProjectPro

NOVEMBER 15, 2021

This blog will walk through the most popular and fascinating open source big data projects. It even allows you to build a program that defines the data pipeline using open-source Beam SDKs (Software Development Kits) in any three programming languages: Java, Python, and Go.

Big Data 52

Big Data Project Metadata Programming Language 52

Big Data Tools

SEPTEMBER 6, 2021

There are also several changes in KRaft (namely Revise KRaft Metadata Records and Producer ID generation in KRaft mode ), along with many other changes. Cache for ORC metadata in Spark – ORC is one of the most popular binary formats for data storage, featuring awesome compression and encoding capabilities. Support for Scala 2.12

Data Engineering 40

Data Engineering Data Engineer Engineering Big Data Tools 40

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. NMDB is built to be a highly scalable, multi-tenant, media metadata system that can serve a high volume of write/read throughput as well as support near real-time queries.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

MAY 30, 2016

The next in the series of articles highlighting the most commonly asked Hadoop Interview Questions, related to each of the tools in the Hadoop ecosystem is - Hadoop HDFS Interview Questions and Answers. HDFS vs GFS HDFS(Hadoop Distributed File System) GFS(Google File System) Default block size in HDFS is 128 MB.

Hadoop 40

Hadoop Metadata Big Data Portfolio 40

ProjectPro

JULY 6, 2016

This article will give you a sneak peek into the commonly asked HBase interview questions and answers during Hadoop job interviews. But at that moment, you cannot remember, and then blame yourself mentally for not preparing thoroughly for your Hadoop Job interview. HBase provides real-time read or write access to data in HDFS.

Hadoop 40

Hadoop Bytes Metadata MongoDB 40