Cloudera

JUNE 15, 2021

We can run the playbook in stages using some specific tags , or just run the whole thing end to end. <Comma separated list of tags> To run the playbook in increments. at the time of writing if you are using your Cloudera License File in your Profile explained earlier, although 7.1.4 admin_password ). --ask-pass. ask-pass. <no

Cloud 83

Cloud AWS Kafka Management 83

Netflix Tech

JANUARY 25, 2023

Annotations Sometimes people describe annotations as tags but that is a limited definition. All data should be also available for offline analytics in Hive/Iceberg. Our team, Asset Management Platform, decided to create a generic service called Marken which allows any microservice at Netflix to annotate their entity.

Algorithm 113

Algorithm Media Metadata Data Ingestion 113

Knowledge Hut

JUNE 20, 2023

Examples Pull daily tweets from the data warehouse hive spreading in multiple clusters. Data engineers must familiarize themselves with distributed computing platforms like Hive, Hadoop, and Spark. Knowing to branch, merge, and tag ideas and experience using version control systems like Git is crucial.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Cloudera

SEPTEMBER 23, 2020

Apache Ranger fine-grained policies enable dynamic row filtering through SQL query compile time when SQL based relational constructs are used on OpDB (Hive on HBase). For example, you can tag columns or column families as having PII and providing conditional access to users and groups based on such classifications.

Database 81

Database Data Lake Metadata Java 81

Cloudera

JANUARY 20, 2021

To keep the example simple, the following data attribute tags were chosen for each part generated by the factories: . Factory ID. Machine ID. Manufactured timestamp. Part number. Serial number. Fig 2: Data collection flow diagram. STEP 3: Monitor data throughput from each factory.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

Cloudera

FEBRUARY 11, 2021

Resource-based access control (RBAC) policies can be set up for Kudu in Ranger, but Kudu currently doesn’t support tag-based policies, row-level filtering or column masking. It is important to note that Kudu stores all its metadata internally, while Impala depends on Hive Metastore.

Hadoop 52

Hadoop Metadata Java Database 52

ProjectPro

APRIL 20, 2017

In this hadoop project, JSON data format is loaded into Hive and the data is analysed in Hive. Analyse JSON data; Loading JSON format to Hive Create a Schema to the fields in the table. Creating queries to set up the EXTERNAL TABLE in Hive Create new desired TABLE to copy the data. Analyse log files in HIVE.

Hadoop 40

Hadoop Big Data Coding Project 40

Cloudera

APRIL 30, 2021

All required dependencies (such as the Hive Warehouse connector) are already included in the base image run by CDE and are made available to the Spark program at runtime. To deploy this example, follow these steps – Get the base image name & tag from the Cloudera docker repository. Getting started with CDE .

Python 62

Python Data Engineering Data Engineer Engineering 62

ProjectPro

NOVEMBER 14, 2015

Hadoop Sample Real-Time Project #1: Hive Project - Visualising Website Clickstream Data with Apache Hadoop Problem: Ecommerce and other commercial websites track where visitors click and the path they take through the website. Data Integration 3.Scalability Scalability 4.Link Link Prediction 5.Cloud Cloud Hosting 6.Specialized

Hadoop 52

Hadoop Project Big Data Healthcare 52

Cloudera

JANUARY 21, 2022

Apache Ranger consolidates security policy management with tag based access controls, robust auditing and integration with existing corporate directories. Note: Take care with the Hive privilege synchronizer. A zone can be extended to include resources from multiple services such as HDFS, Hive, HBase, Kafka, etc., Apache Atlas.

Architecture 107

Architecture Transportation Certification Government 107

Cloudera

OCTOBER 18, 2022

This brings data directly into the Data Warehouse , which is stored as Parquet into Hive/Impala tables on HDFS. We were also able to attribute indirect costs, such as network charges, by joining this data back to instance data that was already tagged, a feature lacking in the SaaS product.

Cloud 85

Cloud IT Data Warehouse AWS 85

ProjectPro

FEBRUARY 18, 2022

Then, create a data pipeline that uses Apache Hive and Druid to analyze the data. After that, you'll compare the results and use AWS Quicksight to visualize the data and explore hive optimization approaches. The data includes video title, channel title, publishing time, tags, views, likes and dislikes, description, etc.

Project 52

Project AWS Kafka Healthcare 52

Cloudera

MAY 26, 2021

Using Cloudera Manager we will set the following settings on the Hive on Tez service: Hive Service Advanced Configuration Snippet (Safety Valve) for ranger-hive-audit.xml. appender.RANGERAUDIT.name=RANGERAUDIT appender.RANGERAUDIT.fileName=/var/log/hive/ranger-audit.log. Name: xasecure.audit.destination.log4j. salary-s07.salary

Systems 71

Systems Cloud Hadoop Healthcare 71

Cloudera

SEPTEMBER 9, 2022

As a result, Iceberg supports Spark, Dremio, Presto, Impala, Hive, Flink, and more. CDP uses tight compute integration with Apache Hive, Impala, and Spark, ensuring optimal read and write performance. With CDP, Cloudera has added an easy alter table statement that migrates Hive managed tables to Iceberg tables without skipping a beat.

Architecture 97

Architecture Metadata Unstructured Data Machine Learning 97

Airbnb Tech

APRIL 13, 2021

Apache Airflow , Apache Hive, Apache Spark ) and extensive analytics infrastructure (i.e., Project Name  — This is a user-defined tag which is surfaced in the CUR data. For example, the Viaduct project has its own tag. Most teams at Airbnb rely on the data warehouse (i.e., We use this dimension for capacity management.

AWS 52

AWS Raw Data Amazon Web Services Cloud 52

ProjectPro

AUGUST 24, 2021

The next step is to build a data engineering pipeline to analyze the data using Apache Hive and Druid. You will then compare the performances to discuss hive optimization techniques and visualize the data using AWS Quicksight. The data will be processed and analyzed in the PySpark cluster and ingested to the Hive database.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Zalando Engineering

JUNE 9, 2022

Data Environment A data environment is a set of Spark/Hive databases, tables and views. Furthermore, we add the environment name as a tag to enable filtering on environments. ')[ 1 ]} tags. To enable isolation on data level we implemented a script which spins up a new Data Environment consisting of Spark/Hive tables on S3.

Database 52

Database Coding Python AWS 52

ProjectPro

JANUARY 25, 2022

Source Code: PySpark Tutorial - Learn to use Apache Spark with Python Create A Data Pipeline based on Messaging Using PySpark Hive Simulating a complex real-world data pipeline based on messaging is the goal of this PySpark project. This Twitter Support project aims to listen to live tweets with needed tags and publish them to a Kafka topic.

Big Data 52

Big Data Data Process Process Kafka 52

AltexSoft

JUNE 7, 2021

There are other tools like Apache Pig and Apache Hive that simplify the use of Hadoop and HBase for data experts who typically know SQL. Hive, created at Facebook is a kind of query engine, utilizing the query-processing language Hive QL, that is also very similar to SQL. Data management and monitoring options. risk management.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Snowflake

MARCH 30, 2023

External table registration and consumption as: Parquet : A popular column-oriented data file format for analytics AVRO : A serialization format for data under streaming pipelines ORC : An optimized row-columnar file format designed for Hive Iceberg : An open table format specifically designed for analytical queries.

Engineering 82

Engineering Raw Data Data Science Scala 82

AltexSoft

JULY 18, 2023

Besides SQL syntax, it supports Hive Query Language, which enables interaction with Hive tables. Moreover, Hadoop’s ecosystem includes other components like HBase for column-oriented databases, Pig for dataflow scripting, and Hive for data summarization, query, and analysis.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

APRIL 27, 2016

A lot of innovations have been tagged along the tiny toy elephant, which work together if an organization knows how to make these big data tools work. Apache Hive Using Hadoop was not easy for end users, particularly for people who were not from a programming background.

Hadoop 40

Hadoop Big Data Technology Big Data Tools 40

ProjectPro

NOVEMBER 30, 2021

Apache Hive Apache Hive is a data warehousing and ETL tool developed on top of the Hadoop platform for large-scale data summarization, analysis, and querying. Large data management and querying are easier with the Apache Hive data warehouse software. The data is present in CSV file format. along with ETL.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Monte Carlo

JUNE 14, 2022

Those policies can now be applied to tags that are assigned to multiple columns. Iceberg brings the reliability and simplicity of SQL tables to big data, while making it possible for engines like Apache Spark, Trino, Flink, Presto, and Hive to safely work with the same tables, at the same time.

Cloud 52

Cloud Data Ingestion Government Python 52

ProjectPro

JUNE 24, 2021

Through this project, it will be possible to understand more about the concept of speech tagging, the difference between stemming and lemmatization and applications of sparse matrices. Hive is an SQL-like interface which allows one to query data that is present in the Hadoop ecosystem for the purpose of analysis.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

MARCH 17, 2014

million messages sent, 1 million tags, 1.5 The Hadoop ecosystem consists of a set of tools such as MapReduce, Hive, Pig, etc. As those utilities got formalized and became projects themselves and were supported by commercial distributors, the list grew: Pig, Hive, HBase , and Zookeeper were Hadoop too. million event invites, 1.9

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52

phData: Data Engineering

JANUARY 3, 2022

This requires data classification, tagging, and access constraints. If you’re gathering data from various systems, a data engineer is responsible for applying the classification and tagging rules upon collection. This might include adding additional data points to the collected data or storing data separately on disk.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

JANUARY 18, 2024

Convolutional neural networks powers computer vision to find applications in photo tagging, radiology imaging in healthcare, etc. Computer Vision: In this domain, digital images, videos, and other visual formats form the input for AI, which enables the computer to derive meaningful inputs based on which actions can be performed.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

MAY 31, 2021

If you are a student looking for Apache Big Data projects, this is a perfect place to start since this project can be developed using Apache Hive. The Apache Hadoop open source big data project ecosystem with tools such as Pig, Impala, Hive, Spark, Kafka Oozie, and HDFS can be used for storage and processing.

Big Data 52

Big Data Coding Project Hadoop 52

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak empowers organizations to maximize their ROI from existing analytics infrastructure through interoperability.

Data Engineering 90

Data Engineering Data Engineer Cloud Engineering 90

Robinhood

FEBRUARY 7, 2024

We chose Apache Airflow for workflow management, Amazon (AWS) S3 for cloud-based storage, and Hive Metastore as our data catalog. Ensure Spark job resiliency on scale down: To enable the aggressive auto-scale down without concern, we moved the Spark driver to a separate instance group and tagged the AC to treat driver pod as in-churnable.

Process 75

Process Hadoop Architecture Accessible 75