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

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, We enabled Apache Ozone’s FSO feature for the benchmarking tests. ZooKeeper 3.5.5

Cloud 86

Cloud Hadoop Data Analytics Metadata 86

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

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

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

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

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

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Unstructured Data Java SQL 52

Data Engineering Podcast

OCTOBER 14, 2018

Summary With the growth of the Hadoop ecosystem came a proliferation of implementations for the Hive table format. This is a highly detailed and technical exploration of how a well-engineered metadata layer can improve the speed, accuracy, and utility of large scale, multi-tenant, cloud-native data platforms.

Data Lake 100

Data Lake Big Data Cloud Hadoop 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. If not paired with Glue, or another metastore/catalog solution, S3 will also lack some of the metadata structure required for more advanced data management tasks.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

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. . The Atlas – Kafka integration is provided by the Atlas Hook that collects metadata from Kafka and stores it in Atlas.

Cloud 96

Cloud Kafka Metadata SQL 96

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. Atlas provides open metadata management and governance capabilities to build a catalog of all assets, and also classify and govern these assets.

Data Governance 93

Data Governance Government Metadata Datasets 93

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 74

Hadoop SQL Database Kafka 74

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

Data Engineering Podcast

MARCH 22, 2021

e.g. APIs and third party data sources How can we integrage CDC into metadata/lineage tooling? e.g. APIs and third party data sources How can we integrage CDC into metadata/lineage tooling? How do you handle observability of CDC flows? What is involved in debugging a replication flow? How do you handle observability of CDC flows?

Data Warehouse 100

Data Warehouse Metadata Data Lake Hadoop 100

Data Engineering Podcast

FEBRUARY 13, 2022

You can observe your pipelines with built in metadata search and column level lineage. You can observe your pipelines with built in metadata search and column level lineage. – You visually design the pipelines, and Prophecy generates clean Spark code with tests on git; then you visually schedule these pipelines on Airflow.

Building 100

Building Hadoop Data Pipeline Metadata 100

Data Engineering Podcast

JUNE 8, 2021

To help other people find the show please leave a review on iTunes and tell your friends and co-workers Join the community in the new Zulip chat workspace at dataengineeringpodcast.com/chat Links Apache BookKeeper Apache Pulsar Podcast Episode StreamNative Podcast Episode Hadoop NameNode Apache Zookeeper Podcast Episode ActiveMQ Write Ahead Log (WAL) (..)

Data Warehouse 100

Data Warehouse Hadoop Metadata Architecture 100

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

Data Engineering Weekly

FEBRUARY 18, 2024

One can’t deny the role of Redshift in bringing the cloud data warehouse to the masses, starting the end of the Big Data era with Hadoop. I believe the data ownership problem is much deeper than simple metadata management. All the retrospect keeps me wondering, So What is Next? What are we stepping into?

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

Cloudera

JULY 15, 2021

All three will be quorums of Zookeepers and HDFS Journal nodes to track changes to HDFS Metadata stored on the Namenodes. There should be a minimum of three master nodes, two of which will be HDFS Namenodes and YARN Resource Managers. A minimum ensemble of 3 is required to achieve a majority consensus. Networking .

Architecture 97

Architecture Cloud Kafka Hadoop 97

Silectis

JANUARY 3, 2021

Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Data Catalog An organized inventory of data assets relying on metadata to help with data management. HDFS stands for Hadoop Distributed File System.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Cloudera

FEBRUARY 11, 2021

The Ranger plugin base is available only in Java, as most Hadoop ecosystem projects, including Ranger, are written in Java. Metadata should still be granted on db=foo->tbl=* as it is required to check if the newly created table exists, which is the last step of table creation. Table ownership.

Hadoop 52

Hadoop Metadata Java Database 52

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. However, feel free to pick your labels for the volume and bucket and bring your data. ozone sh bucket list /data. git clone [link].

Hadoop 104

Hadoop Kafka Datasets Government 104

Grouparoo

OCTOBER 6, 2021

This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams. For example, grouping the ones about metadata, discoverability, and column naming might have made a lot of sense.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

SEPTEMBER 23, 2020

Access audits are mastered centrally in Apache Ranger which provides comprehensive non-repudiable audit log for every access event to every resource with rich access event metadata such as: IP. Both fine-grained access control of database objects and access to metadata is provided. User, business classification of asset accessed.

Database 81

Database Data Lake Metadata Java 81

Knowledge Hut

MAY 9, 2024

Skills Required Data architects must be proficient in programming languages such as Python, Java, and C++, Hadoop and NoSQL databases, predictive modeling, and data mining, and experience with data modeling tools like Visio and ERWin. Average Annual Salary of Data Architect On average, a data architect makes $165,583 annually.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

Knowledge Hut

NOVEMBER 28, 2023

NoSQL If you think that Hadoop doesn't matter as you have moved to the cloud, you must think again. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem. Data Mining Tools Metadata adds business context to your data and helps transform it into understandable knowledge.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Booking.com Engineering

DECEMBER 2, 2022

BigQuery saves us substantial time — instead of waiting for hours in Hive/Hadoop, our median query run time is 20 seconds for batch, and 2 seconds for interactive queries[3]. As an example, in one of our first BigQuery aggregations, we had a large query that joined statistics data with metadata, then aggregated over it.

Systems 52

Systems Cloud MySQL Relational Database 52

Maxime Beauchemin

JANUARY 20, 2017

This discipline also integrates specialization around the operation of so called “big data” distributed systems, along with concepts around the extended Hadoop ecosystem, stream processing, and in computation at scale. This includes tasks like setting up and operating platforms like Hadoop/Hive/HBase, Spark, and the like.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

DataHub 0.8.36 – Metadata management is a big and complicated topic. On top of that, it’s a part of the Hadoop platform, which created additional work that we otherwise would not have had to do. DataHub is a completely independent product by LinkedIn, and the folks there definitely know what metadata is and how important it is.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

JUNE 25, 2021

The Sentry service serves authorization metadata from the database backed storage; it does not handle actual privilege validation. Hadoop SQL Policies overview. Hive database, table metadata along partitions, Hive UDFs and column statistics. In our example we use the following External Account.

Cloud 69

Cloud Data Lake Cloud Storage Metadata 69

AltexSoft

AUGUST 29, 2023

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. This zone utilizes storage solutions like Hadoop HDFS, Amazon S3, or Azure Blob Storage. Advanced metadata management. Watch our video explaining how data engineering works.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

SEPTEMBER 28, 2020

The customer team included several Hadoop administrators, a program manager, a database administrator and an enterprise architect. Transition from Navigator by migrating the business metadata (tags, entity names, custom properties, descriptions and technical metadata (Hive, Spark, HDFS, Impala) to Atlas. on roadmap).

Cloud 131

Cloud Kafka Professional Services Metadata 131

Data Engineering Weekly

NOVEMBER 6, 2022

[link] Zapr: How We Enhanced Productivity of Zapr’s Data Platform and Saved Costs Of all criticism about Hadoop, Hive, and its ecosystem, one thing it got correct is the Hive metastore. Every data processing engine has one metadata store to integrate.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

ProjectPro

FEBRUARY 16, 2023

AWS Glue has a central metadata repository called the Glue catalog. This ETL engine produces the Scala or Python code for the ETL process and features for ETL jobs monitoring, scheduling, and metadata management. The crawler also helps detect any changes in schema and updates metadata as required.

AWS 52

AWS Data Management ETL Tools Management 52

LinkedIn Engineering

MARCH 21, 2023

To uncover the intended meaning and predominant usage by members and companies on LinkedIn, taxonomists need to investigate LinkedIn skills usage metadata. service and a dataset on Hadoop Distributed File System to power the online and offline use cases respectively. Users can traverse the graph in both top-down and bottom-up fashions.

Building 85

Building Recruitment Machine Learning Deep Learning 85