ProjectPro

JULY 21, 2015

Apache Hive is an effective standard for SQL-in- Hadoop. Hive is a front end for parsing SQL statements, generating logical plans, optimizing logical plans, translating them into physical plans which are executed by MapReduce jobs. Impala is an open source SQL query engine developed after Google Dremel.

Hadoop 40

Hadoop SQL NoSQL Kafka 40

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 78

Hadoop SQL Database Kafka 78

Data Engineering Podcast

JANUARY 13, 2019

Links TimescaleDB Original Appearance on the Data Engineering Podcast 1.0 Links TimescaleDB Original Appearance on the Data Engineering Podcast 1.0

Database 100

Database PostgreSQL SQL MongoDB 100

Cloudera

AUGUST 10, 2021

Enhanced analytic features that deliver faster SQL queries and ETL with Hive on Tez and Impala, improved Spark with support for Spark 3.1 Apache Ozone enhancements deliver full High Availability providing customers with enterprise-grade object storage and compatibility with Hadoop Compatible File System and S3 API. .

Cloud 97

Cloud Kafka Metadata SQL 97

Knowledge Hut

SEPTEMBER 6, 2023

Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing. Intellipaat Big Data Hadoop Certification Introduction : This Big Data training course helps you master big data and Hadoop skills like MapReduce, Hive, Sqoop, etc.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

APRIL 25, 2023

Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. Looker also provides an SQL-based interface for querying and analyzing data, which makes it easy for data engineers to integrate with existing tools and applications.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Podcast

JANUARY 6, 2019

Summary The Hadoop platform is purpose built for processing large, slow moving data in long-running batch jobs. For a perfect pairing, they made it easy to connect to the Impala SQL engine. How does it fit into the Hadoop ecosystem? Can you start by explaining what Kudu is and the motivation for building it?

Data Analytics 100

Data Analytics Hadoop Kafka Media 100

ProjectPro

AUGUST 30, 2016

Bank of America has tapped into Hadoop technology to manage and analyse the large amounts of customer and transaction data that it generates. Big Data analytics and Hadoop are the heart of ‘BankAmeriDeals’ program, that provides cashback offers to bank’s credit and debit card holders. signing bonus, $68.9K

Banking 40

Banking Hadoop MySQL Big Data 40

Knowledge Hut

MAY 2, 2024

It is also friendly for database developers as it provides Spark SQL which supports most of the ANSI SQL functionality. Features of Spark Speed : According to Apache, Spark can run applications on Hadoop cluster up to 100 times faster in memory and up to 10 times faster on disk. Spark streaming also supports Structure Streaming.

Scala 52

Scala Hospitality Healthcare Retail 52

ProjectPro

FEBRUARY 21, 2023

A good understanding of big data technologies like Hadoop, HDFS, Hive, HBase is important to be able to integrate them with Apache Spark applications. Understanding of SQL database integration (Microsoft, Oracle, Postgres , and/or MySQL ). Working knowledge of S3, Cassandra, or DynamoDB. What is the Databricks Spark Certification?

Scala 52

Scala Programming Language Java Hadoop 52

Data Engineering Podcast

MAY 20, 2018

Presto is a distributed SQL engine that allows you to tie all of your information together without having to first aggregate it all into a data warehouse. For someone who is using the Presto SQL interface, what are some of the considerations that they should keep in mind to avoid writing poorly performing queries?

PostgreSQL 100

PostgreSQL Hadoop SQL Kafka 100

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

Big Data Tools

JULY 13, 2022

It made me think that the era of on-premises free Hadoop installations had come to an end. I’m actually happy that this has happened – Hadoop was there for me at the very beginning of my career and I have very positive feelings associated with it. However, a miracle happened!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JULY 13, 2022

It made me think that the era of on-premises free Hadoop installations had come to an end. I’m actually happy that this has happened – Hadoop was there for me at the very beginning of my career and I have very positive feelings associated with it. However, a miracle happened!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Data Engineering Podcast

AUGUST 3, 2021

With Census, just write SQL or plug in your dbt models and start syncing your cloud warehouse to SaaS applications like Salesforce, Marketo, Hubspot, and many more. With Census, just write SQL or plug in your dbt models and start syncing your cloud warehouse to SaaS applications like Salesforce, Marketo, Hubspot, and many more.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

Data Engineering Podcast

DECEMBER 9, 2018

How does it compare to some of the other streaming frameworks such as Flink, Kafka, or Storm? How does it compare to some of the other streaming frameworks such as Flink, Kafka, or Storm? What are some of the problems that Spark is uniquely suited to address? Who uses Spark? What are the tools offered to Spark users? Who uses Spark?

Scala 100

Scala MySQL Kafka Hadoop 100

Cloudera

SEPTEMBER 28, 2020

The customer also wanted to utilize the new features in CDP PvC Base like Apache Ranger for dynamic policies, Apache Atlas for lineage, comprehensive Kafka streaming services and Hive 3 features that are not available in legacy CDH versions. ACID transactions, ANSI 2016 SQL SupportMajor Performance improvements. Kafka, SRM, SMM.

Cloud 132

Cloud Kafka Professional Services Metadata 132

Big Data Tools

JUNE 8, 2022

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. Impala 4.1.0 – While almost all data engineering SQL query engines are written in JVM languages, Impala is written in C++. Perhaps Bookkeeper would suit your needs better!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

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. Impala 4.1.0 – While almost all data engineering SQL query engines are written in JVM languages, Impala is written in C++. Perhaps Bookkeeper would suit your needs better!

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Cloudera

AUGUST 10, 2021

Using the Hadoop CLI. By creating this policy, we’re allowing SQL actions access to the volume and the bucket within it. 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. Now we can begin loading data.

Hadoop 105

Hadoop Kafka Datasets Government 105

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

NOVEMBER 18, 2018

How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? Can you start by describing what Flink is and how the project got started? What are some of the primary ways that Flink is used? How is Flink architected?

Process 100

Process Scala Google Cloud Kafka 100

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

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Hard Skills SQL, which includes memorizing a query and resolving optimized queries. Apache Hadoop-based analytics to compute distributed processing and storage against datasets.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Table of Contents Why Apache Hadoop?

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

NOVEMBER 2, 2023

CSV, SQL Server), transform it, and load it into a target storage (e.g., Azure SQL Database, Azure Data Lake Storage). Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop. A strong understanding of data sourcing with SQL.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Cloud Academy

JANUARY 27, 2022

Many of them are already familiar with SQL or have experience working with databases, whether they’re relational or non-relational. Get a basic understanding of SQL A second requirement is to have a basic understanding of SQL. Apache Kafka Amazon MSK and Kafka Under the Hood Apache Kafka is an open-source streaming platform.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

Understanding SQL You must be able to write and optimize SQL queries because you will be dealing with enormous datasets as an Azure Data Engineer. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

MARCH 28, 2024

Implemented and managed data storage solutions using Azure services like Azure SQL Database , Azure Data Lake Storage, and Azure Cosmos DB. Education & Skills Required Proficiency in SQL, Python, or other programming languages. Experience with Azure data services like Azure SQL Database, Azure Data Factory, and Azure Databricks.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

FEBRUARY 11, 2018

Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? How is Timescale implemented and how has the internal architecture evolved since you first started working on it? What impact has the 10.0 What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Ascend.io

SEPTEMBER 14, 2023

Read More: Data Automation Engineer: Skills, Workflow, and Business Impact Python for Data Engineering Versus SQL, Java, and Scala When diving into the domain of data engineering, understanding the strengths and weaknesses of your chosen programming language is essential. Statically typed, requiring type definition upfront.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Data Engineering Podcast

DECEMBER 30, 2019

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 DataDog Hadoop Hive Yarn Chef SRE == Site Reliability Engineer Application Performance Management (APM) Apache Kafka RocksDB Cassandra Apache Parquet data (..)

Process 100

Process Building Hadoop Java 100

Monte Carlo

APRIL 24, 2023

Snowflake simplifies data ingestion, querying, and transformation through its built-in support for SQL and compatibility with numerous data processing and integration tools. Sonar’s SQL Runner interface enables analysts to query data through features like auto-complete, multi-statement execution, and script sharing.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

JANUARY 22, 2024

Students learn to work with tools like Tableau, Excel, SQL etc. Cloud Computing Cloud computing courses focus on deploying and managing big data platforms like Hadoop, Spark, Kafka etc on cloud infrastructure. Students work with SQL, NoSQL databases, Hadoop ecosystem, Spark, Kafka etc.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

DECEMBER 7, 2021

You can use big-data processing tools like Apache Spark , Kafka , and more to create such pipelines. Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop Apache Airflow Projects For Practice If you want to understand Apache Airflow, here is an interesting project idea you should work on.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

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. Hadoop / HDFS Apache’s open-source software framework for processing big data. HDFS stands for Hadoop Distributed File System.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Big Data Tools

NOVEMBER 8, 2021

Apache Spark® has been released and there are a load of changes, including ANSI SQL support, Pandas API layer over PySpark, and lots and lots of other things. If you are curious about what Apache Ranger is – it’s the framework set up to maintain security over the whole Hadoop platform. Parquet support?”

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52