Data Engineering Podcast

JUNE 14, 2021

Typically this means downloading files from object storage, or querying a database. To speed up the process, why not build the model inside the database so that you don’t have to move the information? Can you start by giving an overview of the current state of the market for databases that support in-process machine learning?

Machine Learning 100

Machine Learning Database Data Warehouse Hadoop 100

Data Engineering Podcast

JANUARY 13, 2019

How has the market for timeseries databases changed since we last spoke? How has the market for timeseries databases changed since we last spoke? Can you refresh our memory about what TimescaleDB is? What has changed in the focus and features of the TimescaleDB project and company? Toward the end of 2018 you launched the 1.0

Database 100

Database PostgreSQL SQL MongoDB 100

Cloudera

NOVEMBER 10, 2020

Two of the more painful things in your everyday life as an analyst or SQL worker are not getting easy access to data when you need it, or not having easy to use, useful tools available to you that don’t get in your way! This simple statement captures the essence of almost 10 years of SQL development with modern data warehousing.

SQL 112

SQL Unstructured Data Hadoop Data Lake 112

Knowledge Hut

APRIL 25, 2024

If you pursue the MSc big data technologies course, you will be able to specialize in topics such as Big Data Analytics, Business Analytics, Machine Learning, Hadoop and Spark technologies, Cloud Systems etc. There are a variety of big data processing technologies available, including Apache Hadoop, Apache Spark, and MongoDB.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Cloudera

SEPTEMBER 23, 2020

Database object security. Database object-level security is available through the centralized authorization framework of Apache Ranger. . Both fine-grained access control of database objects and access to metadata is provided. Protected database objects include: database, table, column, view and User Defined Functions (UDFs). .

Database 84

Database Data Lake Metadata Java 84

Snowflake

OCTOBER 16, 2024

For organizations who are considering moving from a legacy data warehouse to Snowflake, are looking to learn more about how the AI Data Cloud can support legacy Hadoop use cases, or are struggling with a cloud data warehouse that just isn’t scaling anymore, it often helps to see how others have done it.

Digital Media 81

Digital Media Media Data Lake Data Warehouse 81

U-Next

SEPTEMBER 9, 2022

Introduction . “Hadoop” is an acronym that stands for High Availability Distributed Object Oriented Platform. That is precisely what Hadoop technology provides developers with high availability through the parallel distribution of object-oriented tasks. What is Hadoop in Big Data? . When was Hadoop invented?

Hadoop 40

Hadoop Big Data Management Unstructured Data 40

ProjectPro

MAY 12, 2016

Big Data has found a comfortable home inside the Hadoop ecosystem. Hadoop based data stores have gained wide acceptance around the world by developers, programmers, data scientists, and database experts. They were required to learn a new querying language all over again to effectively utilize the benefits provided by Hadoop.

Hadoop 40

Hadoop SQL Business Intelligence Java 40

Data Engineering Podcast

JANUARY 21, 2024

Summary Databases and analytics architectures have gone through several generational shifts. Powered by Trino, Starburst runs petabyte-scale SQL analytics fast at a fraction of the cost of traditional methods, helping you meet all your data needs ranging from AI/ML workloads to data applications to complete analytics.

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Jesse Anderson

DECEMBER 12, 2022

Doug Cutting took those papers and created Apache Hadoop in 2005. They were the first companies to commercialize open source big data technologies and pushed the marketing and commercialization of Hadoop. Hadoop was hard to program, and Apache Hive came along in 2010 to add SQL. We lacked a scalable pub/sub system.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Christophe Blefari

JANUARY 20, 2024

Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. In order to understand today's data engineering I think that this is important to at least know Hadoop concepts and context and computer science basics.

Data Engineer 130

Data Engineer Data Engineering Engineering Hadoop 130

Data Engineering Podcast

SEPTEMBER 7, 2020

Summary Databases are limited in scope to the information that they directly contain. If you need to work with data in your cloud data lake, your on-premise database, or a collection of flat files, then give this episode a listen and then try out Presto today. This frequently requires cumbersome and time-consuming data integration.

Architecture 100

Architecture Data Architecture SQL Engineering 100

Rockset

MAY 17, 2022

Limitations of NoSQL SQL supports complex queries because it is a very expressive, mature language. Complex SQL queries have long been commonplace in business intelligence (BI). And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. This is intentionally not their forte.

SQL 52

SQL NoSQL Hadoop MongoDB 52

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

FEBRUARY 5, 2023

Look no further than Materialize, the streaming database you already know how to use. Materialize’s PostgreSQL-compatible interface lets users leverage the tools they already use, with unsurpassed simplicity enabled by full ANSI SQL support. Look no further than Materialize, the streaming database you already know how to use.

Data Engineer 147

Data Engineer Data Engineering Engineering PostgreSQL 147

Rockset

JULY 6, 2022

Similarly, databases are only useful for today’s real-time analytics if they can be both strict and flexible. Traditional databases, with their wholly-inflexible structures, are brittle. So are schemaless NoSQL databases, which capably ingest firehoses of data but are poor at extracting complex insights from that data.

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Knowledge Hut

MAY 2, 2024

To store and process even only a fraction of this amount of data, we need Big Data frameworks as traditional Databases would not be able to store so much data nor traditional processing systems would be able to process this data quickly. The Pig has SQL-like syntax and it is easier for SQL developers to get on board easily.

Hadoop 96

Hadoop Scala Datasets Java 96

ProjectPro

SEPTEMBER 16, 2021

NoSQL databases are the new-age solutions to distributed unstructured data storage and processing. The speed, scalability, and fail-over safety offered by NoSQL databases are needed in the current times in the wake of Big Data Analytics and Data Science technologies. The databases are run on a single instance of 2VCPUs and 8GP memory.

NoSQL 52

NoSQL Database Hadoop Big Data 52

Knowledge Hut

DECEMBER 26, 2023

Most Popular Programming Certifications C & C++ Certifications Oracle Certified Associate Java Programmer OCAJP Certified Associate in Python Programming (PCAP) MongoDB Certified Developer Associate Exam R Programming Certification Oracle MySQL Database Administration Training and Certification (CMDBA) CCA Spark and Hadoop Developer 1.

Certification 98

Certification Programming MongoDB R (Programming) 98

Christophe Blefari

MARCH 1, 2023

dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt was born out of the analysis that more and more companies were switching from on-premise Hadoop data infrastructure to cloud data warehouses. tests — a way to define SQL tests either at column-level, either with a query.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Christophe Blefari

JUNE 21, 2024

Good old data warehouses like Oracle were engine + storage, then Hadoop arrived and was almost the same you had an engine (MapReduce, Pig, Hive, Spark) and HDFS, everything in the same cluster, with data co-location. you could write the same pipeline in Java, in Scala, in Python, in SQL, etc.—with 3) Spark 4.0

Metadata 147

Metadata Data Warehouse BI Scala 147

Christophe Blefari

FEBRUARY 23, 2024

Spark future — I'm convinced that Apache Spark will have to transform itself if it is not to disappear (disappear in the sense of Hadoop, still present but niche). JVM vs. SQL data engineer — There's a big discussion in the community about what real data engineering is. Is it DataFrames or SQL?

Data Lake 130

Data Lake PostgreSQL MongoDB Scala 130

ProjectPro

MARCH 1, 2018

News on Hadoop - February 2018 Kyvos Insights to Host Webinar on Accelerating Business Intelligence with Native Hadoop BI Platforms. The leading big data analytics company Kyvo Insights is hosting a webinar titled “Accelerate Business Intelligence with Native Hadoop BI platforms.” PRNewswire.com, February 1, 2018.

Hadoop 52

Hadoop NoSQL Retail BI 52

ProjectPro

DECEMBER 17, 2021

All this data is stored in a database that requires SQL-based queries for retrieval and transformations, making it essential for every data professional to learn SQL for data science and machine learning. Table of Contents Why SQL for Data Science? What is SQL? Why SQL for Data Science?

Data Science 52

Data Science SQL NoSQL Programming Language 52

Knowledge Hut

AUGUST 16, 2024

Data Scientists typically use languages like Python, R, and SQL. SQL SQL is another important prerequisite skill required for Data Science. In comparison to other programming languages, SQL is not very complex but a must-have skill to be proficient in, to become a Data Scientist.

Data Science 52

Data Science Hadoop Unstructured Data Programming Language 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 77

Hadoop SQL Database Kafka 77

ProjectPro

MAY 2, 2017

News on Hadoop-April 2017 AI Will Eclipse Hadoop, Says Forrester, So Cloudera Files For IPO As A Machine Learning Platform. Apache Hadoop was one of the revolutionary technology in the big data space but now it is buried deep by Deep Learning. Hortonworks unveiled this use case of SQL through Apache Hive 2.0

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

ProjectPro

OCTOBER 5, 2018

HaaS will compel organizations to consider Hadoop as a solution to various big data challenges. Source - [link] ) Master Hadoop Skills by working on interesting Hadoop Projects LinkedIn open-sources a tool to run TensorFlow on Hadoop.Infoworld.com, September 13, 2018. from 2014 to 2020.With September 24, 2018. Techcrunch.com.

Hadoop 40

Hadoop BI Big Data MongoDB 40

Knowledge Hut

DECEMBER 22, 2023

Hadoop Gigabytes to petabytes of data may be stored and processed effectively using the open-source framework known as Apache Hadoop. Hadoop enables the clustering of many computers to examine big datasets in parallel more quickly than a single powerful machine for data storage and processing. Packages and Software OpenCV.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

ProjectPro

OCTOBER 3, 2016

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline. Broadwayworld.com, September 13,2016.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

ProjectPro

JANUARY 31, 2023

Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. How is Hadoop related to Big Data? How is Hadoop related to Big Data?

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

APRIL 1, 2016

News on Hadoop- March 2016 Hortonworks makes its core more stable for Hadoop users. PCWorld.com Hortonworks is going a step further in making Hadoop more reliable when it comes to enterprise adoption. Source: [link] ) Syncsort makes Hadoop and Spark available in native Mainframe. March 1, 2016. March 4, 2016.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Cloudera

OCTOBER 5, 2021

This means many manually implemented Ranger HDFS policies, Hadoop ACLs, or POSIX permissions created solely for this purpose can now be removed, if desired. Instead, it generates a mapping that allows the Ranger Plugin in HDFS to make run-time decisions based on the Hadoop SQL grants.

Hadoop 96

Hadoop SQL Database Accessible 96

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

Monte Carlo

MAY 28, 2024

Data Extraction : Begin extraction using methods such as API calls or SQL queries. Batch Processing Tools For batch processing, tools like Apache Hadoop and Spark are widely used. Hadoop handles large-scale data storage and processing, while Spark offers fast in-memory computing capabilities for further processing.

Data Ingestion 52

Data Ingestion Architecture Designing Hadoop 52

ProjectPro

MAY 2, 2016

News on Hadoop-April 2016 Cutting says Hadoop is not at its peak but at its starting stages. Datanami.com At his keynote address in San Jose, Strata+Hadoop World 2016, Doug Cutting said that Hadoop is not at its peak and not going to phase out. Source: [link] ) Dr. Elephant will now solve your Hadoop flow problems.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. A good Data Engineer will also have experience working with NoSQL solutions such as MongoDB or Cassandra, while knowledge of Hadoop or Spark would be beneficial.

Data Engineer 75

Data Engineer Data Engineering Non-relational Database Engineering 75