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

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 Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

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 107

SQL Unstructured Data Data Lake Hadoop 107

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 81

Database Data Lake Metadata Java 81

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 Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

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

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

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

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

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

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

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

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

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

Knowledge Hut

APRIL 26, 2024

Now that the issue of storage of big data has been solved successfully by Hadoop and various other frameworks, the concern has shifted to processing these data. Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

MAY 9, 2024

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. They deploy and maintain database architectures, research new data acquisition opportunities, and maintain development standards. 49% of the job ads on LinkedIn are in the Tech and IT industry.

Data Science 52

Data Science Data Mining Data Architect Programming Language 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 MongoDB Big Data 40

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 Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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

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

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

Uber Engineering

JANUARY 15, 2020

As Uber’s operations became more complex and we offered additional features and … The post Engineering SQL Support on Apache Pinot at Uber appeared first on Uber Engineering Blog.

SQL 115

SQL Engineering Aggregated Data Data 115

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

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. Coding helps you link your database and work with all programming languages.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

MARCH 13, 2024

Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights. To ensure the datasets are correctly handled, the Big Data Engineer should be thorough with various ETL tools, SQL tools, frameworks like Hadoop and Apache Spark, and programming languages like Python or Java.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

MARCH 13, 2024

Develop the algorithms: Once the database is ready, the next thing is to analyze the data to obtain valuable insights. To ensure the datasets are correctly handled, the Big Data Engineer should be thorough with various ETL tools, SQL tools, frameworks like Hadoop and Apache Spark, and programming languages like Python or Java.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

DECEMBER 2, 2015

News on Hadoop – November 2015 2nd Generation Hadoop has become the most critical cloud applications platform, Nov 2, 2015, TechRepublic.com Hadoop version of 1.0 Hadoop second generation is designed to support real time applications where Hadoop is used not just as a storage system but as an application platform.

Hadoop 52

Hadoop Cloud Computing Big Data Manufacturing 52

Christophe Blefari

APRIL 8, 2023

I was in the Hadoop world and all I was doing was denormalisation. The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. Under the hood it uses sqlglot the SQL parser that has been developper by the same developper. Denormalisation everywhere. YAML configured. Roboto AI raises $4.8m

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Christophe Blefari

APRIL 8, 2023

I was in the Hadoop world and all I was doing was denormalisation. The only normalisation I did was back at the engineering school while learning SQL with Normal Forms. Under the hood it uses sqlglot the SQL parser that has been developper by the same developper. Denormalisation everywhere. YAML configured. Roboto AI raises $4.8m

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Knowledge Hut

APRIL 23, 2024

Data warehouses are typically built using traditional relational database systems, employing techniques like Extract, Transform, Load (ETL) to integrate and organize data. It employs technologies such as Apache Hadoop, Apache Spark, and NoSQL databases to handle the immense scale and complexity of big data.

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

ProjectPro

NOVEMBER 1, 2016

News on Hadoop-October 2016 Microsoft upgrades Azure HDInsight, its Hadoop Big Data offering.SiliconAngle.com,October 2, 2016. product Azure HDInsight is a managed Hadoop service that gives users access to deploy and manage hadoop clusters on the Azure Cloud. Microsoft and Hortonworks Inc.

Hadoop 40

Hadoop NoSQL Big Data SQL 40

Knowledge Hut

NOVEMBER 28, 2023

Cloud Data engineering is all about designing, programming, and testing software, which is required for modern database solutions. SQL Today, more and more cloud-based systems add SQL-like interfaces that allow you to use SQL. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

APRIL 25, 2023

Data engineering is a field that requires a range of technical skills, including database management, data modeling, and programming. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 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. Education & Skills Required Using technologies such as Hadoop, Kafka, and Spark.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MARCH 20, 2024

Handling databases, both SQL and NoSQL. Databases and tools: AI engineers must be adept at working with different forms of data and know how to handle SQL and NoSQL databases. Knowledge of data tools and platforms like Apache Spark, AWS S3, and Hadoop is also essential.

Engineering 52

Engineering NoSQL Programming Language Deep Learning 52