AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. What are its limitations and how do the Hadoop ecosystem address them? What is Hadoop.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Data Engineering Podcast

MARCH 24, 2024

In this episode Pete Hunt, CEO of Dagster labs, outlines these new capabilities, how they reduce the burden on data teams, and the increased collaboration that they enable across teams and business units. Data lakes are notoriously complex. Go to dataengineeringpodcast.com/dagster today to get started. Your first 30 days are free!

Data Lake 162

Data Lake High Quality Data Hadoop Data Pipeline 162

Data Engineering Podcast

JANUARY 21, 2024

In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

AltexSoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Data Engineering Podcast

JULY 10, 2022

Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

SEPTEMBER 7, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it?

Architecture 100

Architecture Data Architecture SQL Engineering 100

Data Engineering Weekly

MAY 26, 2024

[link] Tweeq: Tweeq Data Platform: Journey and Lessons Learned: Clickhouse, dbt, Dagster, and Superset Tweeq writes about its journey of building a data platform with cloud-agnostic open-source solutions and some integration challenges. It is refreshing to see an open stack after the Hadoop era.

Data Engineering 78

Data Engineering Data Engineer Engineering Google Cloud 78

Data Engineering Weekly

DECEMBER 15, 2024

[link] Dani: Apache Iceberg: The Hadoop of the Modern Data Stack? The comment on Iceber, a Hadoop of the modern data stack, surprises me. Iceberg has not reduced the complexity of the data stack, and all the legacy Hadoop complexity still exists on top of Apache Iceberg.

Data Engineering 59

Data Engineering Data Engineer Engineering Hadoop 59

Data Engineering Podcast

JANUARY 30, 2022

Summary The Data Engineering Podcast has been going for five years now and has included conversations and interviews with a huge number of guests, covering a broad range of topics. In this episode he shares some reflections on producing the podcast, compiling the book, and relevant trends in the ecosystem of data engineering.

Data Engineering 100

Data Engineering Data Engineer Engineering Data Pipeline 100

U-Next

MARCH 1, 2023

Introduction Data Engineer is responsible for managing the flow of data to be used to make better business decisions. A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. The actual data is not kept in this case.

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Christophe Blefari

SEPTEMBER 28, 2023

The era of Big Data was characterised by Hadoop, HDFS, distributed computing (Spark), above the JVM. We jumped from HDFS to Cloud Storage (S3, GCS) for storage and from Hadoop, Spark to Cloud warehouses (Redshift, BigQuery, Snowflake) for processing. I often say that data engineering is boring, insanely boring.

Big Data 147

Big Data Cloud Storage Hadoop SQL 147

Netflix Tech

JULY 15, 2021

Data Engineers of Netflix?—?Interview Interview with Kevin Wylie This post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Kevin, what drew you to data engineering?

Data Engineering 80

Data Engineering Data Engineer Engineering Entertainment 80

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.

Data Lake 130

Data Lake PostgreSQL MongoDB MySQL 130

Data Engineering Podcast

JANUARY 13, 2019

release, how the use cases for timeseries data have proliferated, and how they are continuing to simplify the task of processing your time oriented events. 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

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. Explore SQL Database Projects to Add them to Your Data Engineer Resume.

Hadoop 40

Hadoop SQL Business Intelligence Java 40

AltexSoft

JULY 29, 2022

Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. The Hadoop toy. So the first secret to Hadoop’s success seems clear — it’s cute. What is Hadoop?

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

Christophe Blefari

JUNE 21, 2024

Below a diagram describing what I think schematises data platforms: Data storage — you need to store data in an efficient manner, interoperable, from the fresh to the old one, with the metadata. 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 MySQL 147

Data Engineering Podcast

JANUARY 6, 2019

Summary The Hadoop platform is purpose built for processing large, slow moving data in long-running batch jobs. As the ecosystem around it has grown, so has the need for fast data analytics on fast moving data. For a perfect pairing, they made it easy to connect to the Impala SQL engine.

Data Analytics 100

Data Analytics Hadoop Kafka Media 100

The Pragmatic Engineer

JUNE 13, 2023

Although the company employs about 4-500 people in its data organization, there’s been no single dedicated “data team” for around 2 years. Agoda moved away from this model and its data engineers are embedded into each team. The company runs 4 data centers: in the US and Europe, with two in Asia.

Cloud 201

Cloud Database Utilities BI 201

Data Engineering Podcast

MAY 20, 2018

Summary Most businesses end up with data in a myriad of places with varying levels of structure. 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. What are some cases in which Presto is not the right solution?

PostgreSQL 100

PostgreSQL Hadoop SQL Kafka 100

Data Engineering Weekly

DECEMBER 24, 2023

Sanjeev Mohan: Unveiling the Crystal Ball: 2024 Data and AI Trends Sanjeev & Rajesh, as usual, share their excellent observations about data & AI industry trends. I love the rising, stable, and declining format for categorizing data engineering trends. We barely starting to scratch the surface of its possibility.

Data Engineering 64

Data Engineering Data Engineer Engineering Deep Learning 64

Data Engineering Weekly

JUNE 29, 2023

But hey, I met my friends after a long time and got my copy of “ Fundamentals of Data Engineering ” signed by Joe Reis & Matt Housely. If you’re starting data engineering, I highly recommend reading it. Snowflake is a DataLake Platform Snowflake is moving beyond a SQL data warehouse.

Data Engineering 78

Data Engineering Data Engineer Google Cloud Engineering 78

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.”

Hadoop 52

Hadoop NoSQL Retail BI 52

Data Engineering Podcast

AUGUST 3, 2021

In this episode Vinoth shares the history of the project, how its architecture allows for building more frequently updated analytical queries, and the work being done to add a more polished experience to the data lake paradigm. Go to dataengineeringpodcast.com/97things today to get your copy! Write some Python scripts to automate it?

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 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. Actually what I cared was physical storage, data formats, logical partitioning or indexing. Data modeling should not be a required data engineer skill.

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. Actually what I cared was physical storage, data formats, logical partitioning or indexing. Data modeling should not be a required data engineer skill.

Pipeline-centric 130

Pipeline-centric Database-centric Algorithm Data 130

Ripple Engineering

JULY 9, 2024

We recently embarked on a significant data platform migration, transitioning from Hadoop to Databricks, a move motivated by our relentless pursuit of excellence and our contributions to the XRP Ledger's (XRPL) data analytics.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 96

U-Next

AUGUST 17, 2022

Introduction to 2022 Data Engineer Roles and Responsibilities. Companies and enterprises, large and small, are built on data. Data Engineer roles and responsibilities include aiding in the collection of issues and the delivery of remedies addressing customer demand and product accessibility.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. Contents: What is the role of an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

APRIL 25, 2024

Check out the Big Data courses online to develop a strong skill set while working with the most powerful Big Data tools and technologies. Look for a suitable big data technologies company online to launch your career in the field. What Are Big Data T echnologies? Let's check the big data technologies list.

Big Data 98

Big Data Technology Hadoop NoSQL 98

Data Engineering Podcast

FEBRUARY 11, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data infrastructure When you’re ready to launch your next project you’ll need somewhere to deploy it. Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? What impact has the 10.0 What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Data Engineering Weekly

FEBRUARY 12, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The Dropbox data team highlights the same problem. ”, Wait, what?

Data Engineering 52

Data Engineering Data Engineer Engineering Hadoop 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

AUGUST 19, 2019

Summary Managing big data projects at scale is a perennial problem, with a wide variety of solutions that have evolved over the past 20 years. One of the early entrants that predates Hadoop and has since been open sourced is the HPCC (High Performance Computing Cluster) system.

Big Data 100

Big Data Hadoop Data Lake Media 100

Knowledge Hut

MAY 3, 2024

Spark offers over 80 high-level operators that make it easy to build parallel apps and one can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. Basic knowledge of SQL. Yarn etc) Or, 2.

Hadoop 98

Hadoop Scala Healthcare Big Data 98

Data Engineering Podcast

NOVEMBER 22, 2017

They also discuss the role of Arrow as a mechanism for in-memory data sharing and how hardware evolution will influence the state of the art for data formats. You’ve each developed a new on-disk data format, Avro and Parquet respectively. You’ve each developed a new on-disk data format, Avro and Parquet respectively.

Hadoop 100

Hadoop Data Storage Data Pipeline Data Engineering 100

Data Engineering Podcast

NOVEMBER 4, 2018

Preamble Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline you’ll need somewhere to deploy it, so check out Linode. Given that you are connecting to the customer’s data store, how do you ensure sufficient security?

Business Intelligence 100

Business Intelligence Hadoop BI Data Warehouse 100