Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. Continuously Learn and Stay Curious To broaden your knowledge and skills, read books, follow blogs, join online communities, and engage in data engineering initiatives.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

DECEMBER 1, 2017

In May 2018, the General Data Protection Regulation (GDPR) goes into effect for firms doing business in the EU, but many companies aren’t prepared for the strict regulation or fines for noncompliance (up to €20 million or 4% of global annual revenue). Read more. 5:05pm–5:45pm Wednesday, December 6, 2017. Location: Room 323.

Big Data 40

Big Data Cloud Government Data 40

Rockset

JANUARY 23, 2020

Going into the details of LSM trees, and RocksDB’s implementation of the same, is out of the scope of this blog, but suffice it to say that it’s an indexing structure optimized to handle high-volume—sequential or random—write workloads. The migration was completed by 2018 resulting in a 50% storage savings for Facebook.

Database 40

Database MySQL Kafka NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

Most of the Data engineers working in the field enroll themselves in several other training programs to learn an outside skill, such as Hadoop or Big Data querying, alongside their Master's degree and PhDs. Hadoop Platform Hadoop is an open-source software library created by the Apache Software Foundation.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

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. The project became a top-level Apache project in Nov 2018. Snowflake Summit Snowflake took the lead, setting the tone.

Metadata 147

Metadata Data Warehouse BI Scala 147

Cloudera

OCTOBER 3, 2018

First, remember the history of Apache Hadoop. The two of them started the Hadoop project to build an open-source implementation of Google’s system. It staffed up a team to drive Hadoop forward, and hired Doug. Three years later, the core team of developers working inside Yahoo on Hadoop spun out to found Hortonworks.

Hadoop 75

Hadoop Cloud Data Storage Big Data 75

Cloudera

JANUARY 22, 2019

Forrester describes Big Data Fabric as, “A unified, trusted, and comprehensive view of business data produced by orchestrating data sources automatically, intelligently, and securely, then preparing and processing them in big data platforms such as Hadoop and Apache Spark, data lakes, in-memory, and NoSQL.”.

Big Data 46

Big Data NoSQL Hadoop Data Lake 46

ProjectPro

APRIL 15, 2016

Preparing for a Hadoop job interview then this list of most commonly asked Apache Pig Interview questions and answers will help you ace your hadoop job interview in 2018. Research and thorough preparation can increase your probability of making it to the next step in any Hadoop job interview.

Hadoop 40

Hadoop Java Big Data SQL 40

ProjectPro

SEPTEMBER 11, 2021

This blog contains a list of business analyst interview questions and answers. Bureau of Labor Statistics (BLS)*, where business analyst jobs are expected to grow 14% from 2018 to 2028. Data Analytics Projects Ideas for Business Analyst You have gone through some of the top business analyst interview questions in this blog.

Business Analyst 52

Business Analyst Database-centric MySQL SQL 52

Confluent

JULY 1, 2019

The original version of this post was published on Robin Moffatt’s blog. His career has always involved data, from the old worlds of COBOL and DB2, through the worlds of Oracle and Hadoop and into the current world with Kafka. Since ip-172-31-18-160.us-west-2.compute.internal

Kafka 101

Kafka Metadata AWS Bytes 101

Cloudera

DECEMBER 12, 2018

Greg Rahn: Toward the end of that eight-year stint, I saw this thing coming up called Hadoop and an engine called Hive. In the Hadoop world, or the big data world, most of these components are separate and modular, but yet interact together to form a system that behaves very similarly. There’s MongoDB for document stores.

Data Warehouse 42

Data Warehouse Relational Database Hadoop Database 42

Airbnb Tech

MARCH 3, 2020

For example, if your partition key is date, a range could could be (Min: “2018-01-01”, Max: “2019–01–01”). On Spark, Hive, and Small Files: An In-Depth Look at Spark Partitioning Strategies was originally published in The Airbnb Tech Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.

Datasets 52

Datasets Bytes Scala Data Engineering 52

Databand.ai

DECEMBER 20, 2022

He is also an open-source developer at The Apache Software Foundation and the author of Hysterical , a popular blog on tech careers and topics like data, coding, and engineering. Brian shares advice regularly on his Medium blog and GitHub , as well as on LinkedIn, focusing on topics like data science, data engineering, data strategy, and SQL.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

AltexSoft

DECEMBER 15, 2021

Google entered the automated machine learning area in 2018. Source: Google Cloud Blog. All these systems natively support big data technologies ( Hadoop and Spark ) and simplify model deployment — both on-premises or on any cloud, including AWS, Google, or Microsoft Azure. Vertex AI overview.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59