Cloudera

OCTOBER 4, 2023

We can get to faster root-cause analysis and become proactive instead of reactive to changes in markets, business operations, and customer behavior. We can get the jump on competition, reduce surprises that cause disruption, have better organizational operational health, and reduce unnecessary waste and cost everywhere.

Telecommunication 84

Telecommunication Data Warehouse Java Manufacturing 84

Cloudera

OCTOBER 16, 2023

Cloudera recently released a fully featured Open Data Lakehouse , powered by Apache Iceberg in the private cloud, in addition to what’s already been available for the Open Data Lakehouse in the public cloud since last year. to stream ingest data sets to Iceberg. to stream ingest data sets to Iceberg.

Cloud 76

Cloud Kafka SQL Data 76

Data Engineering Weekly

NOVEMBER 26, 2023

It's like piecing together a puzzle from history to get a clearer picture of the future. LLM is indeed starting to make an impact on the way we work. We’ve seen a fleet of tools like TextToSQL ; Slack bots to ask questions to your data warehouse , Chat interface for spreadsheets , and even the English SDK for Spark !

Data Engineering 70

Data Engineering Data Engineer Engineering Kafka 70

ProjectPro

FEBRUARY 21, 2023

With around 35k stars and over 26k forks on Github, Apache Spark is one of the most popular big data frameworks used by 22,760 companies worldwide. Apache Spark is the most efficient, scalable, and widely used in-memory data computation tool capable of performing batch-mode, real-time, and analytics operations.

Scala 52

Scala Programming Language Java Hadoop 52

ProjectPro

FEBRUARY 16, 2023

Apache Spark is an open-source, distributed computing system for big data processing and analytics. Today, the Apache Spark project has over 1,000 contributors from over 250 companies worldwide. Thus, there is a tremendous demand for spark professionals in the coming years. But where do you start?

Big Data 52

Big Data Scala Machine Learning Hadoop 52

Data Engineering Podcast

DECEMBER 9, 2018

Summary Apache Spark is a popular and widely used tool for a variety of data oriented projects. With the large array of capabilities, and the complexity of the underlying system, it can be difficult to understand how to get started using it. Can you start by explaining what Spark is? Who uses Spark?

Scala 100

Scala MySQL Kafka Hadoop 100

Cloudera

AUGUST 26, 2021

Apache Ozone is a scalable distributed object store that can efficiently manage billions of small and large files. In addition to big data workloads, Ozone is also fully integrated with authorization and data governance providers namely Apache Ranger & Apache Atlas in the CDP stack. create_bucket(Bucket='spark-bucket').

Data Science 109

Data Science Cloud Hadoop Metadata 109

Data Engineering Podcast

AUGUST 3, 2021

With more real-time requirements and the increasing use of streaming data there has been a struggle to merge fast, incremental updates with large, historical analysis. Go to dataengineeringpodcast.com/97things today to get your copy! Go to dataengineeringpodcast.com/census today to get a free 14-day trial. Then what do you do?

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

Data Engineering Weekly

AUGUST 6, 2023

So, let's not wait for that and get you registered right away! I noticed an article from dbt labs that was " Seemingly easy, but in reality hard, " highlighting the roadmap of the orchestration engine, yet I still need to get will it supports workloads other than dbt. We've overcome some unexpected hiccups, and guess what?

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Knowledge Hut

JUNE 26, 2023

Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article. From exploratory data analysis (EDA) and data cleansing to data modeling and visualization, the greatest data engineering projects demonstrate the whole data process from start to finish.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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. I personally feel such certifications have the potential to change your life. Why Should You Take Big Data Certification? It prepares you to solve real world problems.

Big Data 52

Big Data Certification Hadoop Scala 52

Rockset

NOVEMBER 4, 2021

Apache Spark is an open-source project that was started at UC Berkeley AMPLab. Even though Spark is written in Scala, you can interact with Spark with multiple languages like Spark, Python, and Java. Rockset actually complements Apache Spark for real-time analytics.

Scala 52

Scala Java AWS Hadoop 52

Knowledge Hut

JANUARY 9, 2024

Starting from applications, programming, and administration, it ranges to large-scale distribution systems, which comprise the cloud computing infrastructure. Benefits of Cloud Computing Certification Here are some of the benefits you can get by opting for cloud computing certification: 1. lakh per annum.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Towards Data Science

JANUARY 17, 2024

The tutorial starts with setting up the environment for these file formats. So let’s get started! Here’s how we’ll set things up: Setting up Docker Desktop Configuring MinIO Getting started with JupyterLab I’m not diving deep into every step here since there’s already a great tutorial for that. enableHiveSupport().getOrCreate()

Big Data 73

Big Data Data Data Storage SQL 73

Knowledge Hut

JUNE 30, 2023

Whether you're an aspiring data engineer trying to start a lucrative career or a seasoned expert looking to improve your skills, Azure data engineer books can be beneficial. Books on data engineering serve as essential resources to guide you through the vast terrain of data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Data Engineering Podcast

NOVEMBER 18, 2018

Apache Flink is a true stream processing engine with an impressive set of capabilities for stateful computation at scale. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. Can you start by describing what Flink is and how the project got started?

Process 100

Process Scala Google Cloud Kafka 100

Cloudera

NOVEMBER 30, 2022

For more information and to get started with COD, refer to Getting Started with Cloudera Data Platform Operational Database (COD). You can use COD transactions in streaming applications or OLTP ( Online Transaction Processing ) applications as well as batch-oriented Spark applications. Background.

Database 79

Database Datasets NoSQL Big Data 79

Data Engineering Podcast

OCTOBER 28, 2021

Summary Streaming data systems have been growing more capable and flexible over the past few years. Despite this, it is still challenging to build reliable pipelines for stream processing. Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. Stale dashboards?

Data Pipeline 100

Data Pipeline SQL Data Warehouse Data Lake 100

Data Engineering Podcast

NOVEMBER 4, 2019

Sean Knapp founded Ascend to address the operational challenges of running a production grade and scalable Spark infrastructure, allowing data engineers to focus on the problems that power their business. This is a great conversation to get an understanding of all of the incidental engineering that is necessary to make your data reliable.

Programming Language 100

Programming Language Kafka Media Data Engineering 100

Towards Data Science

APRIL 3, 2023

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! How you transition from a batch mindset to a streaming mindset although can also be tricky, so let’s start small and build. You be the judge of what future you’d rather embrace.

Process 87

Process Data Lake Systems Bytes 87

Cloudera

SEPTEMBER 28, 2020

Modernize their architecture to ingest data in real-time using the new streaming features available in CDP Private Cloud Base in order to make the data available to their users quickly. Support Kafka connectivity to HDFS, AWS S3 and Kafka Streams. New Features CDH to CDP. Identifying areas of interest for Customer A. Ranger 2.0.

Cloud 131

Cloud Kafka Professional Services Metadata 131

Data Engineering Podcast

APRIL 6, 2020

Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management.

Building 100

Building Big Data Machine Learning Python 100

Data Engineering Podcast

SEPTEMBER 14, 2020

On top of this foundation, the Hazelcast team has also built a streaming platform for reliable high throughput data transmission. Go to dataengineeringpodcast.com/linode today and get a $60 credit to try out a Kubernetes cluster of your own. If you hand a book to a new data engineer, what wisdom would you add to it?

Process 100

Process Unstructured Data Metadata Data Engineering 100

Cloudera

OCTOBER 13, 2020

Data Hub – has expanded to support all stages of the data lifecycle: Collect – Flow Management (Apache NiFi), Streams Management (Apache Kafka) and Streaming Analytics (Apache Flink). Enrich – Data Engineering (Apache Spark and Apache Hive). That Was Then. This is Now.

Cloud 92

Cloud Data Warehouse AWS Machine Learning 92

Data Engineering Podcast

JULY 6, 2020

Once you have a streaming platform up and running you need a way to keep an eye on it, including observability, discovery, and governance of your data. Go to dataengineeringpodcast.com/linode today and get a $60 credit to try out a Kubernetes cluster of your own. That’s what the Lenses.io DataOps platform is built for.

Systems 100

Systems Kafka SQL Government 100

Data Engineering Podcast

MAY 1, 2022

Go to dataengineeringpodcast.com/linode today and get a $100 credit to try out a Kubernetes cluster of your own. Their SDKs make event streaming from any app or website easy, and their state-of-the-art reverse ETL pipelines enable you to send enriched data to any cloud tool.

Data Warehouse 100

Data Warehouse Data Lake Architecture Data 100

Christophe Blefari

DECEMBER 9, 2022

Paris Airflow Meetup 🧑‍🔧 On Tuesday I organised the 4th Paris Apache Airflow Meetup. After an small introduction the evening started with a presentation by Clément and Steff from leboncoin data engineering team. The goal now is to do a meetup per month in 2023.

SQL 130

SQL Data Data Science Metadata 130

Knowledge Hut

APRIL 25, 2023

If you want to learn more about data engineering tools, get guidance from Data Engineer courses online. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Data Engineering Podcast

JUNE 15, 2020

He describes the architecture of the system, the benefits of streaming data for machine learning, and how a feature store provides a useful interface between data engineers and machine learning engineers to reduce communication overhead. What is StreamSQL and what motivated you to start the business?

Machine Learning 100

Machine Learning Google Cloud Kafka Data Engineering 100

U-Next

FEBRUARY 26, 2023

Data Science companies started to emerge due to this need for new people who can help businesses solve problems through data analytics. Many types of Data Scientists with different specialties can help your business get the necessary solutions. Average Salary per annum: INR 27 lakhs Number of Employees: 14.68

Data Science 98

Data Science Machine Learning Consulting Food 98

ProjectPro

JANUARY 24, 2023

If you are preparing for your ETL developer or data engineer interview , you must possess a solid fundamental knowledge of AWS Glue, as you’re likely to get asked questions that test your ability to handle complex big data ETL tasks. The Schema Registry supports Java client apps and the Apache Avro and JSON Schema data formats.

AWS 52

AWS Data Lake Scala ETL Tools 52

Data Engineering Podcast

OCTOBER 14, 2019

In this episode CTO and co-founder of Dataform Lewis Hemens joins the show to explain his motivation for creating the platform and company, how it works under the covers, and how you can start using it today to get your data warehouse under control. He started Datacoral with the goal to make SQL the universal data programming language.

Data Warehouse 100

Data Warehouse PostgreSQL AWS Programming Language 100

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays! Use case recap.

Process 86

Process Kafka Scala SQL 86

Big Data Tools

JUNE 8, 2022

It’s the start of June. That means it’s time to start taking summer vacations and enjoying some fresh juice alongside your fresh news! I’ve had some experience with Apache Atlas, and even with the help of my colleagues, I wasn’t able to make it do what I wanted it to. There are several solutions. I am an old-school guy.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

It’s the start of June. That means it’s time to start taking summer vacations and enjoying some fresh juice alongside your fresh news! I’ve had some experience with Apache Atlas, and even with the help of my colleagues, I wasn’t able to make it do what I wanted it to. There are several solutions. I am an old-school guy.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Data Engineering Podcast

DECEMBER 30, 2019

Getting an inside look at the companies behind the services we use is always useful, and this conversation was no exception. Go to dataengineeringpodcast.com/linode today to get a $20 credit and launch a new server in under a minute. And for your machine learning workloads, they just announced dedicated CPU instances.

Process 100

Process Building Hadoop Java 100

Big Data Tools

AUGUST 3, 2021

August is a good time to start new things – some people are on vacation and have more spare time to read than usual, while others are back and looking for a quick refresher on what’s new in data engineering. Without further ado, let’s get started with this inaugural issue of Data Engineering Annotated!

Data Engineering 52

Data Engineering Data Engineer Engineering Big Data Tools 52