Data Engineering Podcast

MAY 11, 2020

His most recent endeavor at StreamNative is focused on combining the capabilities of Pulsar with the cloud native movement to make it easier to build and scale real time messaging systems with built in event processing capabilities. How have projects such as Kafka and Pulsar impacted the broader software and data landscape?

Cloud 100

Cloud Lambda Architecture Kafka Hadoop 100

Cloudera

JULY 15, 2021

The release of Cloudera Data Platform (CDP) Private Cloud Base edition provides customers with a next generation hybrid cloud architecture. Private Cloud Base Overview. The storage layer for CDP Private Cloud, including object storage. Traditional data clusters for workloads not ready for cloud. Edge or Gateway.

Architecture 102

Architecture Cloud Kafka Hadoop 102

Confluent

OCTOBER 16, 2019

Using this data, Apache Kafka ® and Confluent Platform can provide the foundations for both event-driven applications as well as an analytical platform. With tools like KSQL and Kafka Connect, the concept of streaming ETL is made accessible to a much wider audience of developers and data engineers. Ingesting the data.

Kafka 19

Kafka Building Data Coding 19

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. What is Hadoop? It's important to understand the distributed computing concepts, MapReduce , Hadoop distributions , data locality , HDFS.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Snowflake

SEPTEMBER 14, 2023

The Snowflake Data Cloud gives you the flexibility to build a modern architecture of choice to unlock value from your data. Snowflake was built from the ground up in the cloud. Prior to 2019, Marriott was an early adopter of Netezza and Hadoop, leveraging the IBM BigInsights platform.

Data Architecture 120

Data Architecture Architecture Hadoop Data Warehouse 120

Monte Carlo

OCTOBER 31, 2024

Big Data and Cloud Infrastructure Knowledge Lastly, AI data engineers should be comfortable working with distributed data processing frameworks like Apache Spark and Hadoop, as well as cloud platforms like AWS, Azure, and Google Cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering Unstructured Data 52

Towards Data Science

MARCH 6, 2023

On-premise and cloud working together to deliver a data product Photo by Toro Tseleng on Unsplash Developing a data pipeline is somewhat similar to playing with lego, you mentalize what needs to be achieved (the data requirements), choose the pieces (software, tools, platforms), and fit them together. And this is, by no means, a surprise.

Google Cloud 98

Google Cloud Cloud Storage Data Pipeline Cloud 98

ProjectPro

AUGUST 9, 2016

After taking comprehensive hands-on hadoop training, the placement season is finally upon you. You applied for a Cognizant Hadoop Job interview and fortunately, were shortlisted. It is just the technical hadoop job interview that separates you from your big data career.

Hadoop 52

Hadoop Insurance Cloud Computing Big Data 52

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

FEBRUARY 1, 2017

News on Hadoop-January 2017 Big Data In Gambling: How A 360-Degree View Of Customers Helps Spot Gambling Addiction. The data architecture is based on open source standards Pentaho and is used for managing, preparing and integrating data that runs through their environments including Cloudera Hadoop Distribution , HP Vertica, Flume and Kafka.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

ProjectPro

JANUARY 2, 2018

News on Hadoop - December 2017 Apache Impala gets top-level status as open source Hadoop tool.TechTarget.com, December 1, 2017. Apache Impala puts special emphasis on high concurrency and low latency , features which have been at times eluded from Hadoop-style applications. Source : [link] ) Hadoop 3.0

Hadoop 52

Hadoop Big Data Machine Learning Datasets 52

Data Engineering Podcast

AUGUST 3, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. With Census, just write SQL or plug in your dbt models and start syncing your cloud warehouse to SaaS applications like Salesforce, Marketo, Hubspot, and many more.

Data Lake 130

Data Lake Data Warehouse Hadoop Architecture 130

Cloudera

AUGUST 10, 2021

This article assumes that you have a CDP Private Cloud Base cluster 7.1.5 Using the Hadoop CLI. If you’re bringing your own, it’s as simple as creating the bucket in Ozone using the Hadoop CLI and putting the data you want there: hdfs dfs -mkdir ofs://ozone1/data/tpc/test. Before we begin. hdfs dfs -ls ofs://tpc.data.ozone1/.

Hadoop 105

Hadoop Kafka Datasets Government 105

Cloudera

SEPTEMBER 15, 2020

Cloudera and Microsoft have been working together closely on this integration, which greatly simplifies the security administration of access to ADLS-Gen2 cloud storage. makes all the richness and simplicity of Apache Ranger authorization available for access to ADLS-Gen2 cloud-storage. Cloudera Data Platform 7.2.1

Accessible 79

Accessible Accessibility Cloud Cloud Storage 79

Snowflake

OCTOBER 16, 2024

Many of our customers — from Marriott to AT&T — start their journey with the Snowflake AI Data Cloud by migrating their data warehousing workloads to the platform. The company migrated from its outdated Teradata appliance to the Snowflake AI Data Cloud to resolve performance issues and meet growing data demands.

Digital Media 103

Digital Media Media Data Lake Data Warehouse 103

Data Engineering Podcast

NOVEMBER 18, 2018

How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? How does Flink compare to other streaming engines such as Spark, Kafka, Pulsar, and Storm? Can you start by describing what Flink is and how the project got started? What are some of the primary ways that Flink is used? How is Flink architected?

Process 100

Process Google Cloud Scala Kafka 100

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 7, 2022

We are now well into 2022 and the megatrends that drove the last decade in data — The Apache Software Foundation as a primary innovation vehicle for big data, the arrival of cloud computing, and the debut of cheap distributed storage — have now converged and offer clear patterns for competitive advantage for vendors and value for customers.

Big Data Ecosystem 112

Big Data Ecosystem Hadoop Big Data Architecture 112

Data Engineering Podcast

SEPTEMBER 16, 2018

Skafos maximizes interoperability with your existing tools and platforms, and offers real-time insights and the ability to be up and running with cloud-based production scale infrastructure instantaneously. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Google Cloud 100

Google Cloud Hadoop Consulting Business Intelligence 100

Knowledge Hut

DECEMBER 26, 2023

The top companies that hire data engineers are as follows: Amazon It is the largest e-commerce company in the US founded by Jeff Bezos in 1944 and is hailed as a cloud computing business giant. It is responsible for providing software, hardware, and cloud-based services. Kafka Kafka is an open-source processing software platform.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

ProjectPro

NOVEMBER 14, 2015

Apache Hadoop and Apache Spark fulfill this need as is quite evident from the various projects that these two frameworks are getting better at faster data storage and analysis. These Apache Hadoop projects are mostly into migration, integration, scalability, data analytics, and streaming analysis. Table of Contents Why Apache Hadoop?

Hadoop 52

Hadoop Project Big Data Healthcare 52

Data Engineering Podcast

FEBRUARY 11, 2018

Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? Is timescale compatible with systems such as Amazon RDS or Google Cloud SQL? How is Timescale implemented and how has the internal architecture evolved since you first started working on it? What impact has the 10.0 What impact has the 10.0

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Christophe Blefari

JUNE 21, 2024

Snowflake and Databricks have the same goal, both are selling a cloud on top of classic 1  cloud vendors. Both companies have added Data and AI to their slogan, Snowflake used to be The Data Cloud and now they're The AI Data Cloud. Databricks bought Tabular for $1b. But what is doing Tabular?

Metadata 147

Metadata Data Warehouse BI MySQL 147

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. a deeper cloud vs. on-prem cost/benefit analysis raises more questions about moving these complex systems to the cloud: Is moving this particular operation to the cloud the right option right now ? .

Hadoop 76

Hadoop Big Data Cloud Kafka 76

Cloudera

OCTOBER 22, 2021

With the latest release of Cloudera DataFlow for the Public Cloud (CDF-PC) we added new CLI capabilities that allow you to automate data flow deployments, making it easier than ever before to incorporate Apache NiFi flow deployments into your CI/CD pipelines. Developing data flows with version control.

Cloud 91

Cloud Data Accessible Accessibility 91

Confluent

SEPTEMBER 25, 2019

It’s also a unifying idea behind the larger set of technology trends we see today, such as machine learning, IoT, ubiquitous mobile connectivity, SaaS, and cloud computing. Apache Kafka ® and its uses. Kafka is at the heart of Euronext’s next-generation stock exchange platform , processing billions of trades in the European markets.

Database-centric 56

Database-centric Kafka Pipeline-centric Retail 56

Data Engineering Podcast

MAY 18, 2021

Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. With Molecula, data engineers manage one single feature store that serves the entire organization with millisecond query performance whether in the cloud or at your data center.

Metadata 100

Metadata Kafka Data Warehouse Hadoop 100

Knowledge Hut

JANUARY 16, 2024

The following diagram shows the machine learning skills that are in demand year after year: AI - Artificial Intelligence TensorFlow Apache Kafka Data Science AWS - Amazon Web Services Image Source In the coming sections, we would be discussing each of these skills in detail and how proficient you are expected to be in them.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

ProjectPro

SEPTEMBER 9, 2016

billion USD, 95000 professionals across diverse nationalities in 31 countries- India’s original IT garage startup, HCL, uses a data driven methodology to migrate ETL jobs into corresponding hadoop jobs. HCL has adopted hadoop as a viable alternative to reduce cost and speed up processing. With an annual revenue of $6.5

Hadoop 40

Hadoop Data Lake Big Data Cloud Computing 40

ProjectPro

AUGUST 25, 2016

Considering the Hadoop Job trends in 2010 about Hadoop development, there were none as organizations were not aware of what Hadoop is all about. What’s important to land a top gig as a Hadoop Developer is Hadoop interview preparation.

Hadoop 40

Hadoop Big Data Data Lake Programming Language 40

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 78

Hadoop SQL Database Kafka 78

ProjectPro

AUGUST 22, 2016

Hadoop has superlatively provided organizations with the ability to handle an exponentially growing amount of data and Capgemini is no different when it comes to using Hadoop for storing and processing big data. Know how to implement the functionalities of each component in the Hadoop ecosystem into your big data solution.

Hadoop 40

Hadoop Big Data Cloud Computing Consulting 40

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. Over the years, big data has been defined in various ways and there is lots of confusion surrounding the terms big data and hadoop. Big Deal Companies are striking with Big Data Analytics What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Data Analytics 52

Confluent

MAY 21, 2019

The profile service will publish the changes in profiles, including address changes to an Apache Kafka ® topic, and the quote service will subscribe to the updates from the profile changes topic, calculate a new quote if needed and publish the new quota to a Kafka topic so other services can subscribe to the updated quote event.

Kafka 110

Kafka Insurance Architecture Database 110

ProjectPro

AUGUST 30, 2016

Bank of America has tapped into Hadoop technology to manage and analyse the large amounts of customer and transaction data that it generates. Big Data analytics and Hadoop are the heart of ‘BankAmeriDeals’ program, that provides cashback offers to bank’s credit and debit card holders. signing bonus, $68.9K

Banking 40

Banking Hadoop MySQL Big Data 40

ProjectPro

AUGUST 1, 2016

News on Hadoop-July 2016 Driven 2.2 allows enterprises to monitor large scale Hadoop and Spark applications. Driven Cloud is a component of Driven 2.2 Driven Cloud is a component of Driven 2.2 ZDNet.com Hortonworks has come a long way in its 5-year journey as a Hadoop vendor. July 4, 2016. July 12, 2016.

Hadoop 40

Hadoop Consulting Big Data Unstructured Data 40

Cloudera

MAY 15, 2019

The Enterprise Data Cloud – A Healthcare Perspective. Join Charles Boicey, @ClearsenseLLC , as he tells the story of how Clearsense is applying Data Cloud technologies to healthcare. Walgreens will be sharing about its cloud automation journey. The company currently has Hadoop clusters deployed in both on-prem and cloud.

Cloud 50

Cloud Hadoop Healthcare Big Data Ecosystem 50