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

U-Next

MARCH 1, 2023

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. MongoDB, Apache HBase, Redis, Apache Cassandra, and Couchbase What are slowly changing dimensions? Describe Hadoop streaming. What is AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Data Engineering Podcast

JULY 10, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Data teams are increasingly under pressure to deliver. In fact, while only 3.5% That’s where our friends at Ascend.io

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Data Engineering Podcast

DECEMBER 11, 2022

With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. That way data engineers and data users can process to their heart’s content without worrying about their cloud bill.

Database 100

Database MySQL Data Lake MongoDB 100

Data Engineering Podcast

OCTOBER 9, 2022

In this episode Purvi Shah, the VP of Enterprise Big Data Platforms at American Express, explains how they have invested in the cloud to power this visibility and the complex suite of integrations they have built and maintained across legacy and modern systems to make it possible. Data teams are increasingly under pressure to deliver.

Food 100

Food MongoDB MySQL Scala 100

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

ProjectPro

MAY 13, 2015

MongoDB is one of the hottest IT tech skills in demand with big data and cloud proliferating the market. MongoDB certification is one of the hottest IT certifications poised for the biggest growth and utmost financial gains in 2015. How to prepare for MongoDB Certification?

NoSQL 40

NoSQL MongoDB Certification Database 40

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 Big Data MongoDB 40

ProjectPro

MAY 19, 2015

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

Knowledge Hut

JANUARY 9, 2024

Given the high demand for cloud professionals, an increasing number of candidates are choosing cloud computing as their preferred career path. Understanding the core topics and competencies covered in these courses is essential for aspiring cloud experts to chart a successful career path in this dynamic and in-demand field.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Cloud Storage 52

Rockset

OCTOBER 30, 2018

All the software we wrote was deployed in Facebook's private data centers, so it was not till I started building on the public cloud that I fully appreciated its true potential. The public cloud, in contrast, provides hardware through the simplicity of API-based provisioning.

Cloud 40

Cloud IT MongoDB Hadoop 40

AltexSoft

MAY 14, 2021

Based on the complexity of data, it can be moved to the storages such as cloud data warehouses or data lakes from where business intelligence tools can access it when needed. There are quite a few modern cloud-based solutions that typically include storage, compute, and client infrastructure components. Apache Hadoop.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

APRIL 8, 2015

With the demand for big data technologies expanding rapidly, Apache Hadoop is at the heart of the big data revolution. Here are top 6 big data analytics vendors that are serving Hadoop needs of various big data companies by providing commercial support. The Global Hadoop Market is anticipated to reach $8.74 billion by 2020.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

AltexSoft

OCTOBER 21, 2022

A single cluster can span across multiple data centers and cloud facilities. cloud data warehouses — for example, Snowflake , Google BigQuery, and Amazon Redshift. The hybrid data platform supports numerous Big Data frameworks including Hadoop and Spark , Flink, Flume, Kafka, and many others. Kafka vs Hadoop.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Knowledge Hut

DECEMBER 21, 2023

For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka. Familiarity with database technologies such as MySQL, Oracle, and MongoDB. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

ProjectPro

JUNE 17, 2015

3 out of 5 highest paid jobs require big data and cloud computing skills. Here is the list of top 15 big data and cloud computing skills professionals need to master to cash in rewarding big data and cloud computing jobs. ”-said Mr Shravan Goli, President of Dice.

Cloud Computing 40

Cloud Computing Big Data Big Data Skills R (Programming) 40

Cloud Academy

JANUARY 27, 2022

Microsoft SQL Server Document-oriented database: MongoDB (classified as NoSQL) The Basics of Data Management, Data Manipulation and Data Modeling This learning path focuses on common data formats and interfaces. MongoDB Configuration and Setup Watch an example of deploying MongoDB to understand its benefits as a database system.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 17, 2016

You will need a complete 100% LinkedIn profile overhaul to land a top gig as a Hadoop Developer , Hadoop Administrator, Data Scientist or any other big data job role. Location and industry – Locations and industry helps recruiters sift through your LinkedIn profile on the available Hadoop or data science jobs in that locations.

Hadoop 40

Hadoop Recruitment Big Data NoSQL 40

Knowledge Hut

MARCH 7, 2024

APACHE Hadoop - Apache Hadoop is an open-source software framework for storing and processing big data. It is a cloud-based platform that makes it easy to store, query, and analyze data. It is built on top of the Hadoop platform and can run on any Hadoop cluster. Integrate.io - Integrate.io

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Knowledge Hut

FEBRUARY 2, 2024

Skills Required HTML, CSS, JavaScript or Python for Backend programming, Databases such as SQL, MongoDB, Git version control, JavaScript frameworks, etc. Skills Required Network Security Operation Systems and Virtual Machines Hacking Cloud security Risk management Controls and frameworks Scripting.

Programming Language 98

Programming Language Amazon Web Services Cloud Computing Java 98

Knowledge Hut

APRIL 25, 2023

These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. Data processing: Data engineers should know data processing frameworks like Apache Spark, Hadoop, or Kafka, which help process and analyze data at scale. What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

AltexSoft

MAY 12, 2023

File systems, data lakes, and Big Data processing frameworks like Hadoop and Spark are often utilized for managing and analyzing unstructured data. Semi-structured data is typically stored in NoSQL databases, such as MongoDB, Cassandra, and Couchbase, following hierarchical or graph data models. Hadoop, Apache Spark).

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Knowledge Hut

SEPTEMBER 6, 2023

Some of the most popular database management tools in the industry are NoSql, MongoDB and oracle. It will cover topics like Data Warehousing,Linux, Python, SQL, Hadoop, MongoDB, Big Data Processing, Big Data Security,AWS and more. You will become accustomed to challenges that you will face in the industry.

Data Science 97

Data Science Certification Machine Learning Business Analyst 97

Knowledge Hut

MAY 23, 2024

Cloud-based tools 2. BigML: BigML is an online, cloud-based, event-driven tool that helps in data science and machine learning operations. It is much faster than other analytic workload tools like Hadoop. MongoDB caches data in the JSON-like format as documents and delivers high-level data replications capabilities.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

MARCH 19, 2015

As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT Become a Hadoop Developer By Working On Industry Oriented Hadoop Projects 3. HBase is used by the discovery engine Stumble upon for data analytics and storage.

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Rockset

OCTOBER 19, 2018

In the age of public cloud, there is no longer a reason to build or use open source for data infrastructure, and a new category of software I'm labeling open services will render open-source data tools irrelevant. Many will point to Hadoop, open sourced in 2006, as the technology that made Big Data a thing. Enter the public cloud.

MongoDB 40

MongoDB Hadoop Kafka Data Warehouse 40

Knowledge Hut

MARCH 27, 2024

Some open-source technology for big data analytics are : Hadoop. APACHE Hadoop Big data is being processed and stored using this Java-based open-source platform, and data can be processed efficiently and in parallel thanks to the cluster system. The Hadoop Distributed File System (HDFS) provides quick access. Apache Spark.

Big Data 52

Big Data Data Analytics MongoDB Big Data Tools 52

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. Often stored in computer databases or the cloud and is analyzed using software specifically designed to handle large, complex data sets. What is Big Data?

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JULY 30, 2021

Why Learn Cloud Computing Skills? The job market in cloud computing is growing every day at a rapid pace. A quick search on Linkedin shows there are over 30000 freshers jobs in Cloud Computing and over 60000 senior-level cloud computing job roles. What is Cloud Computing? Thus came in the picture, Cloud Computing.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. Apache Hadoop-based analytics to compute distributed processing and storage against datasets.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

AltexSoft

MARCH 14, 2023

In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support. This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. Cloud-first. Designed to be modular.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Rockset

MAY 17, 2022

And when systems such as Hadoop and Hive arrived, it married complex queries with big data for the first time. Hive implemented an SQL layer on Hadoop’s native MapReduce programming paradigm. Earlier at Yahoo, he was one of the founding engineers of the Hadoop Distributed File System. This is intentionally not their forte.

SQL 52

SQL NoSQL Hadoop MongoDB 52

U-Next

SEPTEMBER 7, 2022

Cloud storage provided by Google . Atlas Data Lake powered by MongoDB. . In a Data Lake architecture , Apache Hadoop is an example of a data infrastructure that is capable of storing and processing large amounts of structured and unstructured data. . Databases and data warehouses may be located on-premises or in the cloud.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Rockset

MAY 12, 2022

Hadoop was initially used but has since been replaced by Snowflake, Redshift and other databases. The serving layer — often MongoDB , Elasticsearch or Cassandra — then delivers those results to both dashboards and users’ ad hoc queries. Rockset provides a real-time analytics database in the cloud built around the ALT architecture.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Database 52

AltexSoft

OCTOBER 8, 2021

Usually, data integration software is divided into on-premise, cloud-based, and open-source types. Commonly deployed in the local network or private cloud, they contain specifically configured connectors to load data from multiple local sources as a batch operation. Cloud-based data integration tools. Pre-built connectors.

Data Integration 52

Data Integration Hadoop Data Warehouse Data Lake 52

ProjectPro

JANUARY 19, 2022

Leverage various big data engineering tools and cloud service providing platforms to create data extractions and storage pipelines. Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52