ProjectPro

MAY 13, 2015

Table of Contents MongoDB NoSQL Database Certification- Hottest IT Certifications of 2015 MongoDB-NoSQL Database of the Developers and for the Developers MongoDB Certification Roles and Levels Why MongoDB Certification? The three next most common NoSQL variants are Couchbase, CouchDB and Redis.

NoSQL 40

NoSQL MongoDB Certification Database 40

Data Engineering Podcast

FEBRUARY 11, 2018

Contact Info Ajay LinkedIn @acoustik on Twitter Timescale Blog Mike Website LinkedIn @michaelfreedman on Twitter Timescale Blog Timescale Website @timescaledb on Twitter GitHub Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today?

PostgreSQL 100

PostgreSQL NoSQL Google Cloud MongoDB 100

Knowledge Hut

APRIL 25, 2024

Spark provides an interactive shell that can be used for ad-hoc data analysis, as well as APIs for programming in Java, Python, and Scala. NoSQL databases are designed for scalability and flexibility, making them well-suited for storing big data. The most popular NoSQL database systems include MongoDB, Cassandra, and HBase.

Big Data 98

Big Data Technology Hadoop NoSQL 98

LinkedIn Engineering

JULY 19, 2023

We’ll also introduce OpenHouse’s control plane, specifics of the deployed system at LinkedIn including our managed Iceberg lakehouse, and the impact and roadmap for future development of OpenHouse, including a path to open source. House database service: This is an internal service to store table service and data service metadata.

Big Data 78

Big Data Data Management Management Metadata 78

Data Engineering Podcast

MARCH 18, 2018

In this episode Philipp Krenn describes the various pieces of the stack, how they fit together, and how you can use them in your infrastructure to store, search, and analyze your data. Links Elastic Vienna – Capital of Austria What Is Developer Advocacy? Links Elastic Vienna – Capital of Austria What Is Developer Advocacy?

MongoDB 100

MongoDB NoSQL Machine Learning Data Engineering 100

Data Engineering Podcast

JUNE 10, 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. What was the motivation for creating CockroachDB and building a business around it?

PostgreSQL 100

PostgreSQL NoSQL Relational Database SQL 100

Data Engineering Podcast

MARCH 11, 2018

Contact Info Website pramodsadalage on GitHub @pramodsadalage on Twitter Parting Question From your perspective, what is the biggest gap in the tooling or technology for data management today? You first co-authored Refactoring Databases in 2006. You first co-authored Refactoring Databases in 2006.

Database 100

Database MongoDB NoSQL Database Design 100

Monte Carlo

OCTOBER 31, 2024

Proficiency in Programming Languages Knowledge of programming languages is a must for AI data engineers and traditional data engineers alike. In addition, AI data engineers should be familiar with programming languages such as Python , Java, Scala, and more for data pipeline, data lineage, and AI model development.

Data Engineer 52

Data Engineer Data Engineering Engineering Unstructured Data 52

Data Engineering Podcast

JANUARY 7, 2018

To help other people find the show you can leave a review on iTunes , or Google Play Music , and tell your friends and co-workers Your host is Tobias Macey and today I’m interviewing Ozgun Erdogan and Craig Kerstiens about Citus, worry free PostGreSQL Interview Introduction How did you get involved in the area of data management?

PostgreSQL 100

PostgreSQL Big Data NoSQL Data 100

Rockset

MARCH 21, 2019

When we started Rockset, we envisioned building a powerful cloud data management system that was really easy to use. Making the data stack simpler is fundamental to making data usable by developers and data scientists. The data management should feel limitless.

SQL 52

SQL Data Management Management Engineering 52

Data Engineering Podcast

FEBRUARY 9, 2020

If you’re struggling with unwieldy dimensional models, slow moving projects, or challenges integrating new data sources then listen in on this conversation and then give data vault a try for yourself. We have partnered with organizations such as O’Reilly Media, Corinium Global Intelligence, ODSC, and Data Council.

Data Lake 100

Data Lake Data Warehouse Hadoop NoSQL 100

Data Engineering Podcast

MARCH 16, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Building 100

Building Data Warehouse NoSQL Data Lake 100

Data Engineering Podcast

APRIL 22, 2019

It is definitely worth a good look for anyone building a platform that needs a simple to manage data layer that will scale with your business. 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.

Database 100

Database Cloud NoSQL Scala 100

Data Engineering Podcast

MAY 6, 2019

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

Systems 100

Systems MongoDB NoSQL Database 100

Data Engineering Podcast

AUGUST 19, 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. Interview Introduction How did you get involved in the area of data management?

Database 100

Database PostgreSQL NoSQL Transportation 100

Data Engineering Podcast

AUGUST 3, 2020

This was an informative and enlightening conversation with two experts on graph data applications that will help you start on the right track in your own projects. If you hand a book to a new data engineer, what wisdom would you add to it? Can you start by explaining what your goals are for the Practitioner’s Guide To Graph Data?

NoSQL 100

NoSQL Database Algorithm Relational Database 100

Data Engineering Podcast

JULY 16, 2021

In this episode he shares his motivations for creating Prophecy, how he is leveraging the magic of compilers to translate between UI and code oriented representations of logic, and the organizational benefits of having a cohesive experience designed to bring business users and domain experts into the same platform as data engineers and analysts.

High Quality Data 100

High Quality Data Data Engineer Data Engineering Coding 100

AltexSoft

MAY 14, 2021

What is Big Data analytics? Big Data analytics is the process of finding patterns, trends, and relationships in massive datasets that can’t be discovered with traditional data management techniques and tools. The best way to understand the idea behind Big Data analytics is to put it against regular data analytics.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Cloudera

AUGUST 30, 2022

Agencies are plagued by a wide range of data formats and storage environments—legacy systems, databases, on-premises applications, citizen access portals, innumerable sensors and devices, and more—that all contribute to a siloed ecosystem and the data management challenge. . Modern data architectures. Forrester ).

Data Architecture 79

Data Architecture Architecture Data Lake NoSQL 79

Knowledge Hut

JULY 24, 2023

Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data. With these technologies, businesses and organizations enhance their data management procedures, upgrade their knowledge, and make better decisions using data. Disruptive database technologies are on them.

Database 52

Database NoSQL Management Relational Database 52

Cloudera

SEPTEMBER 24, 2021

Increasingly, skunkworks data science projects based on open source technologies began to spring up in different departments, and as one CIO said to me at the time ‘every department had become a data science department!’ . Data governance was completely balkanized, if it existed at all.

Data Architect 96

Data Architect Government NoSQL Big Data 96

Confluent

MAY 22, 2019

The explosive number of devices generating, tracking and sharing data across a variety of networks is overwhelming to most data management solutions. At stage three this data, which typically has a shelf life, is streamed into a long-term store like Scylla using the Kafka Connect framework. trillion by 2024.

Kafka 98

Kafka Google Cloud NoSQL Entertainment 98

Knowledge Hut

DECEMBER 26, 2023

MongoDB Certified Developer Associate Exam MongoDB is a NoSQL, document-based high-volume heterogeneous database system. So, many companies are actively looking for Big data and Spark developers who can optimize performance. Big Data is the term used to describe enormous volumes of data.

Certification 98

Certification Programming MongoDB R (Programming) 98

AltexSoft

JUNE 7, 2021

Data storage options. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Its in-memory processing engine allows for quick, real-time access to data stored in HDFS. Alternatively, you can opt for Apache Cassandra — one more noSQL database in the family.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

DareData

JANUARY 30, 2023

For data scientists, these skills are extremely helpful when it comes to manage and build more optimized data transformation processes, helping models achieve better speed and relability when set in production. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines.

Data Engineer 52

Data Engineer Data Engineering NoSQL Engineering 52

Grouparoo

DECEMBER 26, 2021

Alternatively, it can be non-autonomous, where a central control function manages all the distributed database instances. This requires complex interfacing between the distributed database instances to manage different operating mechanisms and interfaces. For this data type, SQL databases would be inefficient and impractical.

Database 52

Database NoSQL Relational Database Data Storage 52

Knowledge Hut

JULY 26, 2023

Database applications have become vital in current business environments because they enable effective data management, integration, privacy, collaboration, analysis, and reporting. It includes the tools and functionality required to create, store, retrieve, and modify data in a database.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

DECEMBER 26, 2023

In other words, they develop, maintain, and test Big Data solutions. They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. To become a Big Data Engineer, knowledge of Algorithms and Distributed Computing is also desirable.

Data Science 97

Data Science BI Machine Learning Business Intelligence 97

Edureka

AUGUST 18, 2024

Firstly, familiarizing oneself with the basic life essentials such as HTML, CSS, JavaScript, server-side languages, and data management will prepare you to tackle a variety of challenges in the tech world. A full-stack developer is also proficient in different types of databases, including SQL and NoSQL.

Programming Language 98

Programming Language Java Non-relational Database Database 98

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

MAY 2, 2016

TechTarget.com At the recent Strata + Hadoop World even 2016, Doug Cutting, the father of Hadoop says that he is amazed at how far the technology has come in the data management space. html ) Enterprise hits and misses – NoSQL marches on, and Hadoop tries to grow up. April 14, 2016. April 25, 2016.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Common formats include XML, JSON, and CSV.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

AUGUST 31, 2021

The Accenture Smart Data Transition Toolkit is also tightly integrated with Cloudera Data Platform for cloud data management and Cloudera Shared Data Experiences for secure, self-service analytics. Each of these accelerators support multiple legacy systems, including Teradata, Netezza, Oracle, etc.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Edureka

JULY 16, 2024

Meanwhile, back-end development entails server-side programming, databases, and logic that drives the front end, assuring functioning and data management. Back-end developers offer mechanisms of server logic APIs and manage databases with SQL or NoSQL technological stacks in PHP, Python, Ruby, or Node.

NoSQL 40

NoSQL PostgreSQL MongoDB Programming Language 40

Monte Carlo

JANUARY 5, 2024

A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Innovations in data lakehouse architecture have been an important step toward more flexible and powerful data management systems. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

A visualization of the flow of data in data lakehouse architecture vs. data warehouse and data lake. Innovations in data lakehouse architecture have been an important step toward more flexible and powerful data management systems. Image courtesy of Databricks.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52