Rockset

JULY 28, 2022

MongoDB has grown from a basic JSON key-value store to one of the most popular NoSQL database solutions in use today. This can be used to create data lakes, populate data warehouses or for specific use cases like offloading analytics and text search. It also provides native querying and analytics capabilities.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Data Engineering Podcast

APRIL 14, 2024

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Non-relational Database 147

Non-relational Database Relational Database Database Designing 147

Knowledge Hut

APRIL 26, 2024

They need to be competent programmers with some skills that are very similar to those necessary in a DevOps job, and with good and powerful writing skills for data query. Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake.

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

MARCH 19, 2024

It also keeps backups, media files, log data, and static website content. S3 is suitable across several scenarios that utilize S3’s durability, availability, and security features, such as data archiving, content distribution, and data lake implementations, among many others.

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Data Engineering Podcast

MARCH 16, 2020

Snowplow takes care of everything from installing your pipeline in a couple of hours to upgrading and autoscaling so you can focus on your exciting data projects. Your team will get the most complete, accurate and ready-to-use behavioral web and mobile data, delivered into your data warehouse, data lake and real-time streams.

Building 100

Building Data Warehouse NoSQL Data Lake 100

Rockset

JUNE 2, 2020

7 New Product Announcement: Schema Advisor Many engineers familiar with relational models experience newfound freedoms when they move to NoSQL databases like MongoDB- they no longer need to pre-define schemas before data can be queried. If you feel that your platform needs a facelift, this talk is for you.

MongoDB 52

MongoDB Data Lake Kafka NoSQL 52

Grouparoo

OCTOBER 6, 2021

36 Give Data Products a Frontend with Latent Documentation Document more to help everyone 37 How Data Pipelines Evolve Build ELT at mid-range and move to data lakes when you need scale 38 How to Build Your Data Platform like a Product PM your data with business. 89 What Is Big Data?

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Cloudera

OCTOBER 13, 2020

CDP Data Hub: a VM/Instance-based service that allows IT and developers to build custom business applications for a diverse set of use cases with secure, self-service access to enterprise data. . CDP Operational Database (2) – an autonomous, multimodal, autoscaling database environment supporting both NoSQL and SQL.

Cloud 93

Cloud Data Warehouse AWS NoSQL 93

Rockset

AUGUST 27, 2020

NoSQL Data Makes Analytics Challenging Matter’s services range from end-user-facing dashboards and portfolio summarization to sophisticated data pipelines and APIs that track sustainability metrics on investable companies and organizations all over the world.

NoSQL 40

NoSQL Data Lake Portfolio Architecture 40

Data Science Blog: Data Engineering

DECEMBER 23, 2022

Das Profil des Data Engineers: Big Data High-Tech Auch wenn Data Engineering von Hochschulen und Fortbildungsanbietern gerade noch etwas stiefmütterlich behandelt werden, werden der Einsatz und das daraus resultierende Anforderungsprofil eines Data Engineers am Markt recht eindeutig skizziert.

Data Engineering 52

Data Engineering Data Engineer Engineering Business Intelligence 52

Knowledge Hut

APRIL 25, 2023

Strong programming skills: Data engineers should have a good grasp of programming languages like Python, Java, or Scala, which are commonly used in data engineering. Database management: Data engineers should be proficient in storing and managing data and working with different databases, including relational and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Databand.ai

AUGUST 30, 2023

Data Storage Once data is ingested, it must be stored in a suitable data storage platform that can accommodate the volume, variety, and velocity of the data being processed. Data storage platforms can include traditional relational databases, NoSQL databases, data lakes, or cloud-based storage services.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Rockset

APRIL 27, 2021

Many developers use NoSQL databases in order to ingest unstructured and schemaless data. When it comes to understanding the data by writing queries that join, aggregate, and search, it becomes more challenging. In this twitch stream, we created a MongoDB Atlas instance.

MongoDB 40

MongoDB NoSQL Unstructured Data Data Lake 40

Ascend.io

NOVEMBER 21, 2023

Extract The initial stage of the ELT process is the extraction of data from various source systems. This phase involves collecting raw data from the sources, which can range from structured data in SQL or NoSQL servers, CRM and ERP systems, to unstructured data from text files, emails, and web pages.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Knowledge Hut

JANUARY 22, 2024

Students learn skills to build data pipelines, query data lakes and develop cloud-native applications using services from AWS, Azure and Google Cloud. Data Engineering These courses provide expertise on building and maintaining data pipelines for AI/ML applications.

Data Science 52

Data Science Certification Education Data Lake 52

Knowledge Hut

NOVEMBER 28, 2023

Relational database management systems (RDBMS) remain the key to data discovery and reporting, regardless of their location. Traditional data transformation tools are still relevant today, while next-generation Kafka, cloud-based tools, and SQL are on the rise for 2023.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Silectis

JANUARY 3, 2021

Data Ingestion The process by which data is moved from one or more sources into a storage destination where it can be put into a data pipeline and transformed for later analysis or modeling. Data Integration Combining data from various, disparate sources into one unified view.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

NOVEMBER 18, 2023

Azure Data Lake Storage is for big data. Managed and unmanaged disks store VM data. Azure Backup secures data backups. Cosmos DB is a globally distributed NoSQL database. Azure Load Balancer distributes traffic. Azure VPN Gateway connects on-premises and Azure. Resource Locks prevent accidental deletion.

Certification 52

Certification SQL PostgreSQL NoSQL 52

Ascend.io

SEPTEMBER 14, 2023

Use Case: Transforming monthly sales data to weekly averages import dask.dataframe as dd data = dd.read_csv('large_dataset.csv') mean_values = data.groupby('category').mean().compute() compute() Data Storage Python extends its mastery to data storage, boasting smooth integrations with both SQL and NoSQL databases.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Ascend.io

JANUARY 3, 2023

How the Industry Evolved The data as a product mindset didn’t happen overnight. It has evolved over the years as data thought leaders have tackled problems like big data, data lakes, accessibility, and other modern data challenges. These tools allow us to efficiently store tremendous amounts of information.

Data 52

Data Data Lake Business Intelligence Big Data 52

Rockset

AUGUST 13, 2020

Your data stack is 10x more streamlined when you combine the the low ops approach of serverless with flexibility of NoSQL data model This type of modern data stack in the cloud uses a serverless transactional database for OLTP, a data stream for events, a data lake with query engine for BI and a real-time indexing layer for serving applications.

BI 40

BI NoSQL Data Lake Architecture 40

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake? What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

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

Rockset

MAY 24, 2021

The most popular data storage layers for a serverless stack include: Amazon S3: Amazon Simple Storage Service is offered through AWS as a scalable infrastructure solution. Azure Data Lake: Microsoft's analytics platform and serverless data lake is offered through the company's public cloud, Azure.

Database 40

Database Google Cloud AWS Cloud Storage 40

Rockset

OCTOBER 20, 2021

This can be helpful when you want to reduce the size of large scale data streams, deduplicate data, or partition your data. Collections can also be created from other data sources including data lakes (e.g. S3 or GCS), NoSQL databases (e.g. DynamoDB or MongoDB), and relational databases (e.g.

SQL 52

SQL PostgreSQL MongoDB NoSQL 52

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

MAY 2, 2017

The participants will be introduced to Hadoop World software for computing and analysing data that will help them in the organization's growth. Despite the hype around NoSQL, SQL is still the go-to query language for relational databases and other emerging novel database technologies. Source : [link] ) Data Works, Hadoop 3.0

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

ProjectPro

MAY 2, 2016

html ) Enterprise hits and misses – NoSQL marches on, and Hadoop tries to grow up. Diginomica.com With huge interest in cloud-based applications using NoSQL for batch processing and real time analytics using data pipes- the biggest challenge is designing the applications in a streaming way and not the hadoop or data lake way.

Hadoop 52

Hadoop NoSQL Hospitality Big Data 52

ProjectPro

NOVEMBER 1, 2016

Source: [link] Big data technology market speeding up with NoSQL and Hadoop at forefront.CloudComputing-News.net October 3,2016 According to a recent report from Forrester titled Big Data Management Solutions Forecast 2016 to 2021,Hadoop and NoSQL will see a major growth.With the markets growing 25.0%

Hadoop 40

Hadoop NoSQL Big Data SQL 40

Rockset

JANUARY 3, 2023

Organizations will lean into processing data as it becomes available and storing it in a user-friendly format for reporting purposes (whether that’s as a denormalized file in a data lake or in a key-value NoSQL database like DynamoDB).

Data Warehouse 52

Data Warehouse Education Database Data 52

Databand.ai

DECEMBER 13, 2022

Bob also hosts The Engineering Side of Data podcast , which is dedicated to discussions around data engineering and features a variety of guests from the data engineering space. His specialties include Microsoft SQL Server, Azure Databricks, Azure Data Factory, SQL Server Integration Services (SSIS), and Azure Data Lake.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Data Engineering Podcast

JANUARY 21, 2024

In this episode Tasso Argyros, CEO of ActionIQ, gives a summary of the major epochs in database technologies and how he is applying the capabilities of cloud data warehouses to the challenge of building more comprehensive experiences for end-users through a modern customer data platform (CDP).

Data Lake 147

Data Lake High Quality Data NoSQL Data Warehouse 147

Knowledge Hut

JULY 3, 2023

Data Storage: Real-Time data ingestion infrastructure requires storage capable of handling and storing high amounts of data with low latency. Like, in-memory databases, NoSQL databases, data lakes, or cloud-based storage, depending upon the requirements of the organization.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

ProjectPro

APRIL 1, 2016

(Source: [link] ) Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization How Centrica is using Hadoop, Spark and NoSQL as part of its big data strategy. Four years ago Centrica was struggling hard on how to deal with the exponential increase in big data.

Hadoop 52

Hadoop BI Big Data Big Data Tools 52

Knowledge Hut

OCTOBER 8, 2023

Data warehousing - This is a central repository of information you use to analyze data and make decisions. You need to know the data warehousing concepts to make your job easy. You must be proficient in NoSQL and SQL for data engineers to help with database management. There are a few that have gained popularity.

AWS 52

AWS Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 26, 2023

However, there has been a lack of Big Data specialists in the IT industry, so if you want to become a Big Data Engineer , now is the time to acquire the required abilities. The abilities you must develop are as follows: coding abilities (Python, R, SQL, Scala, etc.)

Banking 52

Banking Insurance Finance Cloud Computing 52

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. Examples of NoSQL databases include MongoDB or Cassandra. Introduction to Designing Data Lakes in AWS.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52