Workfall

SEPTEMBER 18, 2023

It’s like having a conductor that orchestrates the flow of information, ensuring that data reaches its destination flawlessly. You don’t need to possess intricate coding skills or IT expertise. With its drag-and-drop interface, creating data pipelines becomes as easy as arranging blocks in a puzzle.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Netflix Tech

OCTOBER 27, 2020

Bulldozer makes data warehouse tables more accessible to different microservices and reduces each individual team’s burden to build their own solutions. Figure 1 shows how we use Bulldozer to move data at Netflix. Moving data with Bulldozer at Netflix. Dataset of January 1st 2020. D ataset of January 2nd 2020.

Data Warehouse 97

Data Warehouse Datasets Data Big Data 97

ProjectPro

NOVEMBER 22, 2021

It's easier to use Python's expressiveness to modify data in tabular format, thanks to PySpark's DataFrame API architecture. During the development phase, the team agreed on a blend of PyCharm for developing code and Jupyter for interactively running the code. What's the difference between an RDD, a DataFrame, and a DataSet?

Hadoop 52

Hadoop Python Datasets Metadata 52

Knowledge Hut

NOVEMBER 3, 2023

Real-time Data: Change Streams allows MongoDB users to stream data in real time (as the data is being generated/updated) and provides immediate insights in addition to enabling the data analysts to access the information almost immediately. Quickly pull (fetch), filter, and reduce data.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

DECEMBER 28, 2023

No Software Load Whether you are working on the cloud or your on-premise system, you’ll need to install some software for database access. If you use an online SQL tool though, all you need is a web browser to access the tool. All this is taken care of by online SQL tool providers, leaving you free to focus on your work.

SQL 52

SQL MySQL PostgreSQL Database 52

ProjectPro

JANUARY 31, 2023

MapReduce is a Hadoop framework used for processing large datasets. Another name for it is a programming model that enables us to process big datasets across computer clusters. This program allows for distributed data storage, simplifying complex processing and vast amounts of data. What is MapReduce in Hadoop?

Big Data 52

Big Data Hadoop AWS Relational Database 52

Netflix Tech

OCTOBER 23, 2019

Visibility The Polynote UI provides at-a-glance insights into the state of the kernel by showing kernel status, highlighting currently-running cell code, and showing currently executing tasks. A notebook execution is a record of a particular piece of code, run at a particular point in time, in a particular environment.

Scala 93

Scala Machine Learning Python Coding 93

Rockset

OCTOBER 6, 2022

Consequently, we needed a data backend with the following characteristics: Scale With ~50 commits per working day (and thus at least 50 pull request updates per day) and each commit running over one million tests, you can imagine the storage/computation required to upload and process all our data. What did we use before Rockset?

AWS 52

AWS Data Schemas Accessible Accessibility 52

Cloud Academy

JANUARY 27, 2022

They need to understand common data formats and interfaces, and the pros and cons of different storage options. Data engineers are responsible for transforming data into an easily accessible format, identifying trends in data sets, and creating algorithms to make the raw data more useful for business units.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Knowledge Hut

MARCH 22, 2024

Versatility: The versatile nature of MongoDB enables it to easily deal with a broad spectrum of data types , structured and unstructured, and therefore, it is perfect for modern applications that need flexible data schemas. Experience with infrastructure-as-code tools (e.g., Cloud platform and service proficiency (e.g.,

MongoDB 52

MongoDB Amazon Web Services Computer Science Education 52

Rockset

DECEMBER 9, 2021

Companies that embraced the modern data stack reaped the rewards, namely the ability to make even smarter decisions with even larger datasets. Now more than ten years old, the modern data stack is ripe for innovation. Real-time insights delivered straight to users, i.e. the modern real-time data stack.

Transportation 52

Transportation BI SQL Data Warehouse 52

dbt Developer Hub

FEBRUARY 7, 2022

A customer 360 is a fancy way of saying that you have a holistic dataset that lets understand your customers’ behavior. Make sure you check your dataset to see if this is a valid assumption. Oftentimes, in a CRM’s data schema, there’s a built-in treatment for handling merged entities. What's a customer 360? ​

Data Warehouse 52

Data Warehouse Datasets Data SQL 52

Monte Carlo

FEBRUARY 6, 2023

Migrations require support from everyone from data engineers and stakeholders to cross-functional partners in order to be successful, so it’s critically important to get the right people around the table early. What teams will be using your new data warehouse? What will they need access to and when? Is your data structured?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 52

Monte Carlo

APRIL 24, 2023

If streaming data is a priority for your platform, you might also choose to leverage a system like Confluent’s Apache Kafka along with some of the above mentioned technologies. That means less engineering time spent coding and maintaining pipelines—and less complexity down the road as you begin to invest in other layers of your data stack.

Data Pipeline 52

Data Pipeline Building Data Ingestion BI 52

Netflix Tech

OCTOBER 23, 2019

Visibility The Polynote UI provides at-a-glance insights into the state of the kernel by showing kernel status, highlighting currently-running cell code, and showing currently executing tasks. A notebook execution is a record of a particular piece of code, run at a particular point in time, in a particular environment.

Scala 43

Scala Machine Learning Python Coding 43

Netflix Tech

OCTOBER 23, 2019

Visibility The Polynote UI provides at-a-glance insights into the state of the kernel by showing kernel status, highlighting currently-running cell code, and showing currently executing tasks. A notebook execution is a record of a particular piece of code, run at a particular point in time, in a particular environment.

Scala 40

Scala Machine Learning Python Coding 40

ProjectPro

APRIL 26, 2016

Pig vs Hive Criteria Pig Hive Type of Data Apache Pig is usually used for semi structured data. Used for Structured Data Schema Schema is optional. Hive requires a well-defined Schema. Language It is a procedural data flow language. Hcatalog can be used to share data structures with external systems.

Hadoop 40

Hadoop Metadata SQL Database 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Java 40