Data Engineering Weekly

FEBRUARY 26, 2023

the addition of the “Fully Managed” category is an exciting space to watch out for. link] Funding Circle: Data Engineering Culture @ FC Many companies show their technical excellence in their blogs. Perhaps merge Data LakeHouse & Data Warehouse in the next edition? The gap is blurring between them.

Data Engineering 57

Data Engineering Data Engineer Engineering Raw Data 57

Cloudera

JULY 24, 2023

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

Software Engineer 68

Software Engineer Software Engineering Project Coding 68

Cloudera

SEPTEMBER 17, 2020

A North American telecom company struggled for years trying to react quickly enough to new categories and new levels of spam texts and calls. You can tie multiple visuals and filters (fixed or dynamic) into advanced dashboards – while reusing these visuals for other dashboards. Today’s data tool challenges.

Unstructured Data 84

Unstructured Data Data Warehouse Pharmaceutical MySQL 84

Confluent

FEBRUARY 6, 2019

Uber expanded Michelangelo “to serve any kind of Python model from any source to support other Machine Learning and Deep Learning frameworks like PyTorch and TensorFlow [instead of just using Spark for everything].”. They work well with all categories of machine learning. For now, we’ll focus on Kafka.

Machine Learning 107

Machine Learning Python Kafka Java 107

Cloudera

FEBRUARY 14, 2018

We think of the journey to being data-driven as falling into three big categories. Cloudera’s Information Security Team was named a finalist in the Cybersecurity Team of the Year category. The post Cloudera on Cloudera: Our Journey to Becoming more Data-driven appeared first on Cloudera Blog. The first is visibility.

Finance 44

Finance Professional Services Data Cloud 44

ProjectPro

SEPTEMBER 29, 2021

In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. It first builds the essential elements of probability for its readers and then climbs up to complicated topics in advanced distribution theory. Refer to the following categories of projects to know more.

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

ProjectPro

FEBRUARY 16, 2023

If you are still wondering whether or why you need to master SQL for data engineering, read this blog to take a deep dive into the world of SQL for data engineering and how it can take your data engineering skills to the next level. The following categories can be used to classify SQL data types broadly.

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Advanced-level understanding of mathematics, statistics, computer science, etc., The first two sections briefly overview the two domains and some significant differences. It doesn't entail creating data visualizations.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JULY 23, 2021

This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Chatbots using AWS Lex Advanced Level AWS Projects 11. As illustrated in the figure below, AWS offers a wide range of services classified into different types and categories. Real-time Data Processing Application 7.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Knowledge Hut

DECEMBER 26, 2023

Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Edureka

JANUARY 18, 2024

Machine Learning Machine Learning is an exciting field in which computers learn and evolve on their own, increasing their power, adaptability, and insight.These topics are divided into three categories. Stay updated on data science advancements. It also discusses available resources and tools, and the current data science landscape.

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

FEBRUARY 24, 2016

This blog breaks down the data science salary figures for today’s data workforce based on which company they work for, years of experience, specialization of data science tools and technologies, location, and other factors. What’s the average data scientist salary in 2023? How much does a data scientist make?

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

DECEMBER 14, 2021

We will look at some intriguing sample Power BI projects in this blog to help you better understand the role of Power BI in Data Science and how it can help businesses thrive. Movie Sales Visualization Advanced-Level Power BI Project Ideas 11. 15 Power BI Project Examples This blog lists 15 Microsoft Power BI projects for you.

BI 52

BI Project Business Intelligence Datasets 52

Cloudera

NOVEMBER 18, 2021

Given the way we have seen communities and workplace cultures come together and stand for change over what has been a disruptive 20 months, we are proud to introduce the People First category to the 2021 DIA. The post Celebrating Data Superheroes: The 2021 Data Impact Awards Winners appeared first on Cloudera Blog.

Banking 78

Banking Data Lake Telecommunication Data 78

ProjectPro

NOVEMBER 22, 2021

PySpark runs a completely compatible Python instance on the Spark driver (where the task was launched) while maintaining access to the Scala-based Spark cluster access. This enables them to integrate Spark's performant parallel computing with normal Python unit testing. Is PySpark the same as Spark? appName('ProjectPro').getOrCreate()

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

NOVEMBER 15, 2021

This blog will walk through the most popular and fascinating open source big data projects. Apache Beam Source: Google Cloud Platform Apache Beam is an advanced unified programming open-source model launched in 2016. It serves as a distributed processing engine for both categories of data streams: unbounded and bounded.

Big Data 52

Big Data Project Metadata Programming Language 52

Rockset

JANUARY 11, 2023

For instance, if you are an ecommerce site, you can partition data in DynamoDB based on a product category and then run the search in-memory. An e-commerce site might partition data based on product category. Apparently, this is how Amazon.com retail division handles a lot of text search use cases.

AWS 52

AWS Media NoSQL Database 52

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. What does an Azure Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

Cloudera

NOVEMBER 2, 2020

This is resulting in advancements of what is provided by the technology, and a resulting shift in the art of the possible. As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound. Hydrosphere.io — Deploys batch Spark functions, machine-learning models, and assures the quality of end-to-end pipelines.

Consulting 123

Consulting Machine Learning Data Science Data Pipeline 123

Cloudera

JANUARY 3, 2019

On January 3, we closed the merger of Cloudera and Hortonworks — the two leading companies in the big data space — creating a single new company that is the leader in our category. Our new Chief Product Officer Arun Murthy has a post up on the Hortonworks blog , explaining what the future holds in product strategy and development.

Hadoop 75

Hadoop Machine Learning Big Data Data Warehouse 75

AltexSoft

JUNE 9, 2023

This practical exploration can help spark your imagination on how this cutting-edge technology could redefine your field. Types of language models Language models come in two main categories: statistical models and those based on deep neural networks. Transformers Transformers are an advanced type of deep learning architecture.

Project 52

Project Java Hospitality Transportation 52

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Well, this Azure interview questions and answers blog will help you land your dream cloud computing job role! To make things easier for you, we have listed the interview questionson azure in five different categories. What’s next?

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JUNE 29, 2021

This blog brings you the most popular Kafka interview questions and answers divided into various categories such as Apache Kafka interview questions for beginners, Advanced Kafka interview questions/Apache Kafka interview questions for experienced, Apache Kafka Zookeeper interview questions, etc.

Kafka 40

Kafka Bytes Big Data Java 40

ProjectPro

JULY 27, 2021

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

JULY 30, 2021

Language Used: Python Packages/Libraries: NumPy, Matplotlib, cv2(OpenCV) Source Code: OpenCV Project for Beginners to Learn Computer Vision Basics 3) OpenCV Project to Master Advanced Computer Vision Concepts Image Processing methods form the base of computer vision applications. on different images in a dataset. 891 customers.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

AltexSoft

DECEMBER 15, 2021

a set of basic algorithms for two major machine learning tasks — classification to define a category of a given object and regression to predict numerical values. More advanced solutions also may embrace. Source: Google Cloud Blog. It’s also capable of processing raw texts, using an advanced BERT deep learning model for NLP.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Cloudera

NOVEMBER 22, 2021

Open source frameworks such as Apache Impala, Apache Hive and Apache Spark offer a highly scalable programming model that is capable of processing massive volumes of structured and unstructured data by means of parallel execution on a large number of commodity computing nodes. . Limited flexibility to use more complex hosting models (e.g.,

Government 95

Government Hadoop Data Security Data Warehouse 95

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Many of their dashboards heavily relied on this field so they used the data lineage capabilities within a data observability platform to prepare in advance for this change.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Many of their dashboards heavily relied on this field so they used the data lineage capabilities within a data observability platform to prepare in advance for this change.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52

Netflix Tech

JANUARY 25, 2022

In fact, most of the material from this blog series has been adapted from our internal Experimentation 101 and 201 classes, which are open to anyone at Netflix. This series has focused on fixed time horizon tests: sample sizes, the proportion of traffic allocated to each treatment experience, and the test duration are all fixed in advance.

Education 95

Education Entertainment Programming Designing 95