Data Engineering Podcast

NOVEMBER 18, 2019

We have partnered with organizations such as O’Reilly Media, Dataversity, Corinium Global Intelligence, Alluxio, and Data Council. Upcoming events include the combined events of the Data Architecture Summit and Graphorum, the Data Orchestration Summit, and Data Council in NYC.

Data Lake 100

Data Lake Scala Data Warehouse Hadoop 100

Knowledge Hut

MAY 3, 2024

A new breed of ‘Fast Data’ architectures has evolved to be stream-oriented, where data is processed as it arrives, providing businesses with a competitive advantage. Dean Wampler (Renowned author of many big data technology-related books) Dean Wampler makes an important point in one of his webinars.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Snowflake

NOVEMBER 2, 2023

And, since historically tools and commercial platforms were often designed to align with one specific architecture pattern, organizations struggled to adapt to changing business needs – which of course has implications on data architecture.

Data Lake 114

Data Lake Data Warehouse Cloud Unstructured Data 114

AltexSoft

MARCH 30, 2023

Authorized users can share notebooks, libraries, queries, ML experiments, data visualizations , and other objects across the organization in a secure manner, enhancing collaboration. Moreover, the platform supports four languages — SQL, R, Python , and Scala — and allows you to switch between them and use them all in the same script.

Scala 64

Scala Data Lake Machine Learning BI 64

Airbnb Tech

NOVEMBER 3, 2020

To ensure that we continue to meet these expectations, it was apparent that we needed to make sizable investments in our data. These investments centered around addressing areas related to ownership, data architecture, and governance. Testing Another area we needed to improve was our data pipeline testing.

Data Warehouse 52

Data Warehouse Scala Datasets Data Engineering 52

Knowledge Hut

NOVEMBER 17, 2023

You ought to be able to create a data model that is performance- and scalability-optimized. Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

AltexSoft

OCTOBER 30, 2021

Depending on the project, data engineers can have a wider or narrow set of responsibilities, so their skillset may vary as well. An overview of data engineer skills. Data engineers are well-versed in Java, Scala, and C++, since these languages are often used in data architecture frameworks such as Hadoop, Apache Spark, and Kafka.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Snowflake

JUNE 7, 2023

To run a diverse set of workloads with minimal operational burden, Snowflake built an intelligent engine that plans and optimizes the execution of concurrent workloads using a multi-clustered, shared data architecture. It also features logically integrated but physically separated storage and compute.

Java 59

Java Python Designing Process 59

Knowledge Hut

NOVEMBER 28, 2023

Python is ubiquitous, which you can use in the backends, streamline data processing, learn how to build effective data architectures, and maintain large data systems. Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Despite these nuances, Spark’s high-speed processing capabilities make it an attractive choice for big data processing tasks.

Big Data 52

Big Data Data Process Process Hadoop 52

Edureka

AUGUST 29, 2024

Projects: Engage in projects with a component that involves data collection, processing, and analysis. Learn Key Technologies Programming Languages: Language skills, either in Python, Java, or Scala. Data Warehousing: Experience in using tools like Amazon Redshift, Google BigQuery, or Snowflake.

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. What is the most popular Azure Certification?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

SEPTEMBER 26, 2023

Language Compatibility: Databricks provides extensive language compatibility, catering to data professionals with diverse skill sets. Some of the prominent languages supported include: Scala: Ideal for developers who want to leverage the full power of Apache Spark.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

Pinterest Engineering

JULY 25, 2023

Once running, all Hadoop jobs (Spark/Scala, PySpark, SparkSQL, MapReduce) read and write S3 data via the S3A implementation of the Hadoop filesystem API. Figure 3 illustrates the resulting overall FGAC Big Data architecture. CVS formed the cornerstone of our approach to extending Monarch with FGAC capabilities.

Big Data 98

Big Data Accessible Accessibility Hadoop 98

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering NoSQL 52

Monte Carlo

JULY 27, 2023

The most common use case data quality engineers support are: Analytical dashboards : Mentioned in 56% of job postings Machine learning or data science teams : Mentioned in 34% of postings Gen AI : Mentioned in one job posting (but really emphatically). About 61% request you also have a formal computer science degree.

Engineering 52

Engineering Healthcare Data Warehouse Scala 52

Cloud Academy

JANUARY 27, 2022

Part of the Data Engineer’s role is to figure out how to best present huge amounts of different data sets in a way that an analyst, scientist, or product manager can analyze. What does a data engineer do? A data engineer is an engineer who creates solutions from raw data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Snowflake

JUNE 28, 2023

Snowpark under the hood Check out these great in-depth blogs and videos from the Snowpark Engineering team on how Snowpark was built, how it works, and how it makes it easy and secure to process Python/Java/Scala code in Snowflake.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Knowledge Hut

APRIL 26, 2024

The Base For Data Science Though data scientists come from different backgrounds, have different skills and work experience, most of them should either be strong in it or have a good grip on the four main areas: Business and Management Statistics and Probability. B.Tech(Computer Science) Or Data Architecture.

Data Science 52

Data Science Machine Learning Hadoop Algorithm 52

Knowledge Hut

OCTOBER 3, 2023

Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

SEPTEMBER 22, 2023

This exam tests how well you can configure each component of a data processing pipeline and set it up. It necessitates that you possess in-depth understanding of parallel processing, data architecture patterns, and data computation languages (ideally SQL, Python, or Scala).

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

JULY 4, 2024

The platform’s massive parallel processing (MPP) architecture empowers you with high-performance querying of even massive datasets. Polyglot Data Processing Synapse speaks your language! It supports multiple programming languages including T-SQL, Spark SQL, Python, and Scala.

Data Lake 40

Data Lake Pipeline-centric Data Warehouse ETL Tools 40

Knowledge Hut

DECEMBER 28, 2023

Hadoop can store data and run applications on cost-effective hardware clusters. Its data architecture is flexible, relevant, and schema-free. To learn more about this topic, explore our Big Data and Hadoop course. The data architecture must guarantee data security and enforce access control measures.

Hadoop 52

Hadoop Project Big Data Datasets 52

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

FEBRUARY 21, 2023

Azure Data Engineer Associate DP-203 Certification Candidates for this exam must possess a thorough understanding of SQL, Python, and Scala, among other data processing languages. Must be familiar with data architecture, data warehousing, parallel processing concepts, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

NOVEMBER 14, 2015

It plays a key role in streaming in the form of Spark Streaming libraries, interactive analytics in the form of SparkSQL and also provides libraries for machine learning that can be imported using Python or Scala. This data can be analysed using big data analytics to maximise revenue and profits.

Hadoop 52

Hadoop Project Big Data Healthcare 52

Knowledge Hut

MARCH 5, 2024

Data engineers working on healthcare product development may build data systems to support AI-powered medical image analysis. On the other hand, a data engineer working in a hospital system might design a data architecture that manages and integrates electronic medical records.

Data Engineering 52

Data Engineering Data Engineer Engineering Education 52

Knowledge Hut

MAY 4, 2023

According to Salary Expert, the data engineer average salary for a beginner with 1-3 years of experience is approximately $76,537. To earn more, you must invest time in mastering tools such as SQL, Python, ETL procedures, and big data architectures.

Data Engineering 52

Data Engineering Data Engineer Engineering Banking 52

Knowledge Hut

FEBRUARY 27, 2023

They should be familiar with major coding languages like R, Python, Scala, and Java and scientific computing tools like MATLAB. Once you are in the domain, there are many career scopes ahead, including data sciences, data analysis, data architecture, reinforcement learning, deep learning, and a few other related streams.

Machine Learning 52

Machine Learning Software Engineer Software Engineering Education 52

Edureka

FEBRUARY 9, 2023

Write UDFs in Scala and PySpark to meet specific business requirements. Develop JSON scripts for deploying pipelines in Azure Data Factory (ADF) that process data using SQL activities. It helps in the design of efficient, scalable and maintainable databases, data warehouses, and data marts.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

DECEMBER 26, 2023

A strong foundation of statistics is essential for them, and almost all data science tools are largely useful. They are experts in coding in programming languages like Python, Java, Scala, C++. They also require experience in Hadoop, Spark, Amazon Web services, etc.

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Databand.ai

DECEMBER 20, 2022

Neelesh regularly shares his advice channels, including as a recent guest on Databand’s MAD Data Podcast , where he spoke about how engineering can deliver better value for data science. On LinkedIn, he posts frequently about data engineering, data architecture, interview preparation, and career advice.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

ProjectPro

JANUARY 31, 2023

Spark Architecture has three major components: API, Data Storage, and Management Framework. Spark provides APIs for the programming languages Java, Scala, and Python. Data Storage: Spark stores data using the HDFS file system. Any Hadoop-compatible data source, such as HDFS, HBase, and Cassandra , etc.,

Big Data 52

Big Data Hadoop Relational Database AWS 52

ProjectPro

JANUARY 31, 2022

Snowflake in Action at Western Union Snowflake's multi-cluster shared data architecture expanded instantaneously to serve Western Union's data, users, and workloads without causing resource conflict. The query processing layer is separated from the disk storage layer in the Snowflake data architecture.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Databand.ai

DECEMBER 13, 2022

He currently runs a YouTube channel, E-Learning Bridge , focused on video tutorials for aspiring data professionals and regularly shares advice on data engineering, developer life, careers, motivations, and interviewing on LinkedIn.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JULY 27, 2021

How do you access Azure Data Lake Storage from a Notebook? Walmart Data Engineer Interview Questions Some of the Data Engineer interview questions asked in Walmart are 105. What is a case class in Scala? Elaborate on the Hive architecture. What are the various types of data models?

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Advancing Analytics: Data Engineering

NOVEMBER 10, 2020

Given Spark’s origins in the big data community this makes sense. The established toolsets are geared towards Python and Scala developers, people who are very literate in distributed compute for solving complex data problems.

SQL 52

SQL BI Data Warehouse Data Lake 52