Data Engineering Podcast

NOVEMBER 11, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Designing 100

Designing Data Pipeline Programming Language Data 100

Data Engineering Podcast

NOVEMBER 18, 2019

Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo! and Facebook, scaling from terabytes to petabytes of analytic data. He started Datacoral with the goal to make SQL the universal data programming language. Raghu Murthy, founder and CEO of Datacoral built data infrastructures at Yahoo!

Data Lake 100

Data Lake Scala Data Warehouse Hadoop 100

AltexSoft

OCTOBER 30, 2021

Linear regression, classification, and ranking are also machine learning tasks and are common in operating real-world data. Programming. Data scientists use different programming tools to extract data, build models, and create visualizations. Data warehousing. Machine learning techniques.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Knowledge Hut

JANUARY 18, 2024

SQL for data migration 2. The role can also be defined as someone who has the knowledge and skills to generate findings and insights from available raw data. The skills that will be necessarily required here is to have a good foundation in programming languages such as SQL, SAS, Python, R.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Data Engineering Weekly

FEBRUARY 11, 2024

link] Niels Cautaerts: A dataframe is a bad abstraction What is an efficient abstraction for data programming? It is a long-debated topic, and SQL is one of the hard-criticized languages. See: 10 Things I hate about SQL ]. For a change, this time, it is the data frame.

Data Engineering 62

Data Engineering Data Engineer Engineering SQL 62

Knowledge Hut

DECEMBER 22, 2023

Statistics are important for analyzing and interpreting the data. Programming: There are many programming languages out there that were created for different purposes. Some offer great productivity and performance to process significant amounts of data, making them better suitable for data science.

Portfolio 98

Portfolio Data Science Programming Language Scala 98

Knowledge Hut

MAY 9, 2024

Highest Paying Data Science Job Titles Studies suggest the data scientists' employment rate will surge to 36% by 2031. While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. 49% of the job ads on LinkedIn are in the Tech and IT industry.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52

Knowledge Hut

DECEMBER 13, 2023

HData Systems is a data science company that offers services to help businesses improve their performance and productivity via the use of analytical methods. Hyperlink Infosystem As a trustworthy provider of data science services, Hyperlink InfoSystem enables businesses to develop and carry out well-thought-out big data programs.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Monte Carlo

JUNE 17, 2021

“But it’s really valuable to know that this sort of thing is happening with our data, because it gives us confidence that if there were a genuine issue, we’d find out about it in the same way.” Whether it’s custom SQL rules or dbt tests, you have to do that upfront configuration,” said Edward.

Data 40

Data Data Engineering Data Engineer Data Pipeline 40

Ascend.io

MAY 18, 2023

In the on-premise data stack era, companies relied on mainframe hardware stored in server rooms, access to which was limited to a few individuals with the golden keys and the necessary expertise. They use these reference architectures as both education and guide to accelerate their own data programs.

Data Warehouse 52

Data Warehouse Data Pipeline Data Lake Data Engineering 52

Edureka

JANUARY 18, 2024

Explore real-world examples, emphasizing the importance of statistical thinking in designing experiments and drawing reliable conclusions from data. Programming A minimum of one programming language, such as Python, SQL, Scala, Java, or R, is required for the data science field.

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

ProjectPro

MARCH 7, 2016

Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired. It is necessary for individuals to bridge the wide gap between the academia big data programs and the industry practices.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40