Data Science Blog

MARCH 14, 2023

In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt. Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre.

Big Data 147

Big Data Big Data Apache Hadoop Hadoop 147

Mlearning.ai

FEBRUARY 22, 2023

This could involve using a distributed file system, such as Hadoop, or a cloud-based storage service, such as Amazon S3. This could involve using tools like Tableau or Power BI to create visualizations and dashboards. This could involve batch processing or real-time streaming, depending on your needs.

Big Data 52

Big Data Big Data Power BI Hadoop 52

Mlearning.ai

MARCH 15, 2023

Experience with visualization tools like; Tableau and Power BI. Knowledge of big data platforms like; Hadoop and Apache Spark. High proficiency in visualization tools like; Tableau, Google Studio, and Power BI. Basic programming knowledge in R or Python.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Some of the tools you can expect to see used will be Power BI and Tableau Data Architect Before you ask, yes a data architect and a data engineer are quite different.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI.

Data Science 84

Data Science Analytics Analytics Data Scientist 84

Dataconomy

JULY 24, 2023

Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful. Learn relevant tools Familiarize yourself with data science tools and platforms, such as Tableau for data visualization, or Hadoop for big data processing. This is where data visualization comes in.

Data Scientist 172

Data Scientist Data Analyst Data Science Machine Learning 172