AltexSoft

OCTOBER 30, 2021

A data scientist takes part in almost all stages of a machine learning project by making important decisions and configuring the model. Data preparation and cleaning. Final analytics are only as good and accurate as the data they use. Data warehousing.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98

Edureka

DECEMBER 12, 2023

Innovation,DetailOriented Business Systems Analyst INR 9,78,494 Problem solving , Data analysis , Project Management Reporting Analyst INR 4,00,000 Data and information visualization, Critical thinking, Analytical reasoning.

Business Analyst 40

Business Analyst Consulting NoSQL Manufacturing 40

ProjectPro

SEPTEMBER 26, 2021

Build an Awesome Job Winning Data Engineering Projects Portfoli o Technical Skills Required to Become a Big Data Engineer Database Systems: Data is the primary asset handled, processed, and managed by a Big Data Engineer. You must have good knowledge of the SQL and NoSQL database systems.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 20, 2023

It offers various data preparation, classification, regression, clustering, and visualization techniques. Data Engineer vs Machine Learning Engineer: Salary These two vocations each have significant earning potential. You should be skilled in SQL and knowledgeable about NoSQL databases like Cassandra, MongoDB, and HBase.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 7, 2023

For storing structured data that does not adhere to the typical relational database schema, use Azure Tables, a NoSQL storage solution. 14) What are Azure Databricks, and how are they unique from standard data bricks? An open-source big data processing platform is Apache Spark in its Azure version.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

U-Next

SEPTEMBER 9, 2022

Wide-ranging and Extensive Skillset Needed: Working in Data Science involves far more than just knowing how to code. You need to be skilled at using tools like Spark, Hadoop, and NoSQL. They should be proficient in Python or R and at ease handling huge data sets. Finding someone with all these skills is really difficult. .

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

ProjectPro

DECEMBER 10, 2021

It is a cloud-based NoSQL database that deals mainly with modern app development. CosmosDB data can be easily shared and replicated anywhere in the world, which ensures faster and more efficient app development. Azure Table Storage- Azure Tables is a NoSQL database for storing structured data without a schema.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

JANUARY 19, 2022

They must be skilled at creating solutions that use the Azure Cosmos DB for NoSQL API. This Azure project will teach you about the ETL process, which entails extracting, transforming, and loading data to acquire business insights. This real-world data engineering project has three steps. The final step is to publish your work.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

APRIL 27, 2016

Pig Hadoop dominates the big data infrastructure at Yahoo as 60% of the processing happens through Apache Pig Scripts. This paved path for a novel technology that could search the huge cache quickly- a distributed storage system for managing structured data that could scale to petabytes of data across thousands of commodity servers.

Hadoop 40

Hadoop Big Data Technology Big Data Tools 40

ProjectPro

NOVEMBER 15, 2021

In addition to analytics and data science, RAPIDS focuses on everyday data preparation tasks. It can even replace broken nodes without shutting down the system, and it can automatically replicate data across numerous nodes.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

SEPTEMBER 6, 2021

GCP Dataflow AWS glue is a fully managed, serverless extract, transform and load (ETL) service to discover, prepare and integrate data from multiple sources for machine learning, analytics, and application development. It is a serverless data integration service that makes data preparation easier, cheaper and faster.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

ProjectPro

JUNE 2, 2015

It is difficult to make sense out of billions of unstructured data points (in the form of news articles, forum comments, and social media data) without powerful technologies like Hadoop, Spark and NoSQL in place. times better than those with ad-hoc or decentralized teams.

Big Data 40

Big Data Hadoop Banking Retail 40