Siphiwe  Nair

Siphiwe Nair

1629201240

top 5 AWS Services Every Data Scientist Needs To Know Right Away

Amazon Web Services (AWS) provides a dizzying array of cloud services, from the well known Elastic Compute Cloud (EC2) and Simple Storage Service (S3) to platform as a service (PaaS) offerings covering almost every aspect of modern computing.

Specifically, AWS provides a mature big data architecture with services covering the entire data processing pipeline — from ingestion through treatment and pre-processing, ETL, querying and analysis, to visualization and dashboarding. AWS lets you manage big data seamlessly and effortlessly, without having to set up complex infrastructure or deploy software solutions like Spark or Hadoop.

In this article I’ll cover five Amazon services, each covering an essential element of the modern data science workflow.

1. Amazon EMR

2. AWS Glue

3. Amazon SageMaker

4. Amazon Kinesis Video Streams

5. Amazon QuickSight

#big-data #aws #data-science 

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top 5 AWS Services Every Data Scientist Needs To Know Right Away
Siphiwe  Nair

Siphiwe Nair

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Siphiwe  Nair

Siphiwe Nair

1629201240

top 5 AWS Services Every Data Scientist Needs To Know Right Away

Amazon Web Services (AWS) provides a dizzying array of cloud services, from the well known Elastic Compute Cloud (EC2) and Simple Storage Service (S3) to platform as a service (PaaS) offerings covering almost every aspect of modern computing.

Specifically, AWS provides a mature big data architecture with services covering the entire data processing pipeline — from ingestion through treatment and pre-processing, ETL, querying and analysis, to visualization and dashboarding. AWS lets you manage big data seamlessly and effortlessly, without having to set up complex infrastructure or deploy software solutions like Spark or Hadoop.

In this article I’ll cover five Amazon services, each covering an essential element of the modern data science workflow.

1. Amazon EMR

2. AWS Glue

3. Amazon SageMaker

4. Amazon Kinesis Video Streams

5. Amazon QuickSight

#big-data #aws #data-science 

Big Data Consulting Services | Big Data Development Experts USA

Big Data Consulting Services

Traditional data processing application has limitations of its own in terms of processing the large chunk of complex data and this is where the big data processing application comes into play. Big data processing app can easily process complex and large information with their advanced capabilities.

Want to develop a Big Data Processing Application?

WebClues Infotech with its years of experience and serving 350+ clients since our inception is the agency to trust for the Big Data Processing Application development services. With a team that is skilled in the latest technologies, there can be no one better for fulfilling your development requirements.

Want to know more about our Big Data Processing App development services?

Visit: https://www.webcluesinfotech.com/big-data-solutions/

Share your requirements https://www.webcluesinfotech.com/contact-us/

View Portfolio https://www.webcluesinfotech.com/portfolio/

#big data consulting services #big data development experts usa #big data analytics services #big data services #best big data analytics solution provider #big data services and consulting

Java Questions

Java Questions

1599137520

50 Data Science Jobs That Opened Just Last Week

Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.

In this article, we list down 50 latest job openings in data science that opened just last week.

(The jobs are sorted according to the years of experience r

1| Data Scientist at IBM

**Location: **Bangalore

Skills Required: Real-time anomaly detection solutions, NLP, text analytics, log analysis, cloud migration, AI planning, etc.

Apply here.

2| Associate Data Scientist at PayPal

**Location: **Chennai

Skills Required: Data mining experience in Python, R, H2O and/or SAS, cross-functional, highly complex data science projects, SQL or SQL-like tools, among others.

Apply here.

3| Data Scientist at Citrix

Location: Bangalore

Skills Required: Data modelling, database architecture, database design, database programming such as SQL, Python, etc., forecasting algorithms, cloud platforms, designing and developing ETL and ELT processes, etc.

Apply here.

4| Data Scientist at PayPal

**Location: **Bangalore

Skills Required: SQL and querying relational databases, statistical programming language (SAS, R, Python), data visualisation tool (Tableau, Qlikview), project management, etc.

Apply here.

5| Data Science at Accenture

**Location: **Bibinagar, Telangana

Skills Required: Data science frameworks Jupyter notebook, AWS Sagemaker, querying databases and using statistical computer languages: R, Python, SLQ, statistical and data mining techniques, distributed data/computing tools such as Map/Reduce, Flume, Drill, Hadoop, Hive, Spark, Gurobi, MySQL, among others.


#careers #data science #data science career #data science jobs #data science news #data scientist #data scientists #data scientists india

5 Indian Companies Recruiting Data Scientists In Large Numbers

According to a recent study on analytics and data science jobs, the number of vacancies for data science-related jobs in India has increased by 53 per cent, since India eased the lockdown restrictions. Moreover, India’s share of open data science jobs in the world has seen a steep rise from 7.2 per cent in January to 9.8 per cent in August.

Here is a list of 5 such companies, in no particular order, in India that are currently recruiting Data Scientists in bulk.

#careers #data science #data science career #data science jobs #data science recruitment #data scientist #data scientist jobs