AltexSoft

FEBRUARY 11, 2023

Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists. But first, all candidates must be accredited by Arcitura as Big Data professionals.

Data Architect 87

Data Architect Certification Generalist Big Data 87

ProjectPro

MAY 2, 2017

Despite the hype around NoSQL, SQL is still the go-to query language for relational databases and other emerging novel database technologies. (Source : [link] ) Hortonworks Processes SQL in Memory on Hadoop.itbusinessedge.com, April 5, 2017. Hortonworks unveiled this use case of SQL through Apache Hive 2.0

Hadoop 52

Hadoop Entertainment Data Lake Big Data 52

Cloud Academy

JANUARY 27, 2022

These fundamentals will give you a solid foundation in data and datasets. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. Have knowledge of regular expressions (RegEx) It is essential to be able to use regular expressions to manipulate data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

AUGUST 21, 2024

Exam code: DP-100 Exam cost: $165 USD Microsoft Certified: Azure Data Engineer Associate (DP-203) The professional certification mainly targets professionals responsible for designing and implementing data solutions with Azure.

Certification 52

Certification Cloud Computing Cloud Machine Learning 52

Knowledge Hut

SEPTEMBER 26, 2023

The duties and responsibilities that a Microsoft Azure Data Engineer is required to carry out are all listed in this section: Data engineers provide and establish on-premises and cloud-based data platform technologies. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

DECEMBER 29, 2023

Learning Outcomes: You will understand the processes and technology necessary to operate large data warehouses. Engineering and problem-solving abilities based on Big Data solutions may also be taught. By keeping all of the data linked together, the database management system also makes room for fresh updates.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

ProjectPro

JANUARY 19, 2022

A data engineer should be aware of how the data landscape is changing. They should also be mindful of how data systems have evolved and benefited data professionals. Explore the distinctions between on-premises and cloud data solutions. Learning SQL is essential to comprehend the database and its structures.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 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. Azure Data Engineer Bootcamps: Consider enrolling in intensive bootcamp programs offered by training providers.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

NOVEMBER 19, 2023

Benefits of Azure Data Engineer Tools Azure tools for Data Engineers offer several benefits for organizations and professionals involved in data engineering: Scalability: Azure data services can scale elastically to handle growing data volumes and workloads, ensuring that your data solutions remain performant as your needs expand.

Data Engineering 52

Data Engineering Data Engineer Engineering PostgreSQL 52

ProjectPro

AUGUST 31, 2018

Azure and AWS both provide database services, regardless of whether you need a relational database or a NoSQL offering. Amazon’s RDS (Relational Database Service ) and Microsoft’s equivalent SQL Server database both are highly available and durable and provide automatic replication.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

Knowledge Hut

OCTOBER 3, 2023

Being an associate level course, you must have some prior knowledge in Power BI, Data Analysis Expressions (DAX), and Power Query. Further proficiency in visualizing data, analyzing data by using Transact-SQL (T-SQL), and querying relational databases will come handy.

Certification 52

Certification Cloud Computing Machine Learning SQL 52

ProjectPro

NOVEMBER 5, 2014

Scope of application - Hadoop and MongoDB Scope of usage in Batch Aggregation Scope of usage in Data Warehousing MongoDB and Hadoop- A perfect match made for data processing Traditional relational databases were ruling the roost until datasets were being reckoned in megabytes and gigabytes.

MongoDB 40

MongoDB Hadoop NoSQL Big Data 40

Knowledge Hut

NOVEMBER 16, 2023

AWS Certified Big Data – Specialty AWS Big Data – Specialty certification is for professionals working in the field of data analysis with experience in designing and architecting big data solutions. There are discussions on data migration and schema processes irrespective of the target database.

AWS 52

AWS Certification Amazon Web Services Machine Learning 52

Knowledge Hut

SEPTEMBER 26, 2023

Supports Structured and Unstructured Data: One of Azure Synapse's standout features is its versatility in handling a wide array of data types. Whether your data is structured, like traditional relational databases, or unstructured, such as textual data, images, or log files, Azure Synapse can manage it effectively.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ProjectPro

SEPTEMBER 11, 2015

For professionals from BI background, learning Hadoop is necessary because with data explosion it is becoming difficult for traditional databases to store unstructured data. Hadoop still has a long way to go when it comes to presenting clean and readable data solutions. Hadoop is not suitable for all kinds of data.

Hadoop 52

Hadoop Java BI Big Data 52

Edureka

JULY 18, 2023

Oxagile specializes in custom software development, with a focus on multi-platform video streaming, AdTech, EdTech, and big data solutions. Oracle’s first product was a relational database management system (RDBMS) called Oracle Database. Revenue: $43.9

Data Analytics 40

Data Analytics Telecommunication Retail Manufacturing 40

Knowledge Hut

SEPTEMBER 29, 2023

Great for those keen on exploring data roles in the cloud. If a company wants to store customer data, this certification provides the foundational knowledge on choosing between relational or non-relational databases in Azure. Think of it as picking the best digital "storage box" for specific data types.

Certification 52

Certification Cloud Computing Cloud Non-relational Database 52

ProjectPro

JULY 30, 2021

Apache Spark forms the complete big data solution along with HDFS, Yarn, Map-Reduce. It backs up data in AWS S3 in real-time without any performance impact. It backs up storage in a routine fashion without the hassle of Database administrators interfering. The processing happens in memory for the sake of high performance.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Knowledge Hut

SEPTEMBER 6, 2023

Data Mining and ETL : For gathering, transforming, and integrating data from diverse sources, proficiency in data mining techniques and Extract, Transform, Load (ETL) processes is required. These platforms provide out of the box big data tools and also help in managing deployments. No prior experience is required.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

MARCH 16, 2015

Here begins the journey through big data in healthcare highlighting the prominently used applications of big data in healthcare industry. This data was mostly generated by various regulatory requirements, record keeping, compliance and patient care. trillion towards healthcare data solutions in the Healthcare industry.

Healthcare 40

Healthcare Big Data Project Hospitality 40

ProjectPro

MAY 31, 2021

However, there are ways to improve big data optimization- Reduce Processing Latency- Conventional database models have latency in processing because data retrieval takes a long time. Analyze Data Before Taking Actions- It's advisable to examine data before acting on it by combining batch and real-time processing.

Big Data 52

Big Data Coding Project Hadoop 52