ProjectPro

JULY 13, 2015

billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. Apache Hadoop is the framework of choice for JPMorgan - not only to support the exponentially growing data size but more importantly for the fast processing of complex unstructured data.

Hadoop 52

Hadoop Big Data Data Analytics Banking 52

Cloudera

SEPTEMBER 17, 2020

For the majority of Spark’s existence, the typical deployment model has been within the context of Hadoop clusters with YARN running on VM or physical servers. For a data engineer that has already built their Spark code on their laptop, we have made deployment of jobs one click away. Each DAG is defined using python code.

Data Pipeline 104

Data Pipeline Data Engineer Data Engineering Engineering 104

ProjectPro

MAY 19, 2015

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. With Hadoop, even the impossible things look so trivial. So the big question is how is learning Hadoop helpful to you as an individual?

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

U-Next

AUGUST 17, 2022

SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities. Hadoop Apache Data Engineers utilize the open-source Hadoop platform to store and process enormous volumes of data.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

ProjectPro

APRIL 2, 2015

Retail industry is rapidly adopting the data centric technology to boost sales. Thus, it is extremely important for retailers to employ sentiment analysis using Hadoop, for precise and accurate predictions as the customers are unforgiving. Retail big data analytics is the future of retail as it separates the wheat from the chaff.

Retail 40

Retail Hadoop Big Data Data Mining 40

ProjectPro

JUNE 1, 2015

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization We have come a long way, but have we been able to harness the full power of Big Data analytics in healthcare ? Big Trends in Healthcare Industry 50 years back healthcare services were mostly physician centric.

Healthcare 52

Healthcare Big Data Database-centric Hospitality 52

Knowledge Hut

DECEMBER 27, 2023

Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. Often stored in computer databases or the cloud and is analyzed using software specifically designed to handle large, complex data sets. What is Big Data?

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. There is a need for a database technology that can render 24/7 support to store, process and analyze this data. Table of Contents Can the conventional SQL scale up to these requirements?

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Ascend.io

SEPTEMBER 14, 2023

Immediate Execution: Python code runs directly through the interpreter, eliminating the need for a separate compilation step. Platform Independence: With an interpreter for a specific platform, Python code can typically run without changes. It's specialized for database querying. Compiled, targeting the JVM.

Data Engineer 52

Data Engineer Data Engineering Python Engineering 52

Knowledge Hut

NOVEMBER 15, 2023

Looking for a position to test my skills in implementing data-centric solutions for complicated business challenges. Sound knowledge of developing web portals, e-commerce applications, and code authoring. Seeking to provide coding and scripting competencies to the company's IT dept. An entry-level graduate with B.S.

Finance 98

Finance Database-centric Certification Business Intelligence 98

Knowledge Hut

FEBRUARY 27, 2023

In large organizations, data engineers concentrate on analytical databases, operate data warehouses that span multiple databases, and are responsible for developing table schemas. Data engineering builds data pipelines for core professionals like data scientists, consumers, and data-centric applications.

Data Engineer 52

Data Engineer Data Engineering Database-centric Pipeline-centric 52

Grouparoo

OCTOBER 6, 2021

42 Learn to Use a NoSQL Database, but Not like an RDBMS Write answers to questions in NoSQL databases for fast access 43 Let the Robots Enforce the Rules Work with people to standardize and use code to enforce rules 44 Listen to Your Users—but Not Too Much Create a data team vision and strategy. What does that do?

Data Engineer 52

Data Engineer Data Engineering Engineering Pipeline-centric 52

Knowledge Hut

NOVEMBER 17, 2023

Becoming an Azure Data Engineer in this data-centric landscape is a promising career choice. To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases. Learn how to process and analyze large datasets efficiently.

Data Engineer 52

Data Engineer Data Engineering Engineering Scala 52

Knowledge Hut

SEPTEMBER 26, 2023

It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. This cloud-centric approach ensures scalability, flexibility, and cost-efficiency for your data workloads.

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

Knowledge Hut

JANUARY 24, 2024

From wrestling with complex datasets to crafting predictive models, a data scientist's routine is a dynamic interplay of analytical prowess, coding finesse, and a profound understanding of the business landscape. However, beneath the surface of these data-centric activities lies the core role of a data scientist – that of a problem solver.

Database-centric 52

Database-centric Data Science Machine Learning Algorithm 52

Knowledge Hut

JANUARY 30, 2024

Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. Identifying customer segments based on purchase behavior in a sales database. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.

ETL Tools 52

ETL Tools Database-centric Data Mining Raw Data 52

ProjectPro

JULY 30, 2021

PAAS - PaaS provides enterprises with a platform where they could deploy their code and applications. Map-reduce - Map-reduce enables users to use resizable Hadoop clusters within Amazon infrastructure. Compared to Cloud computing, Mobile computing is more customer-centric. What are the platforms that use Cloud Computing?

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

ProjectPro

AUGUST 18, 2021

Unsurprisingly, the world has become data-centric, and companies digitally store more than 90% of the global data. Tableau supports data extraction from simple data storage systems such as MS Excel or MS Access and intricate database systems like Oracle. A code editor will pop up. Tableau Server Interview Questions 14.

BI 40

BI SQL Database-centric Software Engineer 40

ProjectPro

SEPTEMBER 11, 2021

RUP is a procedure of software development that is “iterative, architecture-centric, and use-case driven” The RUP method involves listing requirements as use cases, which helps keep track of value to the lone business stakeholders for each piece of serviceability. What is a database cursor? What is the RUP method?

Business Analyst 52

Business Analyst Database-centric MySQL SQL 52