Data lake I Data Lake Development with Big Data

Data Lake Development with Big Data

Rs. 599
Rs. 509
6 new from Rs. 509
Free shipping
Buy Now
Amazon.in
as of April 9, 2018 12:12 am

Features

AuthorPradeep Pasupuleti; Beulah Salome Purra
BindingPaperback
EAN9781785888083
EAN ListEAN List Element: 9781785888083
FormatImport
ISBN1785888080
Item DimensionsHeight: 925; Length: 750; Weight: 65; Width: 37
LabelPackt Publishing Limited
ManufacturerPackt Publishing Limited
MPNblack & white illustrations
Number Of Items1
Number Of Pages164
Package DimensionsHeight: 47; Length: 921; Weight: 71; Width: 740
Part Numberblack & white illustrations
Product GroupBook
Product Type NameABIS_BOOK
Publication Date2015-11-26
PublisherPackt Publishing Limited
StudioPackt Publishing Limited
TitleData Lake Development with Big Data

Product Description

This book is for architects and senior managers who are responsible for building a strategy around their current data architecture. The reader will need a good knowledge of master data management, information lifecycle management, data governance, data product design, data engineering, and systems architecture. Also required is experience of Big Data technologies such as Hadoop, Spark, Splunk, and Storm.

Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump

Rs. 2,068
Rs. 1,119
17 new from Rs. 1,119
Free shipping
Buy Now
Amazon.in
as of April 9, 2018 12:12 am

Features

  • Technics Publications, LLC

Product Description

Organizations invest incredible amounts of time and money obtaining and then storing big data in data stores called data lakes. But how many of these organizations can actually get the data back out in a useable form? Very few can turn the data lake into an information gold mine. Most wind up with garbage dumps.Data Lake Architecture will explain how to build a useful data lake, where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for date lake success: metadata, integration mapping, context, and metaprocess.Bill Inmon opened our eyes to the architecture and benefits of a data warehouse, and now he takes us to the next level of data lake architecture.

Data Lake for Enterprises

Rs. 1,399
Rs. 1,189
7 new from Rs. 1,189
Free shipping
Buy Now
Amazon.in
as of April 9, 2018 12:12 am

Features

AuthorTomcy John; Pankaj Misra
BindingPaperback
EAN9781787281349
EAN ListEAN List Element: 9781787281349
FormatImport
ISBN1787281345
Item DimensionsHeight: 925; Length: 750; Width: 135
LabelPackt Publishing Limited
ManufacturerPackt Publishing Limited
Number Of Pages596
Package DimensionsHeight: 142; Length: 921; Weight: 251; Width: 764
Product GroupBook
Product Type NameABIS_BOOK
Publication Date2017-05-31
PublisherPackt Publishing Limited
StudioPackt Publishing Limited
TitleData Lake for Enterprises

Product Description

A practical guide to implementing your enterprise data lake using Lambda Architecture as the base About This Book * Build a full-fledged data lake for your organization with popular big data technologies using the Lambda architecture as the base * Delve into the big data technologies required to meet modern day business strategies * A highly practical guide to implementing enterprise data lakes with lots of examples and real-world use-cases Who This Book Is For Java developers and architects who would like to implement a data lake for their enterprise will find this book useful. If you want to get hands-on experience with the Lambda Architecture and big data technologies by implementing a practical solution using these technologies, this book will also help you. What You Will Learn * Build an enterprise-level data lake using the relevant big data technologies * Understand the core of the Lambda architecture and how to apply it in an enterprise * Learn the technical details around...

Data lake
Data lake

What is data lake? - Definition from WhatIs.com

A data lake is a large object-based storage repository that holds data in its native format until it is needed.While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.

Data Lake | Microsoft Azure

Store data of any size, shape, and speed with Azure Data Lake. Power your big data analytics, develop massively parallel programs, and scale with future growth.

Data lake - Wikipedia

A data lake is a method of storing data within a system or repository, in its natural format, that facilitates the collocation of data in various schemata and structural forms, usually object blobs or files. The idea of data lake is to have a single store of all data in the enterprise ranging from raw data (which implies exact copy of source system data) to transformed data which is used for ...

data lake - Wiktionary

Pentaho CTO James Dixon is credited with coining the term "data lake". [1] As he described it in his blog entry, "If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state ...

Data Lake vs Data Warehouse: Key Differences - KDnuggets

We hear lot about the data lakes these days, and many are arguing that a data lake is same as a data warehouse. But in reality, they are both optimized for different purposes, and the goal is to use each one for what they were designed to do.

What is a Data Lake

http://www.emc.com/big-data/marketing.htm.

What is a Data Lake?

Learn fundamentally what a Data Lake accomplishes for your organization.

Enterprise Data Lake: Architecture Using Big Data Technologies - Bhushan Satpute, Solution Architect

The Data Lake, A Perfect Place for Multi-Structured Data - Bhushan Satpute, Architect, Persistent Systems.

Leave a Reply

Your email address will not be published. Required fields are marked *